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      <text>C-Equazione  due passaggi semplici 2</text>
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      <text>C-Equazione  due passaggi semplici 3</text>
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<!-- question: 6  -->
  <question type="calculated">
    <name>
      <text>C-Equazione facile un passaggio semplice 3</text>
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    <questiontext format="html">
      <text><![CDATA[<p>Quale è la soluzione x + {a} = {={a} + {b}}<br></p>]]></text>
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    <number_of_items>31</number_of_items>
</dataset_definition>
</dataset_definitions>
  </question>

<!-- question: 683  -->
  <question type="multichoice">
    <name>
      <text>RM-Equazioni facili un passaggio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale è la soluzione di 3x = 12<br>]]></text>
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    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
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    <correctfeedback format="html">
      <text>Risposta corretta.</text>
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    <partiallycorrectfeedback format="html">
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <answer fraction="100" format="html">
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    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>x = 6<br></p>]]></text>
      <feedback format="html">
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    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>x = 9<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>x = 3<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 684  -->
  <question type="multichoice">
    <name>
      <text>RM-Equazioni facili un passaggio 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale è la soluzione di 2x = 8<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>x = 4<br></p>]]></text>
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    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>x = 6<br></p>]]></text>
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    <answer fraction="0" format="html">
      <text><![CDATA[<p>x = 8<br></p>]]></text>
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    <answer fraction="0" format="html">
      <text><![CDATA[<p>x = 2<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Equazioni/Equazioni semplificate facilmente risolvibili 1 punto</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 7  -->
  <question type="calculatedmulti">
    <name>
      <text>SMC-Equazione intera primo principio equivalenza facile</text>
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      <text><![CDATA[L'equazione&nbsp; $$ x - {A} = 0 $$ ha come soluzione<br>]]></text>
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      <text><![CDATA[<p><br><br></p>]]></text>
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<text></text>
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</answer>
<answer fraction="0">
    <text>$$ x= - {A} $$</text>
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<text></text>
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</answer>
<answer fraction="0">
    <text>$$ x= 0 $$</text>
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    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
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<text></text>
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</answer>
<answer fraction="0">
    <text>$$ {A}=  0 $$</text>
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    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
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</answer>
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<dataset_definition>
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    <minimum><text>1</text>
</minimum>
    <maximum><text>9</text>
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    <decimals><text>0</text>
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    <itemcount>9</itemcount>
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           <number>1</number>
           <value>1</value>
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           <number>2</number>
           <value>10</value>
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           <number>3</number>
           <value>9</value>
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        <dataset_item>
           <number>4</number>
           <value>5</value>
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        <dataset_item>
           <number>5</number>
           <value>2</value>
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        <dataset_item>
           <number>6</number>
           <value>4</value>
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           <value>9</value>
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           <value>7</value>
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           <number>9</number>
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           <value>5</value>
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    <number_of_items>10</number_of_items>
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</dataset_definitions>
  </question>

<!-- question: 792  -->
  <question type="multichoice">
    <name>
      <text>RM-equazione intera facile</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'equazione&nbsp; $$ 3x -4= 0 $$ è equivalente a <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
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    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ x= \frac {4}{3} $$<br></p>]]></text>
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        <text></text>
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    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ x= \frac {3}{4} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ x =&nbsp; 4 - 3 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ x =&nbsp; 3 - 4 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Equazioni/Equazioni intere semplici II principio equivalenza un passaggio 1 punto</text>
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    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 8  -->
  <question type="calculatedmulti">
    <name>
      <text>SMC-Equazione intera secondo principio equivalenza un passaggio facile</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[L'equazione&nbsp; $$ {A}x -{B}= 0 $$ è equivalente a <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><br><br></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <synchronize>1</synchronize>
    <single>1</single>
    <answernumbering>abc</answernumbering>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback>
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback>
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback>
      <text>Risposta errata.</text>
    </incorrectfeedback>
<answer fraction="100">
    <text>$$ x= \frac {B}{A} $$</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
    </feedback>
</answer>
<answer fraction="0">
    <text>$$ x= \frac {A}{B} $$</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
    </feedback>
</answer>
<answer fraction="0">
    <text>$$ x= {B} - {A} $$</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
    </feedback>
</answer>
<answer fraction="0">
    <text>$$ x=  {A} - {B} $$</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
    </feedback>
</answer>
<dataset_definitions>
<dataset_definition>
    <status><text>private</text>
</status>
    <name><text>B</text>
</name>
    <type>calculatedsimple</type>
    <distribution><text>loguniform</text>
</distribution>
    <minimum><text>1</text>
</minimum>
    <maximum><text>9</text>
</maximum>
    <decimals><text>0</text>
</decimals>
    <itemcount>9</itemcount>
    <dataset_items>
        <dataset_item>
           <number>1</number>
           <value>7</value>
        </dataset_item>
        <dataset_item>
           <number>2</number>
           <value>8</value>
        </dataset_item>
        <dataset_item>
           <number>3</number>
           <value>5</value>
        </dataset_item>
        <dataset_item>
           <number>4</number>
           <value>9</value>
        </dataset_item>
        <dataset_item>
           <number>5</number>
           <value>7</value>
        </dataset_item>
        <dataset_item>
           <number>6</number>
           <value>2</value>
        </dataset_item>
        <dataset_item>
           <number>7</number>
           <value>9</value>
        </dataset_item>
        <dataset_item>
           <number>8</number>
           <value>8</value>
        </dataset_item>
        <dataset_item>
           <number>9</number>
           <value>8</value>
        </dataset_item>
        <dataset_item>
           <number>10</number>
           <value>4</value>
        </dataset_item>
    </dataset_items>
    <number_of_items>10</number_of_items>
</dataset_definition>
<dataset_definition>
    <status><text>private</text>
</status>
    <name><text>A</text>
</name>
    <type>calculatedsimple</type>
    <distribution><text>loguniform</text>
</distribution>
    <minimum><text>1</text>
</minimum>
    <maximum><text>9</text>
</maximum>
    <decimals><text>0</text>
</decimals>
    <itemcount>9</itemcount>
    <dataset_items>
        <dataset_item>
           <number>1</number>
           <value>1</value>
        </dataset_item>
        <dataset_item>
           <number>2</number>
           <value>10</value>
        </dataset_item>
        <dataset_item>
           <number>3</number>
           <value>9</value>
        </dataset_item>
        <dataset_item>
           <number>4</number>
           <value>5</value>
        </dataset_item>
        <dataset_item>
           <number>5</number>
           <value>2</value>
        </dataset_item>
        <dataset_item>
           <number>6</number>
           <value>4</value>
        </dataset_item>
        <dataset_item>
           <number>7</number>
           <value>9</value>
        </dataset_item>
        <dataset_item>
           <number>8</number>
           <value>7</value>
        </dataset_item>
        <dataset_item>
           <number>9</number>
           <value>7</value>
        </dataset_item>
        <dataset_item>
           <number>10</number>
           <value>5</value>
        </dataset_item>
    </dataset_items>
    <number_of_items>10</number_of_items>
</dataset_definition>
</dataset_definitions>
  </question>

<!-- question: 9  -->
  <question type="calculatedmulti">
    <name>
      <text>SMC-Equazione intera secondo principio equivalenza un passaggio segno negativo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[L'equazione&nbsp; $$ {A}x +{B}= 0 $$ è equivalente a <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><br><br></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <synchronize>1</synchronize>
    <single>1</single>
    <answernumbering>abc</answernumbering>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback>
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback>
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback>
      <text>Risposta errata.</text>
    </incorrectfeedback>
<answer fraction="100">
    <text>$$ x= - \frac {B}{A} $$</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
    </feedback>
</answer>
<answer fraction="0">
    <text>$$ x= \frac {A}{B} $$</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
    </feedback>
</answer>
<answer fraction="0">
    <text>$$ x= -{B} - {A} $$</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
    </feedback>
</answer>
<answer fraction="0">
    <text>$$ x=  {A} - {B} $$</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>1</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
    </feedback>
</answer>
<dataset_definitions>
<dataset_definition>
    <status><text>private</text>
</status>
    <name><text>B</text>
</name>
    <type>calculatedsimple</type>
    <distribution><text>loguniform</text>
</distribution>
    <minimum><text>1</text>
</minimum>
    <maximum><text>9</text>
</maximum>
    <decimals><text>0</text>
</decimals>
    <itemcount>9</itemcount>
    <dataset_items>
        <dataset_item>
           <number>1</number>
           <value>7</value>
        </dataset_item>
        <dataset_item>
           <number>2</number>
           <value>8</value>
        </dataset_item>
        <dataset_item>
           <number>3</number>
           <value>5</value>
        </dataset_item>
        <dataset_item>
           <number>4</number>
           <value>9</value>
        </dataset_item>
        <dataset_item>
           <number>5</number>
           <value>7</value>
        </dataset_item>
        <dataset_item>
           <number>6</number>
           <value>2</value>
        </dataset_item>
        <dataset_item>
           <number>7</number>
           <value>9</value>
        </dataset_item>
        <dataset_item>
           <number>8</number>
           <value>8</value>
        </dataset_item>
        <dataset_item>
           <number>9</number>
           <value>8</value>
        </dataset_item>
        <dataset_item>
           <number>10</number>
           <value>4</value>
        </dataset_item>
    </dataset_items>
    <number_of_items>10</number_of_items>
</dataset_definition>
<dataset_definition>
    <status><text>private</text>
</status>
    <name><text>A</text>
</name>
    <type>calculatedsimple</type>
    <distribution><text>loguniform</text>
</distribution>
    <minimum><text>1</text>
</minimum>
    <maximum><text>9</text>
</maximum>
    <decimals><text>0</text>
</decimals>
    <itemcount>9</itemcount>
    <dataset_items>
        <dataset_item>
           <number>1</number>
           <value>1</value>
        </dataset_item>
        <dataset_item>
           <number>2</number>
           <value>10</value>
        </dataset_item>
        <dataset_item>
           <number>3</number>
           <value>9</value>
        </dataset_item>
        <dataset_item>
           <number>4</number>
           <value>5</value>
        </dataset_item>
        <dataset_item>
           <number>5</number>
           <value>2</value>
        </dataset_item>
        <dataset_item>
           <number>6</number>
           <value>4</value>
        </dataset_item>
        <dataset_item>
           <number>7</number>
           <value>9</value>
        </dataset_item>
        <dataset_item>
           <number>8</number>
           <value>7</value>
        </dataset_item>
        <dataset_item>
           <number>9</number>
           <value>7</value>
        </dataset_item>
        <dataset_item>
           <number>10</number>
           <value>5</value>
        </dataset_item>
    </dataset_items>
    <number_of_items>10</number_of_items>
</dataset_definition>
</dataset_definitions>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Posizionare su immagini costi, prezzi al kg e pesi</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 10  -->
  <question type="ddimageortext">
    <name>
      <text>Calcola il costo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Tenuto conto del peso calcola e posiziona il costo sulla frutta.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>1,44 €</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>1,16 €</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>0,72 €</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>239</xleft>
      <ytop>134</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>54</xleft>
      <ytop>134</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>443</xleft>
      <ytop>134</ytop>
    </drop>
  </question>

<!-- question: 11  -->
  <question type="ddimageortext">
    <name>
      <text>Calcola il peso</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Dal costo e dal prezzo al kg calcola il peso della quantità di frutta in vendita e posizionalo correttamente.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>250 g</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>5 kg</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>3 kg</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>444</xleft>
      <ytop>140</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>233</xleft>
      <ytop>140</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>66</xleft>
      <ytop>140</ytop>
    </drop>
  </question>

<!-- question: 12  -->
  <question type="ddimageortext">
    <name>
      <text>Calcola prezzo al kg 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona il giusto prezzo al kg sugli articoli.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="MandariniMeleBananeTrovaPrezzoAlKg.jpg" 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</file>

    <drag>
      <no>1</no>
      <text>0,90 €</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>0,80 €</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>2,80 €</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>64</xleft>
      <ytop>241</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>245</xleft>
      <ytop>244</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>453</xleft>
      <ytop>267</ytop>
    </drop>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Stati della materia/Classificazione materia</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 13  -->
  <question type="ddimageortext">
    <name>
      <text>Classificazione degli stati dell'acqua</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le etichette in modo da ottenere una corretta classificazione degli stati dell'acqua sulla terra, l'etichetta inferiore (sfondo bianco) denomina lo stato, quella superiore (sfondo azzurro) le proprietà delle particelle.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>Particelle legate e fisse</text>

      <draggroup>2</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Ghiaccio ai poli: stato solido</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Oceani e mari: stato liquido</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Nubi: stato gassoso</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>Particelle libere</text>

      <draggroup>2</draggroup>
    </drag>
    <drag>
      <no>6</no>
      <text>Particelle libere distanza fissa</text>

      <draggroup>2</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>115</xleft>
      <ytop>30</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>233</xleft>
      <ytop>69</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>158</xleft>
      <ytop>316</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>4</choice>
      <xleft>126</xleft>
      <ytop>139</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>5</choice>
      <xleft>17</xleft>
      <ytop>80</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>6</choice>
      <xleft>58</xleft>
      <ytop>246</ytop>
    </drop>
  </question>

<!-- question: 14  -->
  <question type="ddimageortext">
    <name>
      <text>Classificazione degli stati della materia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le etichette in modo da ottenere una corretta classificazione degli stati della materia, l'etichetta superiore (sfondo bianco) denomina lo stato, quella sotto (sfondo azzurro) i legami che caratterizzano le particelle.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>Particelle legate e vicine</text>

      <draggroup>2</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Solido</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Liquido</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Gassoso</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>Particelle libere</text>

      <draggroup>2</draggroup>
    </drag>
    <drag>
      <no>6</no>
      <text>Particelle libere distanza fissa</text>

      <draggroup>2</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>7</xleft>
      <ytop>274</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>7</xleft>
      <ytop>173</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>239</xleft>
      <ytop>164</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>4</choice>
      <xleft>471</xleft>
      <ytop>121</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>5</choice>
      <xleft>472</xleft>
      <ytop>278</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>6</choice>
      <xleft>239</xleft>
      <ytop>281</ytop>
    </drop>
  </question>

<!-- question: 15  -->
  <question type="ddimageortext">
    <name>
      <text>Classificazione della materia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le etichette in modo da ottenere una corretta classificazione della materia<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>Miscugli</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Sostanze</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Sostanze composte</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Elementi</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>Eterogenei</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>6</no>
      <text>Omogenei</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>141</xleft>
      <ytop>276</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>134</xleft>
      <ytop>106</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>321</xleft>
      <ytop>155</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>4</choice>
      <xleft>321</xleft>
      <ytop>38</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>5</choice>
      <xleft>331</xleft>
      <ytop>326</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>6</choice>
      <xleft>325</xleft>
      <ytop>235</ytop>
    </drop>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni cosa sono/Riconosci frazioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni cosa sono/Riconosci frazioni/Metti etichetta frazione 1 punto</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 16  -->
  <question type="ddimageortext">
    <name>
      <text>Figure e frazioni 1 1 punto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le frazioni sulle figure corrispondenti<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="FrazioneTreQuinti.png" 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</file>

    <drag>
      <no>1</no>
      <text>3/5</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>2/5</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>128</xleft>
      <ytop>102</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>231</xleft>
      <ytop>255</ytop>
    </drop>
  </question>

<!-- question: 17  -->
  <question type="ddimageortext">
    <name>
      <text>Figure e frazioni 2 1 punto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le frazioni sulle figure corrispondenti<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="FrazioneDueTerzi.png" 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</file>

    <drag>
      <no>1</no>
      <text>2/3</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>1/3</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>175</xleft>
      <ytop>93</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>178</xleft>
      <ytop>278</ytop>
    </drop>
  </question>

<!-- question: 18  -->
  <question type="ddimageortext">
    <name>
      <text>Figure e frazioni 3 1 punto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le frazioni sulle figure corrispondenti<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="FrazioneTreQuarti.png" 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</file>

    <drag>
      <no>1</no>
      <text>3/4</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>1/4</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>100</xleft>
      <ytop>110</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>250</xleft>
      <ytop>266</ytop>
    </drop>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Fenomeni endogeni della terra/Tettonica a placche 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 19  -->
  <question type="ddimageortext">
    <name>
      <text>Fosse, dorsali e faglie 3 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona sugli schemi in alto nel disegno etichette corrette.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>dorsale</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>fossa</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>faglia</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>190</xleft>
      <ytop>55</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>333</xleft>
      <ytop>2</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>22</xleft>
      <ytop>46</ytop>
    </drop>
  </question>

<!-- question: 104  -->
  <question type="cloze">
    <name>
      <text>Dorsali e fosse 2 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In corrispondenza delle correnti ascensionali del magma si formano le &nbsp; {1:MULTICHOICE:%100% dorsali #~%0% fosse #~%0% faglie}, dove le correnti convettive sono discendenti si formano le {1:MULTICHOICE:%0% dorsali #~%100% fosse #~%0% faglie}, ed infine in corrispondenza dei movimenti laterali sono presenti le&nbsp;{1:MULTICHOICE:%0% dorsali #~%0% fosse #~%100% faglie}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
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<!-- question: 108  -->
  <question type="cloze">
    <name>
      <text>Dorsali e fosse 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Si può considerare una placca oceanica come un blocco quadrilatero di litosfera il lato sul fondale forma&nbsp; {1:MULTICHOICE:%100% una dorsale#~%0% un bordo#~%0% una catena montuosa} quello prossimo alla costa {1:MULTICHOICE:%0% una dorsale #~%0% una spiaggia #~%100% una fossa}, gli altri due lati sono detti {1:MULTICHOICE:%0% dorsali secondarie#~%100% faglie trasformi#~%0% faglie secondarie}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 165  -->
  <question type="cloze">
    <name>
      <text>Prove a favore della deriva dei continenti 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le prove che sia esistita la Pangea all'origine della deriva dei continenti si riassumono&nbsp; {1:MULTICHOICE:%100% nella forme combacianti di alcuni continenti lontani #~%0% nel fatto che i continenti siano ai margini dello stesso mare #~%0% nel movimento dei continenti rilevato dai satelliti},&nbsp; {1:MULTICHOICE:%0% nella presenza di vulcani sulle coste #~%100% nella coincidenza delle formazioni rocciose #~%0% nella presenza di terremoti} e {1:MULTICHOICE:%0% nella coincidenza delle lingue parlate #~%100% nella coincidenza dei fossili animali #~%0% nella somiglianza degli animali viventi nei diversi continenti}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni cosa sono/Riconosci frazioni/Metti etichetta frazioni 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni cosa sono/Riconosci frazioni/Metti etichetta frazioni 3 punti/Etichetta frazioni difficili 3 punti</text>
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      <text></text>
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<!-- question: 20  -->
  <question type="ddimageortext">
    <name>
      <text>Metti etichetta frazione difficili 1 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale frazione di quadretti rappresentano le figure<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="Unquartosedicesimoottavo.png" 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</file>

    <drag>
      <no>1</no>
      <text>1/12</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>1/8</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>1/6</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>58</xleft>
      <ytop>111</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>218</xleft>
      <ytop>330</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>432</xleft>
      <ytop>79</ytop>
    </drop>
  </question>

<!-- question: 21  -->
  <question type="ddimageortext">
    <name>
      <text>Metti etichetta frazione difficili 2 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale frazione di quadretti rappresentano le figure<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="Unquartoventiquattresimoterzo.png" 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</file>

    <drag>
      <no>1</no>
      <text>1/24</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>1/3</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>1/4</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>28</xleft>
      <ytop>132</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>429</xleft>
      <ytop>172</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>171</xleft>
      <ytop>224</ytop>
    </drop>
  </question>

<!-- question: 22  -->
  <question type="ddimageortext">
    <name>
      <text>Metti etichetta frazione difficili 3 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale frazione di quadretti rappresentano le figure<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="Unottavoventiquattresimoquarto.png" 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</file>

    <drag>
      <no>1</no>
      <text>1/24</text>

      <draggroup>1</draggroup>
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    <drag>
      <no>2</no>
      <text>1/8</text>

      <draggroup>1</draggroup>
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    <drag>
      <no>3</no>
      <text>1/4</text>

      <draggroup>1</draggroup>
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      <xleft>476</xleft>
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    <drop>
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      <xleft>81</xleft>
      <ytop>122</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>253</xleft>
      <ytop>331</ytop>
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<!-- question: 0  -->
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      <text>$system$/top/Default per Sistema/Frazioni/Frazioni cosa sono/Riconosci frazioni/Metti etichetta frazioni 3 punti/Etichetta frazioni facili 3 punti</text>
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<!-- question: 23  -->
  <question type="ddimageortext">
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      <text>Metti etichetta frazioni facili 1 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona l'etichetta sulla frazione corrispondente<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>3/4</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>1/3</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>4/5</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>88</xleft>
      <ytop>88</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>483</xleft>
      <ytop>93</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>285</xleft>
      <ytop>92</ytop>
    </drop>
  </question>

<!-- question: 24  -->
  <question type="ddimageortext">
    <name>
      <text>Metti etichetta frazioni facili 2 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona l'etichetta sulla frazione corrispondente<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>5/6</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>1/4</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>2/3</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>88</xleft>
      <ytop>88</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>483</xleft>
      <ytop>93</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>288</xleft>
      <ytop>86</ytop>
    </drop>
  </question>

<!-- question: 25  -->
  <question type="ddimageortext">
    <name>
      <text>Metti etichetta frazioni facili 2 3 punti (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona l'etichetta sulla frazione corrispondente<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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    <drag>
      <no>1</no>
      <text>1/2</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>1/3</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>3/4</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>94</xleft>
      <ytop>91</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>288</xleft>
      <ytop>88</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>479</xleft>
      <ytop>92</ytop>
    </drop>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Fenomeni endogeni della terra/Vulcani 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 26  -->
  <question type="ddimageortext">
    <name>
      <text>Parti del vulcano 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le etichette sulle parti del vulcano<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="Plinian Eruption-blank_600x400.svg.png" 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</file>

    <drag>
      <no>1</no>
      <text>magma</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>cratere</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>colate laviche</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>145</xleft>
      <ytop>337</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>200</xleft>
      <ytop>178</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>82</xleft>
      <ytop>224</ytop>
    </drop>
  </question>

<!-- question: 145  -->
  <question type="cloze">
    <name>
      <text>Forme dei vulcani 1 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><a title="© Sémhur / Wikimedia Commons, attraverso Wikimedia Commons" href="https://commons.wikimedia.org/wiki/File%3AHawaiian_Eruption-blank.svg"><img alt="Hawaiian Eruption-blank" src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/90/Hawaiian_Eruption-blank.svg/512px-Hawaiian_Eruption-blank.svg.png" width="400"></a> <br></p><p>In base alle diverse caratteristiche delle eruzioni si formano diversi tipi di edifici vulcanici. Eruzioni {1:MULTICHOICE:%0% esplosive #~%0% gassose #~%100% effusive } con lava basica formano vulcani {1:MULTICHOICE:%100% a scudo #~%0% lineari #~%0% peleani } dalla forma svasata e dai fianchi&nbsp; {1:MULTICHOICE:%0% molto ripidi #~%100% poco ripidi #~%0% frastagliati}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 149  -->
  <question type="cloze">
    <name>
      <text>Forme dei vulcani 2 3 punti (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<a title="Di Photograph by Angelo Heilprin (United States, 1853-1907). [Public domain], attraverso Wikimedia Commons" href="https://commons.wikimedia.org/wiki/File%3APelee_1902_5.jpg"><img alt="Pelee 1902 5" src="https://upload.wikimedia.org/wikipedia/commons/a/af/Pelee_1902_5.jpg" width="256"></a> 
<p><br></p><p>Nella foto si vede il vulcano La Pelee che ha dato il nome ai vulcani {1:MULTICHOICE:%100% peleani #~%0% a scudo #~%0% pelagi }, in cima al vulcano&nbsp; è visibile la&nbsp; {1:MULTICHOICE:%100% protusione solida #~%0% caldera #~%0% nube ardente } formatasi a causa&nbsp; {1:MULTICHOICE:%0% del solidificarsi della lava basica #~%100% della lenta risalita della lava acida #~%0% della rapida risalita di rocce dal mantello}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Stati della materia/Classificare passaggi di stato</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 27  -->
  <question type="ddimageortext">
    <name>
      <text>Passaggi di stato</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Metti il nome corretto sulla freccia che indica il passaggio di stato<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>Evaporazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Fusione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Solidificazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Condensazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>Sublimazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>452</xleft>
      <ytop>177</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>185</xleft>
      <ytop>341</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>181</xleft>
      <ytop>286</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>4</choice>
      <xleft>344</xleft>
      <ytop>216</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>5</choice>
      <xleft>205</xleft>
      <ytop>152</ytop>
    </drop>
  </question>

<!-- question: 28  -->
  <question type="ddimageortext">
    <name>
      <text>Passaggi di stato 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona il nome dello stato o del passaggio di stato mancante<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
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    <drag>
      <no>1</no>
      <text>Evaporazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Solido</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Solidificazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Gassoso</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>Sublimazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>6</no>
      <text>Liquido</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>441</xleft>
      <ytop>175</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>47</xleft>
      <ytop>311</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>177</xleft>
      <ytop>282</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>4</choice>
      <xleft>358</xleft>
      <ytop>62</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>5</choice>
      <xleft>193</xleft>
      <ytop>164</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>6</choice>
      <xleft>353</xleft>
      <ytop>317</ytop>
    </drop>
  </question>

<!-- question: 29  -->
  <question type="ddimageortext">
    <name>
      <text>Passaggi di stato 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona il nome dello stato o del passaggio di stato mancante<br></p>]]></text>
    </questiontext>
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    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <shownumcorrect/>
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    <drag>
      <no>1</no>
      <text>Evaporazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Solido</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Fusione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Gassoso</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>Sublimazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>6</no>
      <text>Liquido</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>441</xleft>
      <ytop>175</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>47</xleft>
      <ytop>311</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>169</xleft>
      <ytop>334</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>4</choice>
      <xleft>358</xleft>
      <ytop>62</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>5</choice>
      <xleft>193</xleft>
      <ytop>164</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>6</choice>
      <xleft>353</xleft>
      <ytop>317</ytop>
    </drop>
  </question>

<!-- question: 30  -->
  <question type="ddimageortext">
    <name>
      <text>Passaggi di stato 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona il nome dello stato o del passaggio di stato mancante<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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    <drag>
      <no>1</no>
      <text>Condensazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Solido</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Fusione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Gassoso</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>Solidificazione</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>6</no>
      <text>Liquido</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>352</xleft>
      <ytop>227</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>47</xleft>
      <ytop>311</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>169</xleft>
      <ytop>334</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>4</choice>
      <xleft>358</xleft>
      <ytop>62</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>5</choice>
      <xleft>186</xleft>
      <ytop>282</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>6</choice>
      <xleft>353</xleft>
      <ytop>317</ytop>
    </drop>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Fenomeni endogeni della terra/Tettonica a placche 2 punti</text>
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      <text></text>
    </info>
  </question>

<!-- question: 31  -->
  <question type="ddimageortext">
    <name>
      <text>Posiziona dorsali e placche 2 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le etichette <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="Volcano Map_600x273.png" 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</file>

    <drag>
      <no>1</no>
      <text>dorsale</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>fossa</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>271</xleft>
      <ytop>156</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>169</xleft>
      <ytop>177</ytop>
    </drop>
  </question>

<!-- question: 97  -->
  <question type="cloze">
    <name>
      <text>Cosa sono le dorsali? 2 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;">Le dorsali mediooceaniche sono</span><b><span style="font-weight:normal;"><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"> </span></span></b>{1:MULTICHOICE:%100% catene montuose #~%0% piattaforme #~%0%spaccature} che si snodano . {1:MULTICHOICE:%0% sulle coste dei continenti.#~%100% sui fondali degli oceani.#~%0% sulle rive dei mari.}<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 142  -->
  <question type="cloze">
    <name>
      <text>Faglie, fosse e dorsali 2 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<a title="Di Luis María Benítez, Translated: Jörg Schwerdtfeger [GFDL (http://www.gnu.org/copyleft/fdl.html) o CC-BY-SA-3.0 (http://creativecommons.org/licenses/by-sa/3.0/)], attraverso Wikimedia Commons" href="https://commons.wikimedia.org/wiki/File%3ASubduktionszone.png"><img alt="Subduktionszone" src="https://upload.wikimedia.org/wikipedia/commons/d/dd/Subduktionszone.png" width="256"></a><br>Nell'immagine è visibile la placca oceanica {1:MULTICHOICE:%0% più leggera #~%0% più fredda #~%100% più pesante} che si incunea sotto la crosta continentale, si genera così una {1:MULTICHOICE:%0% dorsale #~%100% fossa #~%0% faglia}.<br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Forze - Dinamica/Calcoli con le forze</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 32  -->
  <question type="ddmarker">
    <name>
      <text>Calcolo con le forze</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le due forze Fr (vettore rossa) e Fb (vettore blu) in alto nel disegno vengono sommate. Posiziona il mirino (cerchietto) sul vettore risultante dalla loro somma scegliendolo tra i tre in basso.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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    <drag>
      <no>3</no>
      <text>Risultante = Fr + Fb</text>
      <infinite/>
      <noofdrags>1</noofdrags>
    </drag>
    <drop>
      <no>3</no>
      <shape>rectangle</shape>
      <coords>65,240;420,50</coords>
      <choice>3</choice>
    </drop>
  </question>

<!-- question: 33  -->
  <question type="ddmarker">
    <name>
      <text>Calcolo con le forze 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Dalla forza Fb (vettore blu) viene sottratta la forza Fr (vettore rosso). Posiziona il mirino (cerchietto) delle etichetta sul vettore risultante della loro differenza.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="VettoriDifferenzaForze_600x400.jpg" 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    <drag>
      <no>3</no>
      <text>Risultante = Fb - Fr</text>
      <infinite/>
      <noofdrags>1</noofdrags>
    </drag>
    <drop>
      <no>3</no>
      <shape>rectangle</shape>
      <coords>70,160;230,50</coords>
      <choice>3</choice>
    </drop>
  </question>

<!-- question: 34  -->
  <question type="ddmarker">
    <name>
      <text>Calcolo con le forze 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I venti (le forze Fr (vettore rosso) ed Fb (vettore blu) ) spingono sommandosi la nave dei pirati. In quale direzione? <br></p><p>Posiziona il mirino (cerchietto) delle etichette sul vettore risultante della loro somma direzione in cui la nave si muove<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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    <drag>
      <no>3</no>
      <text>Risultante = Fr + Fb</text>
      <infinite/>
      <noofdrags>1</noofdrags>
    </drag>
    <drop>
      <no>3</no>
      <shape>polygon</shape>
      <coords>190,260;220,235;425,295;380,335</coords>
      <choice>3</choice>
    </drop>
  </question>

<!-- question: 256  -->
  <question type="multichoice">
    <name>
      <text>Calcoli forze 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è la Risultante della somma dei due vettori nell'immagine<br></p><p><img src="https://upload.wikimedia.org/wikipedia/commons/4/46/Vettori_opposti.png" alt="vettori opposti" class="img-responsive atto_image_button_text-bottom" width="445" height="67"></p><p><br></p>]]></text>
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      <text>Risposta corretta.</text>
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    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>R = 0 (nessuna forza)<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>R = una forza in direzione F1<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>R non si può calcolare<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 968  -->
  <question type="truefalse">
    <name>
      <text>Definizione di forza</text>
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    <questiontext format="html">
      <text><![CDATA[<p>La forza è la causa dell'accelerazione.<br></p>]]></text>
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      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
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      <text>true</text>
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      <text>false</text>
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        <text></text>
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<!-- question: 969  -->
  <question type="truefalse">
    <name>
      <text>Definizione di forza 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un corpo si muove di moto rettilineo uniforme solo se sottoposto ad una forza.<br></p>]]></text>
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      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
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<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Posizionare numeri decimali sulla retta dei numeri</text>
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      <text></text>
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<!-- question: 35  -->
  <question type="ddmarker">
    <name>
      <text>Posizione centesimi su decimi 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posizione il numero sulla retta dei numeri</p><p>(scegli il numero clikka e tenendo premuto mettilo sulla retta usando il "mirino")<br></p>]]></text>
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      <text>Risposta corretta.</text>
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    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>0,25</text>
      <infinite/>
      <noofdrags>1</noofdrags>
    </drag>
    <drag>
      <no>2</no>
      <text>0,47</text>
      <infinite/>
      <noofdrags>1</noofdrags>
    </drag>
    <drop>
      <no>1</no>
      <shape>circle</shape>
      <coords>165, 45; 10</coords>
      <choice>1</choice>
    </drop>
    <drop>
      <no>2</no>
      <shape>circle</shape>
      <coords>285, 45; 10</coords>
      <choice>2</choice>
    </drop>
  </question>

<!-- question: 36  -->
  <question type="ddmarker">
    <name>
      <text>Posizione centesimi su decimi 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posizione il numero sulla retta dei numeri</p><p>(scegli il numero clikka e tenendo premuto mettilo sulla retta usando il "mirino")<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers/>
    <showmisplaced/>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>0,17</text>
      <infinite/>
      <noofdrags>1</noofdrags>
    </drag>
    <drag>
      <no>2</no>
      <text>0,35</text>
      <infinite/>
      <noofdrags>1</noofdrags>
    </drag>
    <drop>
      <no>1</no>
      <shape>circle</shape>
      <coords>120, 45; 10</coords>
      <choice>1</choice>
    </drop>
    <drop>
      <no>2</no>
      <shape>circle</shape>
      <coords>220, 45; 10</coords>
      <choice>2</choice>
    </drop>
  </question>

<!-- question: 37  -->
  <question type="ddwtos">
    <name>
      <text>Inserire centesimi tra decimi 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Inserisci i numeri nella disequazione corretta:</p><p>2,3 &lt; [[1]] &lt; 2,7 <br></p><p>0,11 &lt; [[2]] &lt; 7,92<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <dragbox>
      <text>2,47</text>
      <group>1</group>
    </dragbox>
    <dragbox>
      <text>5,01</text>
      <group>1</group>
    </dragbox>
  </question>

<!-- question: 38  -->
  <question type="ddwtos">
    <name>
      <text>Inserire decimali 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Inserisci i numeri nella disequazione corretta:</p><p>1,3 &lt; [[1]] &lt; 2,7 <br></p><p>0,11 &lt; [[2]] &lt; 1,92<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <dragbox>
      <text>2,2</text>
      <group>1</group>
    </dragbox>
    <dragbox>
      <text>1,01</text>
      <group>1</group>
    </dragbox>
  </question>

<!-- question: 429  -->
  <question type="multichoice">
    <name>
      <text>Numeri sulla retta dei numeri tra 1 e 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/PuntiSuRettaNumeriTra1e2.png" alt="tre punti sulla retta dei numeri" width="491" height="43" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il punto A corrisponde a 1,3</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto B corrisponde a 1,3</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto C corrisponde a 1,7</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 430  -->
  <question type="multichoice">
    <name>
      <text>Numeri sulla retta dei numeri tra 1 e 2 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/PuntiSuRettaNumeriTra1e2.png" alt="tre punti sulla retta dei numeri" width="491" height="43" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
<file name="PuntiSuRettaNumeriTra1e2.png" path="/" encoding="base64">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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il punto B corrisponde a 1,5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto A corrisponde a 1,5</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto C corrisponde a 1,7</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 349063  -->
  <question type="multichoice">
    <name>
      <text>Numeri sulla retta dei numeri tra 1 e 2 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/PuntiSuRettaNumeriTra1e2.png" alt="tre punti sulla retta dei numeri" width="491" height="43" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
<file name="PuntiSuRettaNumeriTra1e2.png" path="/" encoding="base64">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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il punto C corrisponde a 1,8</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto A corrisponde a 1,5</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto B corrisponde a 1,7</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Muscoli e tessuto muscolare</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Muscoli e tessuto muscolare/CLOZE-Muscoli e tessuto muscolare</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 40  -->
  <question type="gapselect">
    <name>
      <text>Chimica del movimento</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Per produrre movimento i muscoli possono avvalersi di due tipi di reazioni chimiche. Completa le reazione di: <br></p><p>[[1]]: glucosio + [[3]] = anidride carbonica + acqua + [[4]]</p><p>[[2]]: glucosio = [[5]] + energia<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>0</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>respirazione cellulare</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>respirazione anaerobica</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>ossigeno</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>energia</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>acido lattico</text>
      <group>2</group>
    </selectoption>
  </question>

<!-- question: 43  -->
  <question type="gapselect">
    <name>
      <text>Contrazione dei muscoli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La contrazione e il rilassamento dei muscoli avvengono poichè i filamenti di [[1]] e [[2]] possono scorrere gli uni rispetto agli altri.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>actina</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>miosina</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>pectina</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>glucina</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>vaselina</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>morfina</text>
      <group>2</group>
    </selectoption>
  </question>

<!-- question: 44  -->
  <question type="gapselect">
    <name>
      <text>Costitutuzione del sistema muscolare</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il sistema muscolare è costituito dai [[1]] che se connessi alle [[4]] sono detti [[5]], e generano i movimenti. Altri muscoli, in gran parte involontari, non connessi alle [[4]] sono detti [[6]]. <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>muscoli</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>arti</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>organi</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>ossa</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>scheletrici</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>viscerali</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>minerali</text>
      <group>2</group>
    </selectoption>
  </question>

<!-- question: 46  -->
  <question type="gapselect">
    <name>
      <text>Fibre muscolari</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il tessuto muscolare striato è composto da fasci di [[1]], nelle cellule delle quali sono presenti le [[2]], a loro volta costituite da due tipi di filamenti [[3]] e [[4]].<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>fibre</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>miofibrille</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>actina</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>miosina</text>
      <group>2</group>
    </selectoption>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Apparato circolatorio</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Apparato circolatorio/Circolazione</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 41  -->
  <question type="gapselect">
    <name>
      <text>Ciclo cardiaco termini scientifici</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il cuore battendo alterna una contrazione: [[1]], ad una dilatazione: [[2]], questo movimento in due fasi è detto [[3]].</p><p><img src="@@PLUGINFILE@@/Fases%20del%20ciclo%20card%C3%ADaco.jpg" alt="ciclo cardiaco" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" height="102" width="253"><br></p>]]></text>
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    </questiontext>
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      <text></text>
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    <idnumber></idnumber>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>sistole</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>diastole</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>ciclo cardiaco</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>colpo di fulmine</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>aritmia</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>tachicardia</text>
      <group>1</group>
    </selectoption>
  </question>

<!-- question: 1037  -->
  <question type="truefalse">
    <name>
      <text>Piccola circolazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La piccola circolazione avviene sul percorso cuore-polmoni-cuore<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1038  -->
  <question type="truefalse">
    <name>
      <text>Piccola circolazione?</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La piccola circolazione avviene tra sul percorso cuore-cervello-cuore<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
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      <text>true</text>
      <feedback format="html">
        <text></text>
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    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1052  -->
  <question type="truefalse">
    <name>
      <text>Sangue venoso</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il sangue venoso si muove dai tessuti verso il cuore <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Scheletro e ossa</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Scheletro e ossa/CLOZE-Scheletro e ossa</text>
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    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 42  -->
  <question type="gapselect">
    <name>
      <text>Colonna vertebrale</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La colonna vertebrale svolge funzione di [[1]], ma deve anche permettere [[4]] e [[7]], per ottenere questo effetto le [[10]] sono collegate per mezzo di [[11]].<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
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    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
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    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <selectoption>
      <text>sostegno</text>
      <group>1</group>
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      <group>1</group>
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      <text>rotazioni</text>
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    <selectoption>
      <text>elevazioni</text>
      <group>3</group>
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    <selectoption>
      <text>forti compressioni</text>
      <group>3</group>
    </selectoption>
    <selectoption>
      <text>vertebre</text>
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      <text>dischi cartilaginei</text>
      <group>4</group>
    </selectoption>
    <selectoption>
      <text>ossa</text>
      <group>4</group>
    </selectoption>
  </question>

<!-- question: 48  -->
  <question type="gapselect">
    <name>
      <text>Ossa e movimento</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il movimento nelle articolazioni deve essere ampio. Le estremità delle [[1]] hanno forme tali che permettono di scorrere le une sulle altre.&nbsp; I [[4]] tengono insieme le giunture che sono avvolte nella [[7]].<br></p>]]></text>
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      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
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      <text>Risposta corretta.</text>
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    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <shownumcorrect/>
    <selectoption>
      <text>ossa</text>
      <group>1</group>
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    <selectoption>
      <text>giunture</text>
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    <selectoption>
      <text>legamenti</text>
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    <selectoption>
      <text>dischi cartilaginei</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>filamenti</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>capsula articolare</text>
      <group>3</group>
    </selectoption>
    <selectoption>
      <text>colonna vertebrale</text>
      <group>3</group>
    </selectoption>
    <selectoption>
      <text>vertebra</text>
      <group>3</group>
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  </question>

<!-- question: 51  -->
  <question type="gapselect">
    <name>
      <text>Scheletro</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Lo scheletro [[1]] può essere considerato come un sistema di organi - le[[2]] - che, con [[3]] e [[4]], collaborano per realizzare le funzioni di [[5]], [[6]] e [[7]]<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
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    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <shownumcorrect/>
    <selectoption>
      <text>osseo</text>
      <group>1</group>
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    <selectoption>
      <text>cartilagini</text>
      <group>3</group>
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    <selectoption>
      <text>legamenti</text>
      <group>1</group>
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    <selectoption>
      <text>movimento</text>
      <group>3</group>
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    <selectoption>
      <text>sostegno</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>protezione</text>
      <group>1</group>
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<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sistema escretore</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sistema escretore/Urina</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 45  -->
  <question type="gapselect">
    <name>
      <text>Espulsione dell'urina</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'urina formatasi [[1]] passa [[2]] per raccogliersi [[3]] da dove viene espulsa all'esterno attraverso [[4]]<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <shownumcorrect/>
    <selectoption>
      <text>nei reni</text>
      <group>1</group>
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      <text>negli ureteri</text>
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    <selectoption>
      <text>nella vescica</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>l'uretra</text>
      <group>1</group>
    </selectoption>
  </question>

<!-- question: 189  -->
  <question type="multichoice">
    <name>
      <text>Acqua nell'urina</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'urina è composta da una percentuale di acqua pari a ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>96%<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>56%<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>36%<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Apparato circolatorio/Sangue</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 47  -->
  <question type="gapselect">
    <name>
      <text>Globuli bianchi nome scientifico</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I globuli bianchi sono detti [[1]] mentre i globuli rossi si chiamano [[2]]. Entrambi sono prodotti dal midollo [[4]].<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>1</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>leucociti</text>
      <group>1</group>
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    <selectoption>
      <text>eritrociti</text>
      <group>1</group>
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    <selectoption>
      <text>gasteropodi</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>osseo</text>
      <group>2</group>
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    <selectoption>
      <text>spinale</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>in umido</text>
      <group>2</group>
    </selectoption>
  </question>

<!-- question: 49  -->
  <question type="gapselect">
    <name>
      <text>Plasma scarto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il plasma trasporta le sostanze di scarto: [[1]] e [[2]]. (In ordine alfabetico)<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>0</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <selectoption>
      <text>anidride carbonica</text>
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      <text>urea</text>
      <group>1</group>
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    <selectoption>
      <text>fibrinogeno</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>ferro</text>
      <group>1</group>
    </selectoption>
  </question>

<!-- question: 980  -->
  <question type="truefalse">
    <name>
      <text>Funzioni del sangue</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le funzioni del sangue possono essere riassunte in una sola parola: trasporto.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
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    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 982  -->
  <question type="truefalse">
    <name>
      <text>Globuli bianchi 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I globuli bianchi si occupano del trasporto dell'ossigeno nel corpo.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
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    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
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    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
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    </answer>
  </question>

<!-- question: 983  -->
  <question type="truefalse">
    <name>
      <text>Globuli bianchi 02</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I globuli bianchi svolgono funzioni di difesa per l'organismo umano.<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 984  -->
  <question type="truefalse">
    <name>
      <text>Globuli rossi 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I globuli rossi trasportano l'ossigeno nelle parti del corpo.<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 985  -->
  <question type="truefalse">
    <name>
      <text>Globuli rossi 02</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I globuli rossi sono cellule prive di nucleo.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 986  -->
  <question type="truefalse">
    <name>
      <text>Globuli rossi 03</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I globuli rossi fanno parte del sistema immunitario e svolgono un ruolo di difesa dalle infezioni.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 987  -->
  <question type="truefalse">
    <name>
      <text>Globuli rossi emoglobina</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'emoglobina è una proteina che lega con l'ossigeno permettendone il trasporto.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1035  -->
  <question type="truefalse">
    <name>
      <text>Piastrine 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le piastrine sono indispensabili per la circolazione del sangue.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1036  -->
  <question type="truefalse">
    <name>
      <text>Piastrine 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le piastrine sono indispensabili per la coagulazione del sangue.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1039  -->
  <question type="truefalse">
    <name>
      <text>Plasma trasporto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il plasma trasporta il nutrimento per il corpo.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sistema escretore/Apparato escretore</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 50  -->
  <question type="gapselect">
    <name>
      <text>Reni e circolazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Nei reni il sangue arriva attraverso le [[1]] e viene poi raccolto dalle [[2]].<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>0</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>arterie renali</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>vene renali</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>ureteri</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>emoglobine</text>
      <group>1</group>
    </selectoption>
  </question>

<!-- question: 461  -->
  <question type="multichoice">
    <name>
      <text>Organi del sistema escretore</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali sono gli organi più importanti del sistema escretore?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>I reni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>I polmoni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Gli ureteri<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1050  -->
  <question type="truefalse">
    <name>
      <text>Sangue e reni</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Nei reni il sangue si depura e si forma l'urina.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1051  -->
  <question type="truefalse">
    <name>
      <text>Sangue e reni 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Nei reni il sangue si trasforma in urina e viene inviato verso l'eliminazione.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Muscoli e tessuto muscolare/CORRISPONDENZE - Muscoli e tessuto muscolare</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 52  -->
  <question type="matching">
    <name>
      <text>Articolazione braccio avambraccio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Fai corrispondere le parti della leva agli elementi anatomici e del movimento<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Muscolo<br></p>]]></text>
      <answer>
        <text>Potenza</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Peso sollevato<br></p>]]></text>
      <answer>
        <text>Resistenza</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Gomito<br></p>]]></text>
      <answer>
        <text>Fulcro</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 60  -->
  <question type="matching">
    <name>
      <text>Leva teschio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Fai corrispondere le parti della leva agli elementi anatomici e del movimento<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Testa<br></p>]]></text>
      <answer>
        <text>Resistenza</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Prima vertebra (atlante)<br></p>]]></text>
      <answer>
        <text>Fulcro</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Muscoli del collo<br></p>]]></text>
      <answer>
        <text>Potenza</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 61  -->
  <question type="matching">
    <name>
      <text>Movimenti e fulcro</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Fai corrispondere ai diversi movimenti schematizzati come leve il tipo di leva vantaggiosa o svantaggiosa.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Braccio - avambraccio fulcro gomito<br></p>]]></text>
      <answer>
        <text>3° genere svantaggiosa, la potenza e vicina al fulcro</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Gamba - piede, fulcro punta del piede<br></p>]]></text>
      <answer>
        <text>2° genere, vantaggiosa potenza sempre più lontana dal fulcro rispetto alla resistenza</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Cranio - colonna vertebrale, fulcro prima vertebra<br></p>]]></text>
      <answer>
        <text>1° genere, ma svantaggiosa il braccio potenza è corto rispetto a quello della resistenza</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 62  -->
  <question type="matching">
    <name>
      <text>Movimento ed energia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è il combustibile del muscolo?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Durante il movimento normale l'energia necessaria vien prodotta dalla ...<br></p>]]></text>
      <answer>
        <text>Respirazione cellulare che necessita dell'ossigeno</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Durante uno sforzo intenso può avvenire la ...<br></p>]]></text>
      <answer>
        <text>Respirazione anaerobica che produce anche acido lattico</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Il movimento viene prodotto dai muscoli attraverso la ...<br></p>]]></text>
      <answer>
        <text>Trasformazione del glucosio in energia</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 63  -->
  <question type="matching">
    <name>
      <text>Movimento gamba piede</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Fai corrispondere le parti della leva agli elementi anatomici e di movimento.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Peso del corpo<br></p>]]></text>
      <answer>
        <text>Resistenza</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Muscolo del polpaccio<br></p>]]></text>
      <answer>
        <text>Potenza</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Punta del piede<br></p>]]></text>
      <answer>
        <text>Fulcro</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Potenze/Potenze nei naturali/Notazione standard</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 53  -->
  <question type="matching">
    <name>
      <text>CORR-Notazione standard distanze sistema solare</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Approssimando fai corrispondere le distanze dei pianeti alla corretta notazione standard<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>1,5 · 10<sup>8</sup> km<br></p>]]></text>
      <answer>
        <text>Sole - Terra 149,6 milioni di kilometri</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>7,8 · 10<sup>8</sup> km<br></p>]]></text>
      <answer>
        <text>Sole - Giove 778,4 milioni di kilometri</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>2,9 · 10<sup>9</sup> km<br></p>]]></text>
      <answer>
        <text>Sole - Urano 2870 milioni di kilometri</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 707  -->
  <question type="multichoice">
    <name>
      <text>RM-Notazione standard distanze sistema solare</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La distanza di Mercurio dal Sole è di 57,91 milioni di kilometri che approssimando in notazione standard corrispondono a <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>5,8 · 10<sup>7</sup> km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5,8 · 10<sup>6</sup> km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>58 · 10<sup>7</sup> km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 708  -->
  <question type="multichoice">
    <name>
      <text>RM-Notazione standard distanze sistema solare (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La distanza di Venere dal Sole è di 108 milioni di kilometri che approssimando in notazione standard corrispondono a <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1,1 · 10<sup>8</sup> km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1,1 · 10<sup>6</sup> km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>11 · 10<sup>8</sup> km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 732  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze 10 notazione standard 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In notazione standard 518000 = <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>5,18 · 10<sup>5</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5,18 · 10<sup>3</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>518 · 10<sup>5</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 733  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze 10 notazione standard 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In notazione standard 28.000.000 = <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>2,8 · 10<sup>7</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>28 · 10<sup>7</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,28 · 10<sup>7</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 734  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze 10 notazione standard a parole</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>62 miliardi in notazione standard si scrive<br></p><p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>6,2 · 10<sup>10</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6,2 · 10<sup>9</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6,2 · 10<sup>6</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 735  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze 10 notazione standard a parole 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>7 milioni e 300 mila in notazione standard si scrive<br></p><p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>7,3 · 10<sup>6</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>7,3 · 10<sup>5</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>7,3 · 10<sup>7</sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 752  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze da notazione standard al valore 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>4,3 · 10<sup>6</sup> = <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>4.300.000<sup></sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>43.000.000</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>436</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 753  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze da notazione standard al valore 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>8,2 · 10<sup>4</sup> = <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>82.000<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>8.200</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>820.000</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 754  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze da notazione standard al valore parola 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>9,1 · 10<sup>6</sup> = <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>9 milioni e 100 mila<sup></sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[91 milioni<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[910 milioni<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 755  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze da notazione standard al valore parola 1 (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>4,7 · 10<sup>10</sup><sup></sup> = <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>47 miliardi<sup></sup><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[470 miliardi<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[4 miliardi e 700 milioni<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Potenze/Potenze nei naturali/Potenze del 2</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 54  -->
  <question type="matching">
    <name>
      <text>CORR-Potenze del 2 grandi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Assegna ad ogni potenza il suo valore<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^8 = $$<br></p>]]></text>
      <answer>
        <text>256</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^9 = $$<br></p>]]></text>
      <answer>
        <text>512</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^{10}= $$<br></p>]]></text>
      <answer>
        <text>1024</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 55  -->
  <question type="matching">
    <name>
      <text>CORR-Potenze del 2 medie</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Assegna ad ogni potenza il suo valore<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^5 = $$<br></p>]]></text>
      <answer>
        <text>32</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^6 = $$<br></p>]]></text>
      <answer>
        <text>64</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^7 = $$<br></p>]]></text>
      <answer>
        <text>128</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 56  -->
  <question type="matching">
    <name>
      <text>CORR-Potenze del 2 piccole</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Assegna ad ogni potenza il suo valore<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^3 = $$<br></p>]]></text>
      <answer>
        <text>8</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^5 = $$<br></p>]]></text>
      <answer>
        <text>32</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>$$ 2^4 = $$<br></p>]]></text>
      <answer>
        <text>16</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 736  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze 2^3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$&nbsp; 2^3 = $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>8<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>4<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 737  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze 2^5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$&nbsp; 2^5 = $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>32<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>7<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 738  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze 2^{10}</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{10} = $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1024<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>20<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>12<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 759  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze stima 2^{10}</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>2<sup>10</sup> vale circa <br><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{10}≈ 1000 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{10}≈ 20 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{10}≈&nbsp; \ un \ milione $$ <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 760  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze stima 2^{20}</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>2<sup>20</sup> vale circa <br><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{20}≈ 1000 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{20}≈ 20 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{20}≈&nbsp; \ un \ milione $$ <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 761  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze stima parola 2^{10}</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>2<sup>10</sup> vale circa <br><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{10}≈ mille $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{10}≈ venti $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{10}≈&nbsp; 1.000.000 $$ <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 762  -->
  <question type="multichoice">
    <name>
      <text>RM-Potenze stima parola 2^{20} (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>2<sup>20</sup> vale circa <br><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{20}≈ mille $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{20}≈ 40 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$&nbsp; 2^{20}≈&nbsp; un \&nbsp; milione$$ <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Metodo scientifico</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 57  -->
  <question type="matching">
    <name>
      <text>Definizione del metodo scientifico</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali sono le fasi del metodo scientifico <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>In presenza di un fenomeno si cerca di raccogliere più dati significativi possibili <br></p>]]></text>
      <answer>
        <text>Osservazione</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Dai dati raccolti si ricava una prima possibilità<br></p>]]></text>
      <answer>
        <text>Formulare un'ipotesi</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Si prova a verificare o falsificare la teoria.<br></p>]]></text>
      <answer>
        <text>Eseguire esperimenti.</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Alla fine si definisce una teoria<br></p>]]></text>
      <answer>
        <text>Conclusioni</text>
      </answer>
    </subquestion>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 59  -->
  <question type="matching">
    <name>
      <text>Fasi del metodo scientifico</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Rispondi scegliendo la fase del metodo scientifico corretta<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>false</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Osservare un <br></p>]]></text>
      <answer>
        <text>fenomeno</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Formulare una <br></p>]]></text>
      <answer>
        <text>ipotesi</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Eseguire <br></p>]]></text>
      <answer>
        <text>esperimenti</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Definire una <br></p>]]></text>
      <answer>
        <text>teoria</text>
      </answer>
    </subquestion>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 278  -->
  <question type="multichoice">
    <name>
      <text>Come fare un esperimento 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le grandezze che vengono considerate durante un esperimento scientifico devono essere...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Misurate<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Lucidate<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Rimpicciolite<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349021  -->
  <question type="multichoice">
    <name>
      <text>Come fare un esperimento 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Per rendere chiari gli esperimenti occorre ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>misurare con gli strumenti opportuni le grandezze in gioco<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>esprimere in modo chiaro e corretto le proprie opinioni in materia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>presenziare in più persone allo svolgimento delle attività<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 283  -->
  <question type="multichoice">
    <name>
      <text>Comunicare la scienza</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Un esperimento scientifico si comunica alla comunità scientifica e a tutti gli interessati attraverso una.....<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Relazione scientifica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Lettera di presentazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Mappa cognitiva<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211285  -->
  <question type="multichoice">
    <name>
      <text>Comunicare la scienza 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Una volta conclusa la fase sperimentale la teoria... <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>va comunicata ad altri scienziati per una prima verifica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>diffusa e pubblicizzata gli eventuali errori sono trascurabili <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>resa segreta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211281  -->
  <question type="multichoice">
    <name>
      <text>Fasi del metodo scientifico 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La prima fase del metodo sperimentale è quella...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>dell'osservazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>delle'esperimento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>delle conclusioni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 211282  -->
  <question type="multichoice">
    <name>
      <text>Fasi del metodo scientifico 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Prima di procedere a degli esperimenti si devono...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>formulare delle ipotesi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>trarre delle conclusioni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[confermare le teorie<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 211283  -->
  <question type="multichoice">
    <name>
      <text>Fasi del metodo scientifico 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Dalle ipotesi si può passare ad una vera e propria teoria solo dopo...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>la conferma sperimentale<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>aver tratto delle conclusioni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[un dibattito accurato<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349024  -->
  <question type="multichoice">
    <name>
      <text>Fasi del metodo scientifico 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/8/8f/After_Justus_Suttermans_-_Portrait_of_Galileo_Galilei_-_1800-1900.jpg/832px-After_Justus_Suttermans_-_Portrait_of_Galileo_Galilei_-_1800-1900.jpg" alt="galileo" class="img-responsive atto_image_button_text-bottom" width="150" height="184"><br></p><p>Per seguire un metodo scientifico, dopo aver svolto accurate osservazioni ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>si formula una ipotesi che deve essere confermata dagli&nbsp; esperimenti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>si traggono delle conclusioni e le si pubblica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[si apre un dibattito per arrivare a delle conclusioni<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 383  -->
  <question type="multichoice">
    <name>
      <text>Inventore del metodo scientifico</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il metodo scientifico è una idea maturata grazie al contributo di molti studiosi. Tenuto conto dell'affermazione precedente possiamo considerare quale inventore del metodo scientifico<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Galielo Galilei<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Aristotele<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Ronaldo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 211284  -->
  <question type="multichoice">
    <name>
      <text>Inventore del metodo scientifico 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Galileo Galilei è ricordato per aver...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>inventato il metodo scientifico<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>aver scritto la Divina Commedia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>aver promosso le idee di Aristotele<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349027  -->
  <question type="multichoice">
    <name>
      <text>Scienze sperimentali</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Experiment_dels_primes_d%27Isaac_Newton_-_Refracci%C3%B3_de_la_llum.png/1024px-Experiment_dels_primes_d%27Isaac_Newton_-_Refracci%C3%B3_de_la_llum.png" alt="prisma di newton" class="img-responsive atto_image_button_text-bottom" width="150" height="1024"></p><p>La fisica si occupa ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>dei fenomeni fisici in cui entrano in gioco movimento, la forza e l'energia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei fenomeni della vita: botanica, le piante, zoologia, animali, anatomia umana, genetica, ecologia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei grandi fenomeni che riguardano la Terra, terremoti, vulcani, eruzioni, fenomeni geologici<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 349028  -->
  <question type="multichoice">
    <name>
      <text>Scienze sperimentali 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/5/5a/Oophaga_pumilio_tadpole.png" alt="rana" class="img-responsive atto_image_button_text-bottom" width="150" height="100"><br></p><p>La biologia si occupa ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei fenomeni fisici in cui entrano in gioco movimento, la forza e l'energia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>dei fenomeni della vita: botanica, le piante, zoologia, animali, anatomia umana, genetica, ecologia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei grandi fenomeni che riguardano la Terra, terremoti, vulcani, eruzioni, fenomeni geologici<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 349029  -->
  <question type="multichoice">
    <name>
      <text>Scienze sperimentali 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/1/12/Vulcano-132-Fumarolen-1986-gje.jpg/1024px-Vulcano-132-Fumarolen-1986-gje.jpg" alt="vulcano" class="img-responsive atto_image_button_text-bottom" width="150" height="99"><br></p><p>Le scienze della Terra si occupano ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei fenomeni fisici in cui entrano in gioco movimento, la forza e l'energia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei fenomeni della vita: botanica, le piante, zoologia, animali, anatomia umana, genetica, ecologia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>dei grandi fenomeni che riguardano la Terra, terremoti, vulcani, eruzioni, fenomeni geologici<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 349030  -->
  <question type="multichoice">
    <name>
      <text>Scienze sperimentali 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Praseodymium%2C_neodymium_and_thallium_salts_04_-_Museo_di_Chimica_Unige.jpg/1024px-Praseodymium%2C_neodymium_and_thallium_salts_04_-_Museo_di_Chimica_Unige.jpg" alt="chimica" class="img-responsive atto_image_button_text-bottom" width="150" height="112"><br></p><p>La chimica si occupa ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei fenomeni fisici in cui entrano in gioco movimento, la forza e l'energia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dello studio dei corpi celesti: moti dei pianeti, proprietà delle stelle<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>delle trasformazioni delle sostanze, come la fotosintesi o la combustione del gas nei fornelli<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 349031  -->
  <question type="multichoice">
    <name>
      <text>Scienze sperimentali 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/92/Milky_Way_Starry_sky_at_Nan%27ao.jpg/1024px-Milky_Way_Starry_sky_at_Nan%27ao.jpg" alt="via lattea" class="img-responsive atto_image_button_text-bottom" width="150" height="113"><br></p><p>L'astronomia si occupa ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei fenomeni fisici in cui entrano in gioco movimento, la forza e l'energia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>dello studio dei corpi celesti: moti dei pianeti, proprietà delle stelle<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>delle trasformazioni delle sostanze, come la fotosintesi o la combustione del gas nei fornelli<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 943  -->
  <question type="truefalse">
    <name>
      <text>Come procede la scienza</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Uno dei principale metodi di scoperta della scienza è quello per tentativi ed errori.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349025  -->
  <question type="truefalse">
    <name>
      <text>Come procede la scienza 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le verità scientifiche devono essere sostenute dai risultati degli esperimenti l'opinione della maggioranza non conta.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349026  -->
  <question type="truefalse">
    <name>
      <text>Come procede la scienza 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/b/b1/Blue_Bottle_Experiment_solution.jpg/1024px-Blue_Bottle_Experiment_solution.jpg" alt="esperimento scientifico" class="img-responsive atto_image_button_text-bottom" width="150" height="114"><br></p><p>Le verità scientifiche devono essere sostenute dall'opinione della maggioranza i risultati degli esperimenti contano molto meno.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349032  -->
  <question type="truefalse">
    <name>
      <text>Come procede la scienza 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/b/b1/Blue_Bottle_Experiment_solution.jpg/1024px-Blue_Bottle_Experiment_solution.jpg" alt="esperimento scientifico" class="img-responsive atto_image_button_text-bottom" width="150" height="114"><br></p><p>Uno scienziato deve tenere segreti i risultati dei suoi esperimenti e rivelare solo la propria teoria<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349033  -->
  <question type="truefalse">
    <name>
      <text>Come procede la scienza 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/b/b1/Blue_Bottle_Experiment_solution.jpg/1024px-Blue_Bottle_Experiment_solution.jpg" alt="esperimento scientifico" class="img-responsive atto_image_button_text-bottom" width="150" height="114"><br></p><p>Uno scienziato deve pubblicare i risultati dei suoi esperimenti in modo che possano essere verificati da altri<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 972  -->
  <question type="truefalse">
    <name>
      <text>Esperimento procedimento</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le fasi dell'esecuzione di un esperimento possono essere descritte in modo approssimativo e disordinato<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 1049  -->
  <question type="truefalse">
    <name>
      <text>Risultati di un esperimento</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Una teoria scientifica deve essere falsificabile, cioè deve affermare delle cose chiare che possono essere contraddette (falsificate) dai risultati di un esperimento. <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349022  -->
  <question type="truefalse">
    <name>
      <text>Risultati di un esperimento 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Al fine di rendere scientificamente vera una teoria basta che gli esperimenti proposti si verifichino anche solo una volta.<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349023  -->
  <question type="truefalse">
    <name>
      <text>Risultati di un esperimento 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Al fine di rendere scientificamente vera una teoria i risultati degli gli esperimenti proposti devono confermarla ogni volta che vengono eseguiti.<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349034  -->
  <question type="truefalse">
    <name>
      <text>Risultati di un esperimento 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Se i risultati di un solo esperimento, commesso senza errori, non confermano le ipotesi allora bisogna rivedere la teoria scientifica.<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349035  -->
  <question type="truefalse">
    <name>
      <text>Risultati di un esperimento 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Una teoria scientifica è valida fino a che soddisfa la maggioranza degli esperimenti che la riguardano .<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 349036  -->
  <question type="truefalse">
    <name>
      <text>Risultati di un esperimento 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Una teoria scientifica è valida fino a che confermata da tutti gli esperimenti che la riguardano .<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Misura/Densità e peso specifico</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 58  -->
  <question type="matching">
    <name>
      <text>Densità,  peso specifico e velocità</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Metti in corrispondeza le grandezze che definiscono la grandezza derivata.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Il peso specifico si trova dividendo il peso per il ...<br></p>]]></text>
      <answer>
        <text>volume</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>La densità di si trova dividendo la&nbsp; ... per il volume<br></p>]]></text>
      <answer>
        <text>massa</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>La velocità è il risultato della divisione della lunghezza per il ...<br></p>]]></text>
      <answer>
        <text>tempo</text>
      </answer>
    </subquestion>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 385  -->
  <question type="multichoice">
    <name>
      <text>La formula densità</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La formula della densità è<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$d=\frac{m}{V}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$d=\frac{m}{P}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$d=\frac{V}{m}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 386  -->
  <question type="multichoice">
    <name>
      <text>La formula peso specifico</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La formula del peso specifico è<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ps=\frac{P}{V}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ps=\frac{m}{P}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ps=\frac{V}{P}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 797  -->
  <question type="multichoice">
    <name>
      <text>Riconoscere la formula 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{m}{V}$$ è la formula del(la)<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Densità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Velocità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Peso specifico<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 798  -->
  <question type="multichoice">
    <name>
      <text>Riconoscere la formula 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{P}{V}$$ è la formula del(la)<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Densità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Velocità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Peso specifico<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 1090  -->
  <question type="truefalse">
    <name>
      <text>densità confronto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>A parità di volume la sostanza che ha densità maggiore pesa di più.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 1091  -->
  <question type="truefalse">
    <name>
      <text>peso specifico</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[A parità di peso la sostanza che ha peso specifico maggiore ha un volume più grande. <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 1033  -->
  <question type="truefalse">
    <name>
      <text>Peso specifico definizione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La formula del Peso Specifico è $$ P_s = \frac{V}{P}$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 1034  -->
  <question type="truefalse">
    <name>
      <text>Peso specifico definizione 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La formula del Peso Specifico è $$ P_s = \frac{P}{V}$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Scheletro e ossa/CORRISPONDENZE - Scheletro e ossa</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 64  -->
  <question type="matching">
    <name>
      <text>Ossificazione della cartilagine</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In cosa consiste il processo di ossificazione della cartilagine e il suo rapporto con le età dell'uomo.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Nel bambino la presenza di cartilagine nelle ossa è?<br></p>]]></text>
      <answer>
        <text>Abbondante e permette l'accrescimento.</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>In età adulta la cartilagine è presente?<br></p>]]></text>
      <answer>
        <text>Solo in alcune giunture con la funzione di migliorare il movimento.</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[In età avanzata la cartilagine?<br>]]></text>
      <answer>
        <text>La cartilagine si è completamente trasformata in osso, che a sua volta comincia a soffrire di fenomeni erosivi.</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 65  -->
  <question type="matching">
    <name>
      <text>Parti dello scheletro</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Funzioni delle diverseparti dello scheletro<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Le funzioni del cranio sono?<br></p>]]></text>
      <answer>
        <text>Protezione e movimento per la masticazione</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>La funzione della gabbia toracica sono? <br></p>]]></text>
      <answer>
        <text>Protezione e movimento per la respirazione</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>La funzione dglie&nbsp; arti è ?<br></p>]]></text>
      <answer>
        <text>Movimento</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 67  -->
  <question type="matching">
    <name>
      <text>Tipi di articolazioni</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Collega i diversi tipi alle corrispondenti articolazioni<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <subquestion format="html">
      <text><![CDATA[<p>Articolazione a troclea?<br></p>]]></text>
      <answer>
        <text>Gomito e ginocchio</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Articolazione a sfera?<br></p>]]></text>
      <answer>
        <text>Spalla e anca</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Articolazioni a perno?<br></p>]]></text>
      <answer>
        <text>Base della testa</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri naturali/Confronto e ordinamento nei naturali</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 66  -->
  <question type="matching">
    <name>
      <text>Simboli di confronto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Dai un nome ai simboli usati ne l confronto tra numeri</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="moodle_auto_format">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="moodle_auto_format">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="moodle_auto_format">
      <text></text>
    </incorrectfeedback>
    <subquestion format="html">
      <text><![CDATA[<p>Maggiore</p>]]></text>
      <answer>
        <text><![CDATA[>]]></text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Uguale</p>]]></text>
      <answer>
        <text>=</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Minore</p>]]></text>
      <answer>
        <text><![CDATA[&lt;]]></text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Diverso</p>]]></text>
      <answer>
        <text>≠</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 287  -->
  <question type="multichoice">
    <name>
      <text>Confronto numeri 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il numero 32.240.000 è ?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Compreso tra 32 milioni e 33 milioni</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Minore di 32 milioni</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Più vicino a 33 milioni che a 32 milioni</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 289  -->
  <question type="multichoice">
    <name>
      <text>Confronto numeri 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il numero 32.240.000 è ?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Compreso tra 32 milioni e 33 milioni</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Minore di 32 milioni</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Più vicino a 33 milioni che a 32 milioni</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 288  -->
  <question type="multichoice">
    <name>
      <text>Confronto numeri 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il numero 651.300 è ?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Più vicino a 651 mila che a 652 mila</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Minore di 651 mila</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Più vicino a 652 mila che a 651 mila</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 292  -->
  <question type="multichoice">
    <name>
      <text>Confronto senza simboli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è la disuguaglianza corretta?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1,207<1,21<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1,207>1,21<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1,207<1,201<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 293  -->
  <question type="multichoice">
    <name>
      <text>Confronto senza simboli 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è la disuguaglianza corretta?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,54>0,504<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,54<0,504<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,54<0,508<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 294  -->
  <question type="multichoice">
    <name>
      <text>Confronto senza simboli 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il numero 1,102 è ?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>minore di 1,12<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>minore di 1,101<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>uguale al numero 1,12<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 295  -->
  <question type="multichoice">
    <name>
      <text>Confronto senza simboli 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il numero 1,21 è ?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>maggiore di 1,20<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>minore di 1,201<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>uguale al numero 1,12<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 432  -->
  <question type="multichoice">
    <name>
      <text>Numeri sulla retta dei numeri tra 100 e 200</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/PuntiSuRettaNumeriTra100e200.png" alt="tre punti sulla retta dei numeri tra 100 e 200" width="521" height="51" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il punto C corrisponde a 180</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto A corrisponde a 150</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto B corrisponde a 170</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 433  -->
  <question type="multichoice">
    <name>
      <text>Numeri sulla retta dei numeri tra 100 e 200 (copia1)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/PuntiSuRettaNumeriTra100e200.png" alt="tre punti sulla retta dei numeri tra 100 e 200" width="521" height="51" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il punto A corrisponde a 130</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto C corrisponde a 150</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto B corrisponde a 170</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 434  -->
  <question type="multichoice">
    <name>
      <text>Numeri sulla retta dei numeri tra 100 e 200 (copia2)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/PuntiSuRettaNumeriTra100e200.png" alt="tre punti sulla retta dei numeri tra 100 e 200" width="521" height="51" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il punto B corrisponde a 150</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto C corrisponde a 150</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Il punto A corrisponde a 120</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Equazioni/Equazioni intere I e II principio 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 68  -->
  <question type="cloze">
    <name>
      <text>CL-Equazione intera I e II principio semplici 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti per risolvere l'equazione x - 1 =&nbsp; 3 - x<br></p><p>{1:MULTICHOICE:%100% x + x = 3 + 1 #~%0% x - x&nbsp; = -1 + 3 #~%0% x + x = 3 - 1}</p><p>{1:MULTICHOICE:%100% 2x&nbsp; =&nbsp; 4 #~%0% 0 = 2 #~%0% 2x&nbsp; = 2}<i><br></i></p><p>{1:MULTICHOICE:%0% x&nbsp; =&nbsp; 4 #~%100% x = 2 #~%0% x&nbsp; = 1}<i><i><br></i><br></i></p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 72  -->
  <question type="cloze">
    <name>
      <text>CL-Equazione intera I e II principio semplici 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti per risolvere l'equazione 2x - 1 =&nbsp; 5 - x<br></p><p>{1:MULTICHOICE:%0% 2x + x = 5 - 1 #~%100% 2x + x&nbsp; = 5 + 1 #~%0% 2x - x = 5 + 1}</p><p>{1:MULTICHOICE:%0% 3x&nbsp; =&nbsp; 4 #~%0% x = 6 #~%100% 3x&nbsp; = 6}<i><br></i></p><p>{1:MULTICHOICE:%0% x&nbsp; =&nbsp; 4/3&nbsp; #~%0% x = 6 #~%100% x&nbsp; = 2}<i><i><br></i><br></i></p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 76  -->
  <question type="cloze">
    <name>
      <text>CL-Equazione intera I e II principio semplici 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti per risolvere l'equazione 4 - (2x - 1) =&nbsp; 5 - 3x<br></p><p>{1:MULTICHOICE:%100% 3x - 2x + 4 + 1 = 5&nbsp; #~%0%&nbsp; -2x - 3x + 4 -1 = 5&nbsp; #~%0% 2x - 3x = 5 - 4}</p><p>{1:MULTICHOICE:%0% -5x&nbsp; =&nbsp; 2 #~%0% -x = 1 #~%100% x&nbsp; = 5 - 5}<i><br></i></p><p>{1:MULTICHOICE:%100% x&nbsp; =&nbsp; 0&nbsp; #~%0% x = 10 #~%0% x&nbsp; = 1}<i><i><br></i><br></i></p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Equazioni/Equazioni intere primo principio equivalenza semplici 2 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 80  -->
  <question type="cloze">
    <name>
      <text>CL-Equazione intera primo principio 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti per risolvere l'equazione 2x - 1 = x + 1</p><p>{1:MULTICHOICE:%0% 2x - x = -1 + 1 #~%0% 2x + x = 1 + 1 #~%100% 2x - x = 1 + 1}</p><p>{1:MULTICHOICE:%0% 2x&nbsp; =&nbsp; x #~%100% x = 2 #~%100% 3x&nbsp; = 1}<i><br></i></p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 83  -->
  <question type="cloze">
    <name>
      <text>CL-Equazione intera primo principio 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti per risolvere l'equazione 3x + 1 = 2x + 1</p><p>{1:MULTICHOICE:%100% 3x - 2x = -1 + 1 #~%0% 3x + 2x&nbsp; = -1 + 1 #~%0% 3x - 2x = 1 + 1}</p><p>{1:MULTICHOICE:%100% x&nbsp; =&nbsp; 0 #~%0% x = 2 #~%0% x&nbsp; = -2}<i><br></i></p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 86  -->
  <question type="cloze">
    <name>
      <text>CL-Equazione intera primo principio 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti per risolvere l'equazione x + 5 = 2x + 1</p><p>{1:MULTICHOICE:%0% x - 2x = -1 - 5 #~%100% 2x - x&nbsp; = 5 - 1&nbsp; #~%0% 2x - x = 5 + 1}</p><p>{1:MULTICHOICE:%100% x&nbsp; =&nbsp; 4 #~%0% -x = -6 #~%0% x&nbsp; = 6}<i><br></i></p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Struttura della terra</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Struttura della terra/Struttura interna della terra 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 89  -->
  <question type="cloze">
    <name>
      <text>Caratterisctiche struttura terra 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La terra si può considerare come una cipolla composta da più strati. Quello più esterno&nbsp; {1:MULTICHOICE:%100% la crosta terrestre #~%0% il nucleo #~%0% la pianura }, quello intermedio {1:MULTICHOICE:%0% il nucleo esterno #~%100% il mantello #~%0% la crosta terrestre} e quello al centro {1:MULTICHOICE:%100% il nucleo #~%0% il mantello #~%0% il mantello centrale}<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 153  -->
  <question type="cloze">
    <name>
      <text>Movimenti del mantello 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/e/ef/Erdschnitt.png" alt="Mantello, nucleo, crosta e correnti" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" width="400" height="397"><br></p><p>I materiali densi presenti nel mantello a contatto col nucleo si &nbsp; {1:MULTICHOICE:%0% densificano #~%100% riscaldono #~%0% raffreddano}&nbsp; e diventando più leggeri cominciano {1:MULTICHOICE:%100% a risalire #~%0% a scendere #~%0% a rallentare} nelle correnti {1:MULTICHOICE:%100% convettive #~%0% limitrofe #~%0% oceaniche}<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 157  -->
  <question type="cloze">
    <name>
      <text>Nucleo al centro della terra</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Al centro della terra si trova il nucleo che raggiunge la temperatura di&nbsp; {1:MULTICHOICE:%0% 600°#~%100% 6000°#~%0% 3500°}&nbsp; ed è composto principalmente da {1:MULTICHOICE:%100% nichel#~%0% idrogeno#~%0% acciaio} e {1:MULTICHOICE:%0% ossigeno#~%0% rocce#~%100% ferro}<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 181  -->
  <question type="cloze">
    <name>
      <text>Superficie della terra</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Lo strato superficiale della terra è chiamato&nbsp; {1:MULTICHOICE:%0% pellicola#~%0% mantello#~%100%crosta } terrestre, è di varia composizione, ed è più {1:MULTICHOICE:%100% spessa#~%0% pesante#~%0% calda} nelle sue parti continentali e più {1:MULTICHOICE:%100% pesante#~%0% leggera#~%0% fredda} sui fondali oceanici.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Potenze/Algebra delle potenze/Cloze-Espressione con potenza</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 93  -->
  <question type="cloze">
    <name>
      <text>Cloze - Espressione 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>( 2<sup>7</sup> : 2<sup>3</sup> )<sup>2</sup> : {1:MULTICHOICE:=2²#OK~2³#WRONG} = 2<sup>6</sup><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 210077  -->
  <question type="cloze">
    <name>
      <text>Cloze - Espressione 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>( 3<sup>3</sup><span style="font-size: 0.9375rem;">&nbsp;)</span><sup>2</sup><span style="font-size: 0.9375rem;"> : {1:MULTICHOICE:3²#WRONG~=3³#OK} = 3</span><sup>3</sup></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 210079  -->
  <question type="cloze">
    <name>
      <text>Cloze - Espressione 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><math>4</math><sup>253</sup>&nbsp;· {1:MULTICHOICE:=0,25#WRONGOK~0,5#WRONG}<sup>253</sup> = 1</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 210082  -->
  <question type="cloze">
    <name>
      <text>Cloze - Espressione 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><math>5</math><sup>101</sup>&nbsp;· {1:MULTICHOICE:=0,2#WRONGOK~0,5#WRONG}<sup>100</sup> = 5</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 210084  -->
  <question type="cloze">
    <name>
      <text>Cloze - Espressione 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>(5 - {1:MULTICHOICE:=3#WRONG~5#WRONG})<sup>0</sup> = 1</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 95  -->
  <question type="cloze">
    <name>
      <text>Cloze- Espressione 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>( 5<sup>3</sup> · 5<sup>2</sup> )<sup>2</sup> : {1:MULTICHOICE:=5³#OK~5²#Wrong} = 5<sup>7</sup><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Genetica ed evoluzione</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Genetica ed evoluzione/DNA e cromosomi 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 36582  -->
  <question type="ddimageortext">
    <name>
      <text>Cromosomi omologhi e cromatidi fratelli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Trascina sull'immagine i termini corretti.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>Cromosomi omologhi</text>

      <draggroup>1</draggroup>
      <infinite/>
    </drag>
    <drag>
      <no>2</no>
      <text>Cromatidi fratelli</text>

      <draggroup>1</draggroup>
      <infinite/>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>124</xleft>
      <ytop>40</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>196</xleft>
      <ytop>324</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>2</choice>
      <xleft>84</xleft>
      <ytop>327</ytop>
    </drop>
  </question>

<!-- question: 100  -->
  <question type="cloze">
    <name>
      <text>DNA caratteristiche e rappresentazione 1 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;<br></p><p>Il DNA è un {1:MULTICHOICE:%100% acido nucleico #~%0% acido basico #~%0% acido cellulare } e si rende evidente in strutture tipiche dette&nbsp; {1:MULTICHOICE:%0% cariosomi #~%0% diasomi #~%100% cromosomi }.&nbsp; Nel DNA sono racchiuse le informazioni per {1:MULTICHOICE:%100% lo sviluppo dell' organismo vivente #~%0% le prime fasi della vita di un organismo #~%0% i comportamenti dell'organismo in natura}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Equazioni/Equazioni con richiami calcolo letterale normali 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 112  -->
  <question type="cloze">
    <name>
      <text>Equazione  parentesi segno 3 punti 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti&nbsp; 3(x - 2) - 2(x - 2) = 0</p><p></p><p>{1:MULTICHOICE:%0% 3x - 6 + 2x + 4 = 0 #~%100% 3x - 6 - 2x + 4 = 0 #~%0%3x - 6 - 2x - 4 = 0}</p><p>{1:MULTICHOICE:%0% 3x&nbsp; -&nbsp; 4x = 0&nbsp; #~%100% x&nbsp; - 2 = 0 #~%0% 5x -10 = 0}<br></p><p>{1:MULTICHOICE:%0% x&nbsp; =&nbsp; 0 #~%100% x = 2 #~%0% 3x&nbsp; = 2}</p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 116  -->
  <question type="cloze">
    <name>
      <text>Equazione  parentesi segno 3 punti 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti&nbsp; 3(1 - 2x) = 2(2x - 2) -3<br></p><p></p><p>{1:MULTICHOICE:%100% 3 - 6x = 4x - 4 -3 #~%0% 3 + 6x = 4x - 4 -3 #~%0%3 - 6x = 4x + 4 -3}</p><p>{1:MULTICHOICE:%100% 10x&nbsp; = 10&nbsp; #~%0% 2x&nbsp; = 10 #~%0% 10x&nbsp; = 4}<br></p><p>{1:MULTICHOICE:%0% x&nbsp; =&nbsp; 0 #~%0% impossibile #~%100% x&nbsp; = 1}</p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 120  -->
  <question type="cloze">
    <name>
      <text>Equazione  parentesi segno 3 punti 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti&nbsp; 9x -5(2 + 2x) = 1 - x<br></p><p></p><p>{1:MULTICHOICE:%0% 9x - 10 + 10x = 1 - x #~%0% 9x - 10 + 2x = 1 - x #~%100%9x - 10 - 10x = 1 - x}</p><p>{1:MULTICHOICE:%100% -x&nbsp; - 10 = 1 - x&nbsp; #~%0% -x + 10 = 1 #~%0% x - 10 = 1 - x}<br></p><p>{1:MULTICHOICE:%0% x&nbsp; =&nbsp; -11 #~%100% impossibile #~%100% x&nbsp; = 10}</p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Equazioni/Equazioni con richiami calcolo letterale facili 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 124  -->
  <question type="cloze">
    <name>
      <text>Equazione con calcoli in parentesi segno facile</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti&nbsp; 3x - 2(x+1) = 0</p><p></p><p>{1:MULTICHOICE:%100% 3x - 2x -2 = 0 #~%0% 3x - 2x -1 = 0 #~%0%3x - 2x +1 = 0}</p><p>{1:MULTICHOICE:%0% 3x&nbsp; -&nbsp; x = 0&nbsp; #~%100% x - 2 = 0#~%0% 5x&nbsp; -2 = 0}<br></p><p>{1:MULTICHOICE:%0% x&nbsp; =&nbsp; 1 #~%100% x = 2 #~%0% 5x&nbsp; = 1}</p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 128  -->
  <question type="cloze">
    <name>
      <text>Equazione con calcoli in parentesi segno facile 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti&nbsp; 2x - (x - 1) = 1<br></p><p></p><p>{1:MULTICHOICE:%0% 3x - x -1 = 0 #~%100% 2x - x + 1 = 1 #~%0% 0x +1 = 0}</p><p>{1:MULTICHOICE:%0% x&nbsp; +&nbsp; 1 = 0&nbsp; #~%100% x&nbsp; = 1 - 1#~%0% 3x&nbsp; + 1 = 0}<br></p><p>{1:MULTICHOICE:%100% x&nbsp; =&nbsp; 0 #~%0% x = -1 #~%0% x&nbsp; = 1}</p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 132  -->
  <question type="cloze">
    <name>
      <text>Equazione con calcoli in parentesi segno facile 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i passaggi corretti&nbsp; 3(x - 1) + (1 - 2x)&nbsp; - 1= 0</p><p></p><p>{1:MULTICHOICE:%0% 3x - 1 + 1 - 2x - 1 = 0 #~%100% 3x - 3 + 1 - 2x - 1= 0 #~%0%3x - 2x +1 = 0}</p><p>{1:MULTICHOICE:%100% x - 3 = 0&nbsp; #~%0% 3x - 2 = 0#~%0% x - 2 = 0}<br></p><p>{1:MULTICHOICE:%100% x&nbsp; =&nbsp; 3 #~%0% x = -3#~%0% x&nbsp; = 0}</p><br><p></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Fenomeni endogeni della terra/Vulcani 2 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 136  -->
  <question type="cloze">
    <name>
      <text>Eruzioni descrizione 2 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La grande scorrevolezza della lava&nbsp; 
{1:MULTICHOICE:%0% acida&nbsp; #~%100% basica #~%0% viscosa } caratterizza le eruzioni vulcaniche {1:MULTICHOICE:%100% effusive #~%0% esplosive #~%0% acide }.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 139  -->
  <question type="cloze">
    <name>
      <text>Eruzioni descrizione 2 punti (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La poca scorrevolezza della lava&nbsp; 
{1:MULTICHOICE:%100% acida&nbsp; #~%0% basica #~%0% rugosa } e la presenza di gas caratterizzano le eruzioni vulcaniche {1:MULTICHOICE:%100% esplosive #~%0% effusive #~%0% d'artificio }.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Fenomeni endogeni della terra/Terremoti 3 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 161  -->
  <question type="cloze">
    <name>
      <text>Onde terremoto 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"></span>Le onde sismiche sono di tre tipi: veloci e di compressione le onde&nbsp; <b><span style="font-weight:normal;"><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"></span></span></b>{1:MULTICHOICE:%0% seconde #~%0% lunghe #~%100% prime}, anche le onde seconde nascono in profondità ma sono&nbsp; {1:MULTICHOICE:%0% lunghe #~%100% trasversali #~%0% profonde} e le onde lunghe che sono {1:MULTICHOICE:%100% superficiali #~%0% velocissime #~%0% di profondità}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 185  -->
  <question type="cloze">
    <name>
      <text>Terremoti origine 3 punti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"></span>La maggior parte dei terremoti è di origine <b><span style="font-weight:normal;"><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"></span></span></b>{1:MULTICHOICE:%0% vulcanica #~%0% carsica #~%100% tettonica}, si generano per spaccature nelle rocce e &nbsp; {1:MULTICHOICE:%0% eruzioni di magma che non risale in superficie #~%100% movimenti lungo le linee di frattura in profondità #~%0% risalita delle correnti convettive del mantello} , meno importanti sono i terremoti {1:MULTICHOICE:%100% vulcanici #~%0% superficiali #~%0% di profondità}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Fenomeni endogeni della terra/Terremoti 2 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 169  -->
  <question type="cloze">
    <name>
      <text>Punti del terremoto 2 punti (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"></span>Il punto di rottura delle rocce in profondità si chiama <b><span style="font-weight:normal;"><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"></span></span></b>{1:MULTICHOICE:%100% ipocentro #~%0% punto notevole #~%0% epicentro} del terremoto; il punto che gli corrisponde in verticale sulla superficie della terra si chiama {1:MULTICHOICE:%100% epicentro #~%0% ipocentro #~%0% superficiale}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 172  -->
  <question type="cloze">
    <name>
      <text>Regole di comportamento 2 punti (copia) (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"></span>Se per sfortuna ci si trova in una zona colpita da un sisma, durante e immediatamente dopo il terremoto è consigliato <b><span style="font-weight:normal;"><span style="font-size:14.666666666666666px;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"></span></span></b>{1:MULTICHOICE:%0% uscire al più presto da qualsiasi edificio #~%0% scendere velocemente in ascensore dai piani alti #~%100% mettersi al riparo sotto un muro portante}&nbsp; e&nbsp; {1:MULTICHOICE:%0% allontanarsi dalla zona in auto #~%100% usare il telefono solo per necessità #~%0% rifugiarsi al coperto}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Struttura della terra/Struttura interna della terra 2 punti</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 175  -->
  <question type="cloze">
    <name>
      <text>Struttura della parte intermedia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Tra la superficie ed il centro della terra c'è {1:MULTICHOICE:%100% il mantello#~%0% la litosfera#~%0% l'astenosfera} , lo strato più superficiale del quale fa parte {1:MULTICHOICE:%0% della crosta terrestre#~%100% della litosfera#~%0% dell'astenosfera}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 178  -->
  <question type="cloze">
    <name>
      <text>Struttura della parte intermedia 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I primi 700 km dalla superficie della terra formano&nbsp; {1:MULTICHOICE:%0% il mantello#~%100% la litosfera#~%0% l'astenosfera} , che prosegue in uno strato più liquido chiamato&nbsp; {1:MULTICHOICE:%0% nucleo esterno #~%0% litosfera#~%100% astenosfera}.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Addizioni e sottrazioni con numeri decimali</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 190  -->
  <question type="multichoice">
    <name>
      <text>Addizione decimale 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[0,3 + 0,05 =<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,35<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,8<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>8,0<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 191  -->
  <question type="multichoice">
    <name>
      <text>Addizione decimale 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[0,25+ 0,35 =<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,06<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6,0<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 192  -->
  <question type="multichoice">
    <name>
      <text>Addizione decimale 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[0,8 + 0,5 =<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1,3<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,13<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>13,0<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 865  -->
  <question type="multichoice">
    <name>
      <text>Sottrazione decimale 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[0,8 - 0,5 =<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,3<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,03<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[Non si può fare<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 866  -->
  <question type="multichoice">
    <name>
      <text>Sottrazione decimale 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[0,8 - 0,15 =<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,65<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,7<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[Non si può fare<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 867  -->
  <question type="multichoice">
    <name>
      <text>Sottrazione decimale 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[0,75 - 0,15 =<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,25<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[Non si può fare<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri naturali/Algebra dei naturali definizioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 193  -->
  <question type="multichoice">
    <name>
      <text>Addizione definizione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La definizione di addizione è?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>addendo + addendo = somma</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>fattore + fattore = somma</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>addendo + addendo = prodotto</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>fattore + fattore = prodotto</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 199  -->
  <question type="multichoice">
    <name>
      <text>Addizione dispari</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'addizione di due numeri dispari ha come risultato un numero...</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>pari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>dispari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>non si può sapere prima di aver svolto l'operazione</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>nè pari nè dispari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 206  -->
  <question type="multichoice">
    <name>
      <text>Addizione pari</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'addizione di due numeri pari ha come risultato un numero....</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>pari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>dispari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>dipende dagli addendi</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>non si può sapere prima di svolgere l'operazione</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 331  -->
  <question type="multichoice">
    <name>
      <text>Divisione proprietà 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>E' vero che se 18:6=3 allora 36:12 da lo stesso risultato. Perchè? Come si chiama questa proprietà?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Si è vero perchè ho moltiplicato sia il dividendo che il divisore per uno stesso numero. Proprietà invariantiva.</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Si è vero perchè è un caso, proprietà causativa.</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>No non è vero, il risultato deve essere un numero più grande.</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Si è vero per la proprietà distributiva, ho sommato lo stesso numero al dividendo e al divisore.</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 415  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione definizione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La definizione di moltiplicazione è?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>addendo · addendo = somma</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>fattore · fattore = somma</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>addendo · addendo = prodotto</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>fattore · fattore = prodotto</p>]]></text>
      <feedback format="html">
        <text><![CDATA[<p>·</p>]]></text>
      </feedback>
    </answer>
  </question>

<!-- question: 419  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione dispari</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La moltiplicazione di due numeri dispari ha come risultato un numero...</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text>pari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>dispari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>non si può sapere prima di aver svolto l'operazione</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>nè pari nè dispari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 422  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione pari</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La moltiplicazione di due numeri pari ha come risultato un numero....</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>pari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>dispari</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>dipende dai fattori</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>non si può sapere prima di svolgere l'operazione</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 423  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione per 9</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Per moltiplicare un numero per 9 posso:</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>moltiplicarlo per tre e raddoppiare il risultato</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>sottrarlo al risultato della sua moltiplicazione per 10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>aggiungerlo al risultato della sua moltiplicazione per 10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>tripicarlo e moltiplicarlo per 10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 587  -->
  <question type="multichoice">
    <name>
      <text>Proprietà invariantiva</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Nella divisione 132 : 36, i termini 132 e 36 si chiamano rispettivamente</p><p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>addendo 1 e addendo 2</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>divisore e dividendo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>dividendo e divisore</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>minuendo e sottraendo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Addizione di frazioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 194  -->
  <question type="multichoice">
    <name>
      <text>Addizione di frazioni 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{2}{3} + \frac{1}{2} \&nbsp; =$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{7}{6}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{3}{5}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{3}{6}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{7}{5}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 195  -->
  <question type="multichoice">
    <name>
      <text>Addizione di frazioni 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{2}{3} + \frac{1}{4} \&nbsp; =$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{11}{12}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{3}{7}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{11}{7}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{3}{12}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 196  -->
  <question type="multichoice">
    <name>
      <text>Addizione di frazioni unitarie</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{1}{3} + \frac{1}{2} \&nbsp; =$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{5}{6}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{2}{5}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{2}{6}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{1}{6}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 197  -->
  <question type="multichoice">
    <name>
      <text>Addizione di frazioni unitarie 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{1}{4} + \frac{1}{2} \&nbsp; =$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{3}{4}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{2}{6}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{2}{8}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{1}{3}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 198  -->
  <question type="multichoice">
    <name>
      <text>Addizione di frazioni unitarie 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{1}{4} + \frac{1}{3} \&nbsp; =$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{7}{12}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{1}{7}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{2}{12}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{7}{7}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Addizione di frazioni/RM-Addizione Frazioni con riduzione</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 200  -->
  <question type="multichoice">
    <name>
      <text>Addizione frazioni con riduzione 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è lo svolgimento corretto?<br></p><p>$$ \frac{1}{3} + \frac{7}{6} = $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ \frac{2 + 7}{6}&nbsp; = \frac{9}{6}&nbsp; =&nbsp; \frac{3}{2}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{1 + 7}{3 + 6}&nbsp; = \frac{8}{9} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{2 + 7}{3}&nbsp; = \frac{9}{3}&nbsp; =&nbsp; 3$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{1 + 7}{3}&nbsp; = \frac{8}{3}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 201  -->
  <question type="multichoice">
    <name>
      <text>Addizione frazioni con riduzione 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è lo svolgimento corretto?<br></p><p>$$ \frac{13}{10} + \frac{1}{5} = $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ \frac{13 + 2}{10}&nbsp; = \frac{15}{10}&nbsp; =&nbsp; \frac{3}{2}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{13 + 1}{5 + 10}&nbsp; = \frac{14}{15}&nbsp; $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{13 + 1}{10}&nbsp; = \frac{14}{10}&nbsp; =&nbsp; \frac{7}{5}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{13 + 1}{50}&nbsp; = \frac{14}{50} = \frac{7}{25}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Test uscita primaria ingresso media</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Test uscita primaria ingresso media/Test ingresso quattro operazioni uscita primaria ingresso media</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 202  -->
  <question type="multichoice">
    <name>
      <text>Addizione numeri 4 cifre</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>1024 + 205 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3074</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1229</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>21524</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può fare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 203  -->
  <question type="multichoice">
    <name>
      <text>Addizione numeri 4 cifre</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>1024 + 205 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3074</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1229</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>21524</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può fare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 204  -->
  <question type="multichoice">
    <name>
      <text>Addizione numeri con decimali</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>10,24 + 20,5 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>30,74</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>12,74</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>21,29</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 205  -->
  <question type="multichoice">
    <name>
      <text>Addizione numeri con decimali</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>10,24 + 20,5 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>30,74</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>12,74</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>21,29</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 313  -->
  <question type="multichoice">
    <name>
      <text>Divisione 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>18 : 5 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>3,6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3,5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può fare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 314  -->
  <question type="multichoice">
    <name>
      <text>Divisione 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>18 : 5 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>3,6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3,5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può fare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 315  -->
  <question type="multichoice">
    <name>
      <text>Divisione 02</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>5 : 0 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>non si può fare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>50</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 316  -->
  <question type="multichoice">
    <name>
      <text>Divisione 02</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>5 : 0 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>non si può fare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>50</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 327  -->
  <question type="multichoice">
    <name>
      <text>Divisione numeri con decimali 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>2170 : 3,5 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>620</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6200</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>62</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 328  -->
  <question type="multichoice">
    <name>
      <text>Divisione numeri con decimali 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>2170 : 3,5 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>620</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6200</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>62</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 329  -->
  <question type="multichoice">
    <name>
      <text>Divisione numeri con decimali 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>206,1 :3 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>68,7</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>687</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6,87</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 330  -->
  <question type="multichoice">
    <name>
      <text>Divisione numeri con decimali 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>206,1 :3 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>68,7</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>687</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6,87</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 420  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione numeri con decimali 2 (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>124 x 7,6 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>942,4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>9424</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>94,24</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 421  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione numeri con decimali 2 (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>124 x 7,6 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>942,4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>9424</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>94,24</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 457  -->
  <question type="multichoice">
    <name>
      <text>Ordine operazioni 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>13 - 2 x (3 + 2) =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>11 x 5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>15 x (3 + 2)</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>13 - 10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>13 - 6 + 2</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 458  -->
  <question type="multichoice">
    <name>
      <text>Ordine operazioni 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>13 - 2 x (3 + 2) =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>11 x 5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>15 x (3 + 2)</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>13 - 10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>13 - 6 + 2</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 459  -->
  <question type="multichoice">
    <name>
      <text>Ordine operazioni 02</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>7 - 3 x 2</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>7 - 6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può fare, ci vorrebbero le parentesi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>4 x 2</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>7 - 5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 460  -->
  <question type="multichoice">
    <name>
      <text>Ordine operazioni 02</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>7 - 3 x 2</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>7 - 6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può fare, ci vorrebbero le parentesi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>4 x 2</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>7 - 5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 845  -->
  <question type="multichoice">
    <name>
      <text>Somma verbale 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Centosettantacinque più 30 fa</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>duecentocinque</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>centotrentasette e cinque decimi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può svolgere</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>178</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 846  -->
  <question type="multichoice">
    <name>
      <text>Somma verbale 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Centosettantacinque più 30 fa</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>duecentocinque</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>centotrentasette e cinque decimi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può svolgere</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>178</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 870  -->
  <question type="multichoice">
    <name>
      <text>Sottrazione numeri con decimali 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>1070 - 189,6 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>880,4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>890,6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1259,6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 871  -->
  <question type="multichoice">
    <name>
      <text>Sottrazione numeri con decimali 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>1070 - 189,6 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>880,4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>890,6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1259,6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Calcolo letterale</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 261  -->
  <question type="multichoice">
    <name>
      <text>Calcolo letterale - introduzione alle equazioni</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Equazioni.PNG" alt="Immagine per introdurre le equazioni" width="413" height="154" style="vertical-align:middle; margin: 0 .5em;" class="img-responsive"><br></p><p><br></p><p>Osserva la figura: per costruire il recinto di legno che vedi in figura sono necessari 120 m. Quale uguaglianza descrive la funzione che permette di calcolare la misura di y?</p><p><br></p><p><br></p><p><br></p>]]></text>
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NYqq4od/M6zUkZoVfHLtfNCut9LvU6+u7r2v2fpZ3/fqCsYVH64Ot6+9cB9AzRASyttSr57m8qvH1JOYtTNevgn9XWOf7DrmSt/fCaKr6crZjRe1Xe9dsAeojoAB0damtrU7v9Q7vufLZFI2cfVV2HdPH0Wi3N3qCZg0Zoz62u3wDQc0QHaKrQl/+xV4dPfq7ffnFKK95O0prTF+0IFf3lFxr5r/+ssZv/1PW7AFwhOkBHsx5e/0qfHs9X/uFf6Nyfrqmmqeuq5v75PRqfkKnb1RxOCfQGogM809Fh/fd3HbWXtODN4Tr2dQXr00AvITrAD6j89riOnL0srnGA3kN0AAAhQ3QAACEi/S9E/iAtiT2GeQAAAABJRU5ErkJggg==</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>14y = 120 m</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>12y<sup>2 </sup>= 120 m</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>12y = 120 m</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6y<sup>2</sup>&nbsp;= 12y</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 262  -->
  <question type="multichoice">
    <name>
      <text>Calcolo letterale in geometria piana</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><p lang="zxx" align="justify" style="margin-left: 1.01cm; margin-bottom: 0cm; font-style: normal; line-height: 150%">
In un rettangolo la base
misura 4x e l'altezza 3x. Se x = 6 cm, quanto misura il suo perimetro?&nbsp;</p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>22 cm</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>84 cm</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>48 cm</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>88 cm</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 378  -->
  <question type="multichoice">
    <name>
      <text>Grado complessivo del monomio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il grado complessivo del monomio 3a<sup>2</sup>b<sup>2 </sup>è</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 883  -->
  <question type="multichoice">
    <name>
      <text>Teoria polinomi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><p>Si chiama polinomio</p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><p>il prodotto di più monomi simili fra loro</p><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>la somma algebrica di più monomi simili fra loro</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>la somma algebrica di monomi non simili fra loro</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 926  -->
  <question type="multichoice">
    <name>
      <text>traduzione del testo in calcolo letterale</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><p><ol>
	<p style="margin-bottom: 0.35cm; line-height: 115%">La scrittura   (
	b + 3a<sup>2</sup> ): b         si traduce in 
	</p>
</ol><br></p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><p style="margin-left: 1.27cm; text-indent: 0.73cm; margin-bottom: 0.35cm; line-height: 115%">
La somma di b più tre volte il quadrato di a diviso b</p><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><p style="margin-left: 1.27cm; text-indent: 0.73cm; margin-bottom: 0.35cm; line-height: 115%">
La somma di b più tre volte il quadrato di a tutto diviso b</p><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><p style="margin-left: 1.27cm; text-indent: 0.73cm; margin-bottom: 0.35cm; line-height: 115%">Il quadrato della somma&nbsp;<span style="text-indent: 0.73cm;">di b e a, tutto diviso b</span></p><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 898  -->
  <question type="multichoice">
    <name>
      <text>Valore numerico di un'espressione letterale</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se nell'espressione letterale&nbsp; &nbsp;( 2a + 3b) (a - 1), a = -2 e b = 2, il risultato finale è pari a&nbsp;</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>-6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>+6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>-12</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>+12</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Calcolo letterale/AddizioneMonomiCoeffFrazioni2mon2lett</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 207  -->
  <question type="multichoice">
    <name>
      <text>AddizioneMonomiCoeffFrazioni2mon2lett - Variante 1</text>
    </name>
    <questiontext format="html">
      <text>$$\frac{1}{3}a^2b + \frac{2}{3}a^2b$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$a^2b$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$2a^2b$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$\frac{1}{3}a^2b$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$a^4b^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 208  -->
  <question type="multichoice">
    <name>
      <text>AddizioneMonomiCoeffFrazioni2mon2lett - Variante 2</text>
    </name>
    <questiontext format="html">
      <text>$$\frac{2}{5}xy + \frac{3}{5}xy$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$xy$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$\frac{6}{5}xy$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$\frac{6}{5}x^2y^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$x^2y^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 209  -->
  <question type="multichoice">
    <name>
      <text>AddizioneMonomiCoeffFrazioni2mon2lett - Variante 3</text>
    </name>
    <questiontext format="html">
      <text>$$\frac{1}{4}a^2b^2 + \frac{3}{4}a^2b^2$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$a^2b^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$2a^2b^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$a^4b^4$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$\frac{3}{4}a^2b^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210  -->
  <question type="multichoice">
    <name>
      <text>AddizioneMonomiCoeffFrazioni2mon2lett - Variante 4</text>
    </name>
    <questiontext format="html">
      <text>$$\frac{1}{4}x^2y + \frac{1}{4}x^2y$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$\frac{1}{2}x^2y$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$\frac{1}{8}x^2y$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$2x^2y$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$4x^2y$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211  -->
  <question type="multichoice">
    <name>
      <text>AddizioneMonomiCoeffFrazioni2mon2lett - Variante 5</text>
    </name>
    <questiontext format="html">
      <text>$$\frac{1}{2}ab^2 + \frac{1}{4}ab^2$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$\frac{3}{4}ab^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$\frac{1}{3}ab^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$\frac{1}{8}a^2b^4$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$a^2b$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Addizione di frazioni regola senza svolgimento</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 212  -->
  <question type="multichoice">
    <name>
      <text>Addizioni di frazioni regola senza svolgimento 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è il prossimo passaggio?<br></p><p>$$\frac{7}{4} + \frac{5}{3} = $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ \frac{21 + 20}{12} =&nbsp; \frac{41}{12} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{7 \cdot 5}{4 \cdot 3}&nbsp; = \frac{35}{12} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{7+5}{12} = \frac{12}{12} = 1 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{7 + 5}{4 + 3} = \frac{12}{7}&nbsp; $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Forze - Dinamica/Attrito</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 213  -->
  <question type="multichoice">
    <name>
      <text>Aerodinamica</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La forma aerodinamica serve<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>A ridurre l'attrito con l'aria<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>A volare come gli aeroplani<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>A riequilibrare masse d'aria<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 379  -->
  <question type="multichoice">
    <name>
      <text>In acqua</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La forma dei pesci permette loro di muoversi in acqua con poco attrito e si dice<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Idrodinamica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Acquaticità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Aerodinamica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 805  -->
  <question type="multichoice">
    <name>
      <text>Ridurre l'attrito</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Per ridurre l'attrito e permettere ad un oggetto di scorrere più facilmente su una superficie si può:<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Lubrificare e levigare la superficie<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Riscaldare e rimpicciolire l'oggetto<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Raffreddare la superficie fino a 0°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 957  -->
  <question type="truefalse">
    <name>
      <text>Cosa è l'attrito</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'attrito è una forza che favorisce il movimento<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 958  -->
  <question type="truefalse">
    <name>
      <text>Cosa è l'attrito 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'attrito è una forza che si oppone al movimento<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Apparato circolatorio/Cuore</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 214  -->
  <question type="multichoice">
    <name>
      <text>Anatomia del cuore 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il cuore è diviso in una metà destra e una metà sinistra che<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>non comunicano tra loro<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>sono collegate<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>riversano il sangue nell'aorta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non è vero<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 963  -->
  <question type="truefalse">
    <name>
      <text>Cuore cartilagineo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il cuore è un organo formato da tessuto cartilagineo.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 964  -->
  <question type="truefalse">
    <name>
      <text>Cuore coronarie</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le coronarie sono arterie che portano il sangue per far funzionare il cuore.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 965  -->
  <question type="truefalse">
    <name>
      <text>Cuore membrana</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il cuore è avvolta da una sottile membrana che si chiama pericardio.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 966  -->
  <question type="truefalse">
    <name>
      <text>Cuore muscolo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il cuore è un muscolo cavo che si trova al centro del torace.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 967  -->
  <question type="truefalse">
    <name>
      <text>Cuore riceve da aorta</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il cuore deve a sua volta ricevere sangue, e lo riceve attraverso l'aorta.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Angoli</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 915  -->
  <question type="multichoice">
    <name>
      <text>angolo concavo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un angolo è concavo se&nbsp;</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non contiene i prolungamenti dei lati</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>contiene i prolungamenti dei lati</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può sapere senza misure</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 916  -->
  <question type="multichoice">
    <name>
      <text>angolo convesso</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un angolo è convesso se&nbsp;</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>contiene i prolungamenti dei lati&nbsp;</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>non contiene i prolungamenti dei lati</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si può sapere senza misure</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 923  -->
  <question type="multichoice">
    <name>
      <text>problemi con angoli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><p>Due angoli sono complementari e sono uno il
quintuplo dell’altro. Le loro misure sono:</p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>15° e 75°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10° e 80°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10° e 50°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 800  -->
  <question type="multichoice">
    <name>
      <text>RiconosciAngolo Acuto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di questi è un angolo acuto?</p>
<p>a. <img src="@@PLUGINFILE@@/AngoloPiattoTratteggio.png" alt="AngoloPiatto" width="120" height="80" /> b. <img src="@@PLUGINFILE@@/AngoloRettoTratteggio.png" alt="AngoloRetto" width="120" height="100" />c. <img src="@@PLUGINFILE@@/AngoloAcutoTratteggio.png" alt="AngoloAcuto" width="120" height="100" /> d. <img src="@@PLUGINFILE@@/AngoloOttusoTratteggio.png" alt="AngoloOttuso" width="120" height="100" /></p>]]></text>
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    </questiontext>
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      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text>Figura a</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura b</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>Figura c</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura d</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 801  -->
  <question type="multichoice">
    <name>
      <text>RiconosciAngoloGiro</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di questi è un angolo giro?</p>
<p>a. <img src="@@PLUGINFILE@@/AngoloPiattoTratteggio.png" alt="AngoloPiatto" width="120" height="80" /> b. <img src="@@PLUGINFILE@@/AngoloAcutoTratteggio.png" alt="AngoloAcuto" width="120" height="100" />c. <img src="@@PLUGINFILE@@/AngoloRettoTratteggio.png" alt="AngoloRetto" width="120" height="100" /> d. <img src="@@PLUGINFILE@@/AngoloGiroTratteggio.png" alt="AngoloGiro" width="120" height="80" /></p>]]></text>
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    </questiontext>
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      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text>Figura a</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura b</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura c</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>Figura d</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 802  -->
  <question type="multichoice">
    <name>
      <text>RiconosciAngoloOttuso</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di questi è un angolo ottuso?</p>
<p>a. <img src="@@PLUGINFILE@@/AngoloPiattoTratteggio.png" alt="AngoloPiatto" width="120" height="80" /> b. <img src="@@PLUGINFILE@@/AngoloRettoTratteggio.png" alt="AngoloRetto" width="120" height="100" />c. <img src="@@PLUGINFILE@@/AngoloAcutoTratteggio.png" alt="AngoloAcuto" width="120" height="100" /> d. <img src="@@PLUGINFILE@@/AngoloOttusoTratteggio.png" alt="AngoloOttuso" width="120" height="100" /></p>]]></text>
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    </questiontext>
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      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text>Figura a</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura b</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura c</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>Figura d</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 803  -->
  <question type="multichoice">
    <name>
      <text>RiconosciAngoloPiatto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di questi è un angolo piatto?</p>
<p>a. <img src="@@PLUGINFILE@@/AngoloPiattoTratteggio.png" alt="AngoloPiatto" width="120" height="80" /> b. <img src="@@PLUGINFILE@@/AngoloAcutoTratteggio.png" alt="AngoloAcuto" width="120" height="100" />c. <img src="@@PLUGINFILE@@/AngoloRettoTratteggio.png" alt="AngoloRetto" width="120" height="100" /> d. <img src="@@PLUGINFILE@@/AngoloGiroTratteggio.png" alt="AngoloGiro" width="120" height="100" /></p>]]></text>
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    <single>true</single>
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      <text></text>
    </correctfeedback>
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      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>Figura a</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura b</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura c</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura d</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 804  -->
  <question type="multichoice">
    <name>
      <text>RiconosciAngoloRetto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di questi è un angolo retto?</p>
<p>a. <img src="@@PLUGINFILE@@/AngoloPiattoTratteggio.png" alt="AngoloPiatto" width="120" height="80" /> b. <img src="@@PLUGINFILE@@/AngoloAcutoTratteggio.png" alt="AngoloAcuto" width="120" height="100" />c. <img src="@@PLUGINFILE@@/AngoloRettoTratteggio.png" alt="AngoloRetto" width="120" height="100" /> d. <img src="@@PLUGINFILE@@/AngoloOttusoTratteggio.png" alt="AngoloOttuso" width="120" height="100" /></p>]]></text>
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      <text></text>
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    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text>Figura a</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura b</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>Figura c</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>Figura d</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Triangoli/Angoli nei triangoli</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 216  -->
  <question type="multichoice">
    <name>
      <text>Angoli alla base</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[L'angolo al vertice di un triangolo isoscele misura 80°, qual' è la misura dei due angoli alla base?<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>50°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>40°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>45°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 351  -->
  <question type="multichoice">
    <name>
      <text>Due angoli nel triangolo isoscele</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Un angolo alla base di un triangolo isoscele misura 70°, qual'è la misura dei due angoli restanti?<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>40° e 70°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>40° e 40°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>70° e 70°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 886  -->
  <question type="multichoice">
    <name>
      <text>Terzo angolo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Due angoli di un triangolo misurano 30° e 85°, quale è la misura del terzo angolo?<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>65°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>30°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>85°<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1011  -->
  <question type="truefalse">
    <name>
      <text>Misure angoli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Esiste un triangolo con gli angoli che misurano 40°, 60° e 80°<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1012  -->
  <question type="truefalse">
    <name>
      <text>Misure angoli 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Esiste un triangolo con gli angoli che misurano 45°, 65° e 80°<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1013  -->
  <question type="truefalse">
    <name>
      <text>Misure angoli 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un triangolo con gli angoli che misurano 45°, 45° e 90° è isoscele<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1014  -->
  <question type="truefalse">
    <name>
      <text>Misure angoli 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un triangolo con gli angoli che misurano 55°, 55° e 90° è isoscele<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Triangoli/Triangolo isoscele</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 218  -->
  <question type="multichoice">
    <name>
      <text>Angoli isoscele</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di queste terne rappresenta le misure degli angoli di un triangolo isoscele</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>100°, 40°, 40°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>90°, 50°, 50°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>80°, 60°, 40°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 219  -->
  <question type="multichoice">
    <name>
      <text>Angoli isoscele 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di queste terne rappresenta le misure degli angoli di un triangolo isoscele</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>90°, 45°, 45°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>100°, 50°, 50°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>80°, 60°, 40°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 220  -->
  <question type="multichoice">
    <name>
      <text>Angoli isoscele 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se l'angolo al vertice di un triangolo isoscele misura 40°, quale è la misura degli angoli alla base?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>70°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>65°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>140°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 221  -->
  <question type="multichoice">
    <name>
      <text>Angoli isoscele 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se l'angolo al vertice di un triangolo isoscele misura 100°, quale è la misura degli angoli alla base?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>40°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>100°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>80°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 222  -->
  <question type="multichoice">
    <name>
      <text>Angoli isoscele 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se uno degli angoli alla base di un triangolo isoscele misura 45°, quale è la misura dell'angolo al vertice?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>90°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>45°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>135°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 223  -->
  <question type="multichoice">
    <name>
      <text>Angoli isoscele 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se uno degli angoli alla base di un triangolo isoscele misura 60°, quale è la misura dell'angolo al vertice?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>60°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>80°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>120°</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Poligoni/Poligoni regolari</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 211481  -->
  <question type="multichoice">
    <name>
      <text>Poligoni regolari 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/f8/OpenSCAD_regular_polygon_using_circle.jpg" alt="Poligoni regolari" class="img-responsive atto_image_button_text-bottom" width="400" height="420"></p><p>I poligoni regolari...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>...hanno tutti gli angoli e tutti i lati uguali.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>...hanno tutti i lati uguali, infatti il rombo è un poligono regolare<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>...hanno tutti gli angoli uguali, infatti il rettangolo è un poligono regolare.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211475  -->
  <question type="multichoice">
    <name>
      <text>Rombo 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/e/e2/Rombo_010.svg/1000px-Rombo_010.svg.png" alt="rombo" class="img-responsive atto_image_button_text-bottom" width="400" height="240"></p><p>Perchè il rombo non è un poligono regolare?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Perchè non ha tutti gli angoli uguali<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il rombo è un poligono regolare<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Poichè ha i lati uguali solo a due a due<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211488  -->
  <question type="truefalse">
    <name>
      <text>Poligoni regolari 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/f8/OpenSCAD_regular_polygon_using_circle.jpg" alt="Poligoni regolari" class="img-responsive atto_image_button_text-bottom" width="400" height="269"></p><p>Per essere regolare ad un poligono basta avere tutti i lati uguali <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211489  -->
  <question type="truefalse">
    <name>
      <text>Poligoni regolari 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/f8/OpenSCAD_regular_polygon_using_circle.jpg" alt="Poligoni regolari" class="img-responsive atto_image_button_text-bottom" width="400" height="269"></p><p>Un poligono regolare deve avere tutti i lati e tutti gli angoli uguali<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211490  -->
  <question type="truefalse">
    <name>
      <text>Poligoni regolari 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/f8/OpenSCAD_regular_polygon_using_circle.jpg" alt="Poligoni regolari" class="img-responsive atto_image_button_text-bottom" width="400" height="269"></p><p>Tutti i poligoni regolari sono convessi<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211491  -->
  <question type="truefalse">
    <name>
      <text>Poligoni regolari 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/f8/OpenSCAD_regular_polygon_using_circle.jpg" alt="Poligoni regolari" class="img-responsive atto_image_button_text-bottom" width="400" height="269"></p><p>Esistono poligoni regolari concavi<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211482  -->
  <question type="truefalse">
    <name>
      <text>Poligoni regolari rettangolo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/aa/2015_04_07_004_Kopier-Filter_auf_Leuchtpult.jpg/1024px-2015_04_07_004_Kopier-Filter_auf_Leuchtpult.jpg" alt="rettangoli colorati" class="img-responsive atto_image_button_text-bottom" width="400" height="250"></p><p>Il rettangolo è un poligono regolare perchè ha 4 angoli uguali<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211483  -->
  <question type="truefalse">
    <name>
      <text>Poligoni regolari rettangolo 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/aa/2015_04_07_004_Kopier-Filter_auf_Leuchtpult.jpg/1024px-2015_04_07_004_Kopier-Filter_auf_Leuchtpult.jpg" alt="rettangoli colorati" class="img-responsive atto_image_button_text-bottom" width="400" height="250"></p><p>Il rettangolo non è un poligono regolare perchè non ha 4 lati uguali<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Poligoni/Poligoni regolari/Quadrati</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 236755  -->
  <question type="truefalse">
    <name>
      <text>Quadrato diagonali 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/Square_diagonals.svg/500px-Square_diagonals.svg.png" alt="dagonali quadrato" class="img-responsive atto_image_button_text-bottom" width="400" height="400"><br></p><p>Nel quadrato le diagonali sono perpendicolari<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 236756  -->
  <question type="truefalse">
    <name>
      <text>Quadrato diagonali 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/Square_diagonals.svg/500px-Square_diagonals.svg.png" alt="dagonali quadrato" class="img-responsive atto_image_button_text-bottom" width="400" height="400"><br></p><p>Nel quadrato le diagonali formano angoli di 120°<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 236757  -->
  <question type="truefalse">
    <name>
      <text>Quadrato diagonali 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/Square_diagonals.svg/500px-Square_diagonals.svg.png" alt="dagonali quadrato" class="img-responsive atto_image_button_text-bottom" width="400" height="400"><br></p><p>Nel quadrato le diagonali sono uguali<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 236758  -->
  <question type="truefalse">
    <name>
      <text>Quadrato diagonali 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/Square_diagonals.svg/500px-Square_diagonals.svg.png" alt="dagonali quadrato" class="img-responsive atto_image_button_text-bottom" width="400" height="400"><br></p><p>Nel quadrato le diagonali sono l'una la metà dell'altra<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 236759  -->
  <question type="truefalse">
    <name>
      <text>Quadrato diagonali 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/Square_diagonals.svg/500px-Square_diagonals.svg.png" alt="dagonali quadrato" class="img-responsive atto_image_button_text-bottom" width="400" height="400"><br></p><p>Nel quadrato le diagonali si tagliano a metà<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Geometria calcolo letterale</text>
    </category>
    <info format="html">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Geometria calcolo letterale/Quadrati calcolo letterale</text>
    </category>
    <info format="html">
      <text></text>
    </info>
  </question>

<!-- question: 227  -->
  <question type="multichoice">
    <name>
      <text>Area quadrato di lato a</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<img src="@@PLUGINFILE@@/QuadratoLatoa.png" alt="quadrato di lato a" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" height="378" width="378"><br>Quale è l'area di questo quadrato?<br>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$a^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4a^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4a$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2a$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 228  -->
  <question type="multichoice">
    <name>
      <text>Area quadrato lato x</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/QuadratoLatox.png" alt="Quadrato di lato x" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" height="200" width="200"><br></p><p>Qual'è l'area di questo quadrato?<br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$x^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4x^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2x^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4x$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 466  -->
  <question type="multichoice">
    <name>
      <text>Perimetro quadrato lato a</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/e/ee/QuadratoLatoa.png" alt="quadrato di lato a" style="vertical-align:text-top; margin: 0 .5em;" class="img-responsive" height="378" width="378"><br></p><p>Quale è il perimetro di questo quadrato?<br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$4a$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$a^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$a^4$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2a$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 467  -->
  <question type="multichoice">
    <name>
      <text>Perimetro quadrato lato x</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/9e/QuadratoLatox.png" alt="quadrato di lato x" style="vertical-align:text-top; margin: 0 .5em;" class="img-responsive" height="200" width="200"><br></p><p>Quale è il perimetro di questo quadrato?<br></p>]]></text>
<file name="QuadratoLatoa.png" path="/" encoding="base64">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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$4x$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$x^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$x^4$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2x$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Poligoni/Rettangoli</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 236751  -->
  <question type="truefalse">
    <name>
      <text>Diagonali rettangolo 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/a/a4/Rectangle_with_two_diagonals.png" alt="rettangolo" class="img-responsive atto_image_button_text-bottom" width="400" height="216"><br></p><p>Nel rettangolo le due diagonali sono uguali.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 236752  -->
  <question type="truefalse">
    <name>
      <text>Diagonali rettangolo 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/a/a4/Rectangle_with_two_diagonals.png" alt="rettangolo" class="img-responsive atto_image_button_text-bottom" width="400" height="216"><br></p><p>Nel rettangolo le due diagonali sono l'una il doppio dell'altra<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 236753  -->
  <question type="truefalse">
    <name>
      <text>Diagonali rettangolo 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/a/a4/Rectangle_with_two_diagonals.png" alt="rettangolo" class="img-responsive atto_image_button_text-bottom" width="400" height="216"><br></p><p>Nel rettangolo le due diagonali si tagliano a metà<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 236754  -->
  <question type="truefalse">
    <name>
      <text>Diagonali rettangolo 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/a/a4/Rectangle_with_two_diagonals.png" alt="rettangolo" class="img-responsive atto_image_button_text-bottom" width="400" height="216"><br></p><p>Nel rettangolo le due diagonali sono perpendicolari<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Geometria calcolo letterale/Rettangoli calcolo letterale</text>
    </category>
    <info format="html">
      <text></text>
    </info>
  </question>

<!-- question: 229  -->
  <question type="multichoice">
    <name>
      <text>Area rettangolo  a 2b</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<img src="https://upload.wikimedia.org/wikipedia/commons/d/d4/Rettangolo2ba.png" alt="rettangolo di base 2b e altezza a" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" height="200" width="200"><p><br></p><p>Quale è l'area di questo rettangolo?<br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$2ab$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$6ab$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4ab$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4b^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 230  -->
  <question type="multichoice">
    <name>
      <text>Area rettangolo  x 2x</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/b/b0/Rettangolox2x.png" alt="Triangolo rettangolo base 2a e altezza a mezzi" style="vertical-align:text-top; margin: 0 .5em;" class="img-responsive" height="200" width="200"><br></p><p>Quale è l'area di questo rettangolo?<br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$2x^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4x$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$6x$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4x^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 468  -->
  <question type="multichoice">
    <name>
      <text>Perimetro rettangolo  a 2b</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<img src="https://upload.wikimedia.org/wikipedia/commons/d/d4/Rettangolo2ba.png" alt="rettangolo di base 2b e altezza a" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" height="200" width="200"><p><br></p><p>Quale è il perimetro di questo rettangolo?<br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$4b+2a$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$6ab$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4ab$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4b$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 469  -->
  <question type="multichoice">
    <name>
      <text>Perimetro rettangolo  x 2x</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/b/b0/Rettangolox2x.png" alt="Triangolo rettangolo base 2a e altezza a mezzi" style="vertical-align:text-top; margin: 0 .5em;" class="img-responsive" height="200" width="200"><br></p><p>Quale è il perimetro di questo rettangolo?<br></p>]]></text>
<file name="QuadratoLatoa.png" path="/" encoding="base64">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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$6x$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2x^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4x$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4x^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Esagono area</text>
    </category>
    <info format="html">
      <text></text>
    </info>
  </question>

<!-- question: 231  -->
  <question type="multichoice">
    <name>
      <text>Area rettangolo a circoscritto ad esagono</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/3/31/RettangoloCircoscrittoEsagono.png" alt="" width="300" height="200">
 </p><p>L'area del rettangolo in figura è?</p>]]></text>
<file name="httpubuntuone.com3fNkzXCZyFqP72lsFc8fea" path="/" encoding="base64"></file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="moodle_auto_format">
      <text>13,856</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>1,732</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>3,464</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>6,928</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 232  -->
  <question type="multichoice">
    <name>
      <text>Area rettangolo a fianco di esagono</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/0/09/RettangoloAFiancoEsagono.png" alt="" width="300" height="200">
 </p><p>L'area del rettangolo in figura è?</p>]]></text>
<file name="httpubuntuone.com0Dm4aFfrtUuRvTNad9ZcVA" path="/" encoding="base64"></file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="moodle_auto_format">
      <text>3,464</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>1,732</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>0,866</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>6,928</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 233  -->
  <question type="multichoice">
    <name>
      <text>Area triangolo isoscele inscritto esagono</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/e/e4/TriangoloIsosceleInEsagono.png" alt="" width="300" height="200">
 </p><p>L'area del triangolo in figura è?</p>]]></text>
<file name="httpubuntuone.com1f4f7CLxa98wY09ukUfc54" path="/" encoding="base64"></file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="moodle_auto_format">
      <text>3,464</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>1,732</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>0,866</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>6,928</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Forze - Dinamica/Dinamica principi</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 236  -->
  <question type="multichoice">
    <name>
      <text>Azione e reazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Ad ogni azione corrisponde una reazione uguale e contraria<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>E' il terzo principio della dinamica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>E' una affermazione falsa<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Succede a volte negli urti dei corpi in moto<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 364  -->
  <question type="multichoice">
    <name>
      <text>Formula secondo principio della dinamica 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è la formula del secondo principio della dinamica?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ F = m \cdot a $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ F = \frac {m}{a} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ F = \frac {a}{m} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 380  -->
  <question type="multichoice">
    <name>
      <text>Inerzia 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il principio di inerzia?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Se non sottoposto ad alcuna forza un corpo sta in quiete o si muove di moto rettilineo uniforme.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Se non è sottoposto a nessuna forza un corpo può soltanto cadere<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Se non è sottoposta ad alcuna forza un corpo si muove di moto circolare uniforme<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 381  -->
  <question type="multichoice">
    <name>
      <text>Inerzia 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Inerzia?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Tendenza dei corpi a restare fermi o a mantenere il proprio moto.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[Tendenza dei corpi a cadere sempre più velocemente<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[Piccola quantità di moto<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 977  -->
  <question type="truefalse">
    <name>
      <text>Formula secondo principio della dinamica 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ F = \frac {a}{m} $$ è la formula del secondo principio della dinamica<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 978  -->
  <question type="truefalse">
    <name>
      <text>Formula secondo principio della dinamica 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ F = \frac {m}{a} $$ è la formula del secondo principio della dinamica<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 979  -->
  <question type="truefalse">
    <name>
      <text>Formula secondo principio della dinamica 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ F = m \cdot a $$ è la formula del secondo principio della dinamica<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Moto - Cinematica/Accelerazione - Moto uniformemte accelerato</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 237  -->
  <question type="multichoice">
    <name>
      <text>Caduta dei corpi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Sapendo che g = 9,8 m/s² è l'accelerazione di gravità. Trascurando l'attrito dell'aria. Un corpo partendo da fermo in caduta libera dopo 2 secondi raggiungerà la velocità di <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>19,6 m/s<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>29,4 m/s<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>9,8 m/s costante per tutta la caduta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 238  -->
  <question type="multichoice">
    <name>
      <text>Caduta dei corpi 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Sapendo che g = 9,8 m/s² è l'accelerazione di gravità. Trascurando l'attrito dell'aria. Un corpo partendo da fermo in caduta libera dopo 3 secondi raggiungerà la velocità di <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>19,6 m/s<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>29,4 m/s<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>9,8 m/s costante per tutta la caduta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 935  -->
  <question type="truefalse">
    <name>
      <text>Accelerazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[L'accelerazione è la variazione di velocità divisa per il tempo in cui si è verificata.<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 936  -->
  <question type="truefalse">
    <name>
      <text>Accelerazione 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[L'accelerazione è la variazione di velocità divisa per il pezzo di percorso in cui si è verificata.<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1001  -->
  <question type="truefalse">
    <name>
      <text>MUA 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Il moto uniformemente accellerato è il moto seguito dai corpi in caduta.<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Forze - Dinamica/Accelerazione e MUA</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 210443  -->
  <question type="multichoice">
    <name>
      <text>Accelerazione formula</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'accelerazione è la variazione di velocità nel tempo che in formula si scrive<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>\( a = \frac {(v_2-v_1)}{(t_2-t1)} \)<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>\( a = \frac {(s_2-s_1)}{(t_2-t_1)} \)<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>\( a = \frac {(t_2-t_1)}{(v_2-v_1)} \)<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 239  -->
  <question type="multichoice">
    <name>
      <text>Caduta e accelerazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>A causa delle forza di gravità gli oggetti, che non subiscono l'attrito dell'aria, sulla terra cadono seguendo un moto<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>uniformemente accelerato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>rettilineo uniforme<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>vario<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 395  -->
  <question type="multichoice">
    <name>
      <text>MUA</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il moto uniformemente accelerato degli oggetti che cadono è causato dal fatto<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>che il peso, cioè la forza di gravità, è costante<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>che il peso da una spinta iniziale e poi scompare<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>gli oggetti sulla terra non cadono con moto uniformemente accelerato , ma con moto rettilineo uniforme<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210444  -->
  <question type="truefalse">
    <name>
      <text>MUA definizione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se l'accelerazione è costante nel tempo si ha un moto uniformemente accelerato<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210445  -->
  <question type="truefalse">
    <name>
      <text>MUA definizione 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se l'accelerazione è costante nel tempo si ha un moto rettilineo uniforme<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210446  -->
  <question type="truefalse">
    <name>
      <text>MUA definizione 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un moto rettilineo uniforme è causato da una accelerazione costante nel tempo<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210447  -->
  <question type="truefalse">
    <name>
      <text>MUA definizione 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un moto uniformemente accelerato è causato da una accelerazione costante nel tempo<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Test uscita primaria ingresso media/Geometria test uscita primaria ingresso media</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 240  -->
  <question type="multichoice">
    <name>
      <text>Calcola area 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%">Quanto vale l'area della seguente figura</p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><img src="@@PLUGINFILE@@/Rettangolosettepertre.png" alt="rettangolo" width="246" height="131" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><span style="text-decoration: none"><br></span></p><br><p></p>]]></text>
<file name="Algebra1 stm fig003 ret.svg.png" path="/" 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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>21 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>20 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 241  -->
  <question type="multichoice">
    <name>
      <text>Calcola area 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%">Quanto vale l'area della seguente figura</p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><img src="@@PLUGINFILE@@/Rettangolosettepertre.png" alt="rettangolo" width="246" height="131" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><span style="text-decoration: none"><br></span></p><br><p></p>]]></text>
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pUiFT+hEwmB+/Y0dHRHrQtiC5Q/gi5PK2trY/SHgZs3aqiogJhyreoqqlFnD37+tWrC9HRKIqCPHxB6r1UbR3tsWPHQoDyOcrKyrHxl548To84fVpQ/BFmeahUanjYcY+FC2ExjkBgYmoasHVr9LnzaWlpIM+vhMfjhYedGGtrK5SvjhFWpthPOXD4UFRERN67PJDnl1FXW5fx9Ol6X19ZWVkISgHC0clplouLt6dnaUmJKMqDsuhlZfXM32e9cB6zq7L444ei0kYqE/v9f7GaPpd++Pipkdrzk27sypXLllaWZmZmEI6CBYlE8vL2dl8wPygwkN93/vyMQ36b8m46zdhfycNxHOcwmiM2LrQyM7UwNR9ju+JFNR3DsXfXD061MrcwNRtjvzq9phvr6wuoq6sba23z8cMHODxaQGGz2evXrpsze3ZXV9evuob+PquaQyk9tnuTz7qQ0gbGlyRDLX+aWq95IzvvXe4jP5OiqwmZ7K686JicFVH3cnNf7LRnhu5OpLCxP76hq7n6Y21bQ2n+04yXFY3UjqaKl0/Tc95XsbCvXb7B4XCOHz02zs7OQOhe9Cc6SEhI7Ny9i4AjO4ODu//h2MRfRh+XoUiyatPneI3SH7Qn4vf+GI7gGA/l4QiCY1wuShQndeY/+ixrFDx0IFFcbPyMiSF302raFw3SkPry+cLk6J0pxYbqOjK8muIWCTllRV01iZKPdeODzwVOVPuaU1OKP316npGRdPMGnO8h0AwaNCjq/LlNGzeeOnUqODhY+Mc8pAHyxmbmo4ZpS5B+j3OloROnqpTMGTtt5gzXPc+057iNplaXi5FlyeIkBCFKySqgnNY2GvNfVTI2s4s5evvpE+GngzSbmn/z2Xrs6JHVloo37n34yuHRpUuX3Oa7GxkZQfwJgT8BW7c+Tnt44Xw0l/92nv7sahtW9+Z2Dtf4xIXwI2FHAmexEy+n9vKwv+Q+ogRZ/C/bOaTsRmtJEQlS8sqKkoNVZBACgSwmhnF4X/P3ysrKPhUVeXl7Q+QJB6ampvsPHoiPv/To0SMh77b95wCk7NUzRePl9lbGCIIb8iadP1AgYzMUZdHYXAxBCPSONoysOUh+wF+ElhD/vr1RXC43OChowoSJGhoaEHbCAZFItBs/Pmj79s1+m9Q1NMzMzPhnR9bPvg5xnZHGjflvCmqp9I66tAev9HSNNW2cjdjlaW8qu7vqbyVlqI+bo6PUB4MTHMcfP3r0vqBwsbcXHCslZEyxt98UsNnP1/fD+/dCnnkIJDEpKTIRQRCENMxh3axXvl7Tx2EIQlKZGJHgLqMkt3qt/bog95M9PDkLz8vRTgp/Oj6VJEGWkvgS+kSylJQYkYAgCIk8QJr8D5fK4XDu3LodEBioo6MD0SZkkMnkFStXtlPaQ3bviY2/pKCgwA9X1S9nVWPs9obGTi5pkKaW/BencJRBaWqmY4M11eUG9M02m9fZ2YcPHky4ehWWFAgrjO7u3bt2NTe3HD8Rpqam9rP/nKi8DZvD4Tg5OHgsXLhk6VI4pUBYwXGcxWItXLBAX3/osbDjv1weYYgzDMOSrib29vQ6OjqCOUIMgUCQlJQ8ExlZUVEesnsPk8kU7oJBf0Cn0+8mJ/v6bRysqgoRJvSoq6vvO3Ag4dKlS3Fxv3bnjzDI8zLrJY7jc1xd4b28IpJ/jI2Nb91NvpZ07cmTJ7/QH4GXp6en58jBg8t8lsNphiKFiYnJ5oDNu4J3ZGRk/KprEOwtliiKRp87JyMnO87ODuJJ1PLPDAeHhoaG8ONhmhqaw0cMh8zzbbQ0Nz+4f3/tunWKiooQT6KGmJjYipUrJ0+Z7L9xY11dHcjzbaSnpxsOM5rp7AyRJJqQSKR1GzYoq6hsWLuOQqGAPF+ddlpariclLVjoATEkykhKSp6KOKOppblrx45+fmeJoMqDYdjxY8dkZeXMzc0hgEQcJSWloODg2tq60JAQFosF8vwDZaWlWS9e+PlvkpaWhugBpKSkRowYnppyLz8/v/8GXQLaWGlpaTMcHMfa2kLcAIWFhWtWrSIgSGxCvKmpKcjzd5SXlz9++Oh4+AmIG1EGRdGSkpK4mNjS0hIPD4/FXl6KSkr9eQGCJw+Px9sXGqqtrW1gYAABJLLgOH70yJFrVxMdZzpdjI0dOHBg/y9rFDx58t69Ky8tPX/xIiwpEE0YDMaT9PQzp09ra+tEnDtrbW39q45TFjx57qWkzPfwGDVqFISRqIFhWFFRUYDfJh7K27Z9+1hbWxkZmV+4oFHA5CkuLs7Pz4+JjYWtB6I2vGlsbEy6mvgk/bGN7dj1GzYMHjz4l1+VIMnDYrH8NvhOmDhBZeBAiCfRgcPhxF6MuZaUZGZufiwsbOSoUXxyRoXAyIPjeFZWVmtLi6eXF7wyRERgs9kFBQX79u5FUdR/S8DMmTP56vIEJgo5HM71xCTfTX5DhgyBqBJ6cBwvLi6OOHW6qrrK1dV1tqsrH77bT2DkyX37tqamJur8OQgsodemq7MzOTk5+vz5UaNGxV++PGjQIP68VMGQp7u7e/++/fM9FsCBbELfT7ufmno5PkFZRWXf/v0TJk7k5y66AMiD4/ijhw9bWlpc586FjdbCCoZhDfX1vus3VH3+vHPP7nnu7vx/zQIgT2dn59XLl3fu3qXUv4svgH6jqqrqxrVr91JSZjg4nomK1NTUFIjLFgB5Xjx/Li4h4eLiAkEmfPB4vOQ7ySG7dlnZWCdcuaqtoy1APXN+l6ezszPyTMSqNathtCNksFist2/exF+6RKfRd+8NmensPGDAAMG6BX6X50pCAsrjTZ8xA6JNmKBSqcFBQS8zszb6b3KdO1dBQUEQl4zw9RXX1dUlJyfv2L0bjp8WGlpbWy/FxU20syORxO7eT/VZsUJJSUlAF1vxdeZ5+CBtiM6QCRMnQMwJAVwu90l6+skT4UpKSjFxcaOMjSUlJQX6jvhXHgqFcu1a0t7QUFiMIwTaVFZWRp2JeP++cJmPzzx3dykpKSG4Lz6NSxRFoyIjdYYMMbewgOATaCgUyoXz5+/eSZ7vscDPf5Oevr7Q3BqfylNaUvLwQdrJM6eF4xElguA4zuztzcjICA3Zq6mpGRN/acSIEUJ2j3wqT8rdFGtrawtIO4IJhmGZL15ciotjMBjbgoJ+mz5NRkZG+G6TH+WhUCh3bt++duM6zO0IYsKhUqmHDhxITbm3ztd35aqVQrxbnh/lycrMJBAIue/eqWtokMlkiEhBoaOj41piYsrdFBNT08Tr10xMTYV7wy8/vlYRRdHMzMxtAVtMzc0OHDrEhxs5gP8kOzt7R9D2rs7O8xcvmFtYCEGvQYDfSVpdXX0uKurjx4/z3N3nurnBPCnfkp+Xdy0p6V3uO/cF8xd7eQlNjUewX+jL4XAyMzP37NxpYDjs0JHD/HDmA/Bn6HT68aNHHz185DJn9pIlSwYNHixMw1RheBt2c3Pz8aPHMjKebtsWNHOWMxSv+aEqQKfTM54+jY+Lk5SUWrth/ZgxY4RvLltIXiXPZDLfvn179NBhBMfDz5weOnQoRPAvpKCg4EDovqampuCdOyZMnCiUZWjhkecLHR0doSEhZaWly3x8fps2TV5eHjaW9icYhtXV1SUlJt69kzxt+rSArVuFeyAqVPIgCIKiaFZWVmhIiKaGxuatW01MTCCm+4eenp7Y2NiUO8kmpqYrVq3U09MTFxcX7lsWNnm+wGKx9u3de/dO8tagbbNcXOTl5SG4f2prv3//fs+uXYzu7oOHD48ZO1ZEluoKpzwIgrDZ7JdZWdHnzpNIxICtW01MTWE5ws/I86WlpRejoz9+/LjI09PRyYlvT4H6JfII6gQwmUy2nzr1QmzM8JEjfZYui790ic1mC+iDgA/BcZzJZF44H73YYyGHy026fn3J0qUiZc7XQBD0gOPxeLm5uadOhEvLSHt6eU2YMAHOgP/xrH7n9u2kxER5eYXlPj6242xFc0vVP2YeBBd8MAxjMplno6KGDtE9dPDglxQEfB9VVVVTJk0yNzF9/PgxiqIYholsU3C53L//AEFoujoYhn0ZBXE4nPUbfW1tbWEU9E2tV1NTcyUh4XX2a0srS5+VK7W0tER8JkBoCwZ/01OPi4m5cD7aebbLtqAgQd8l328kxMefjYw0MDAM3rVTX18fur4iJ88fNaK8vLwTx46LiYutWr3a2sYGXsD4v+BwONmvXp0/e47NZnstXeLg4ABtJdLyfKG7u/ve3ZTDhw7NnOW8LSgIFmX/J7W1tUGBgU2NTUt9ls+cOVNRUfHHEw7K7m6ncQcNUiKIgDxCm51lZWUXei66ei2pvrbOzdX12bNnXC4XhPnSuaVQKLExMYsXLlRQVLwQG+Pt7a2srPyD5uAYtz77+ur5c+e5evhfyKFzMaFvSYLQz410dXXdTU6+knDZzNzMPyBAVVVVlM3hcrkP7j84FxU1SHXwihUrLK2sfnyvLsZjVhW8yi1tev6kcNK61ZZoge+yMx6xSZ42GkRBTkAiUar+GoqLi6dOnuwy0/nt27dMJlMEC68cDqe0pGTFcp/xtrZxsbH/WIf9qkkClEunUnNTTznbT5k6zspoemAdD8Oxnrfhnq6rwjpYXOEuVSOiEz10Oj0xMXHKpEnB27e3tbWJlDmNjY27duwYN2bs4YMH6+vqUBTtm/Dqqj6ydJGzx4qMkrbOmpxljq6Hn9XzcJxHL9voPudwRg0G8ggTVCp1mfeSYfpDn6Snczgcob9fBoORkpJiZ2vr5jq3trb2u78H5XG6u6jtVBqLw/tT6mF9ive1/m1xYSMDx1i5cVssrbcUtbNwDC28cXjc3MhGLibE8gj/mOc/odPpD+7fv3r5yhDdIX7+/np6ekJ5m2w2O/vVq0uxcWwOZ4HHAnt7e5nvLTnirOZbJ8PSSprpXUxV69nBmxepkn+vLuDMmkNr/bkzd+yca44zqo6vWNE1LWT/UjuU2UtDyEqSYjDm4d+FORiGsX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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>21 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>20 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 242  -->
  <question type="multichoice">
    <name>
      <text>Calcola area 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%">Quanto vale l'area della seguente figura</p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><img src="@@PLUGINFILE@@/TriangoloMisure.png" alt="Triangolo" width="210" height="193" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><span style="text-decoration: none"><br></span></p><br><p></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>12 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>24 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 243  -->
  <question type="multichoice">
    <name>
      <text>Calcola area 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%">Quanto vale l'area della seguente figura</p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><img src="@@PLUGINFILE@@/TriangoloMisure.png" alt="Triangolo" width="210" height="193" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><span style="text-decoration: none"><br></span></p><br><p></p>]]></text>
<file name="Algebra1 stm fig003 ret.svg.png" path="/" 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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>12 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>24 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10 cm²</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 244  -->
  <question type="multichoice">
    <name>
      <text>Calcola percorso</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%">
<span lang="it-IT"><span style="text-decoration: none"><span style="font-weight: normal">Marta
si allena correndo quattro </span></span></span>volte
attorno al percorso qui sotto. Quanto è lungo il suo allenamento in
chilometri? <span style="text-decoration: none">Scegli la risposta corretta</span></p><p class="western" align="justify" style="margin-bottom: 0cm; line-height: 150%"><span style="text-decoration: none"><img src="@@PLUGINFILE@@/PercorsoPerimetro.png" alt="Percorso perimetro" width="276" height="218" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></span></p><br></p>]]></text>
<file name="PercorsoPerimetro.png" path="/" 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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>5,040 km</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: &quot;open sans&quot;, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); display: inline !important; float: none;">5040 km</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1260 km</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 245  -->
  <question type="multichoice">
    <name>
      <text>Calcola percorso</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p class="western" style="margin-bottom: 0cm; line-height: 150%;" align="justify"><span lang="it-IT"><span style="text-decoration: none;"><span style="font-weight: normal;">Marta si allena correndo quattro </span></span></span>volte attorno al percorso qui sotto. Quanto è lungo il suo allenamento in chilometri? <span style="text-decoration: none;">Scegli la risposta corretta</span></p>
<p class="western" style="margin-bottom: 0cm; line-height: 150%;" align="justify"><span style="text-decoration: none;"><img class="img-responsive" style="vertical-align: text-bottom; margin: 0 .5em;" src="@@PLUGINFILE@@/PercorsoPerimetro.png" alt="Percorso perimetro" width="276" height="218" /><br /></span></p>]]></text>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Risposta corretta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Risposta parzialmente esatta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Risposta errata.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1,260 km</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: #333333; font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; display: inline !important; float: none;">5040 m</span></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,980 km</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 375  -->
  <question type="multichoice">
    <name>
      <text>Geometria solida 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quante facce ha un cubo?</p><p><img src="@@PLUGINFILE@@/RubikFinal.jpg" alt="Cubo di Rubick" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" width="256" height="211"><br></p>]]></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>4<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>8<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 376  -->
  <question type="multichoice">
    <name>
      <text>Geometria solida 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quante facce ha un cubo?</p><p><img src="@@PLUGINFILE@@/RubikFinal.jpg" alt="Cubo di Rubick" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" width="256" height="211"><br></p>]]></text>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>4<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>8<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 471  -->
  <question type="multichoice">
    <name>
      <text>Poligono 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è il nome di questo poligono?</p><p><img src="https://upload.wikimedia.org/wikipedia/commons/f/f3/Trap%C3%A9zio.PNG" alt="Poligono con due lati paralleli" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" width="156" height="75"><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Trapezio<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Parallelogramma<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Rombo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Parallelepipedo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 472  -->
  <question type="multichoice">
    <name>
      <text>Poligono 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è il nome di questo poligono?</p><p><img src="https://upload.wikimedia.org/wikipedia/commons/f/f3/Trap%C3%A9zio.PNG" alt="Poligono con due lati paralleli" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" width="156" height="75"><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Trapezio<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Parallelogramma<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Rombo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Parallelepipedo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Calcolare costi, prezzi al kg o al l e pesi</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Calcolare costi, prezzi al kg o al l e pesi/Calcolare costo di una quantità</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 246  -->
  <question type="multichoice">
    <name>
      <text>Calcolare costo 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quanto costano 3 kg di fagioli?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>10,50 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1,30 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 247  -->
  <question type="multichoice">
    <name>
      <text>Calcolare costo 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quanto costano 3 hg di prosciutto?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>7,65 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2,55 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>76,50 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 248  -->
  <question type="multichoice">
    <name>
      <text>Calcolare costo 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quanto costa mezzo kg di prosciutto?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>12,75 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>51 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Calcolare costi, prezzi al kg o al l e pesi/Calcolare peso dato costo e prezzo</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 249  -->
  <question type="multichoice">
    <name>
      <text>Calcolare peso da prezzo/udm e costo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quanti kg di fagioli posso acquistare con 5,25 €?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1,5 kg <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2 kg <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,5 kg<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 250  -->
  <question type="multichoice">
    <name>
      <text>Calcolare peso da prezzo/udm e costo 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quanti hg di prosciutto posso acquistare con 15,30 €?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>6 hg <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>12 hg <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,5 kg<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 251  -->
  <question type="multichoice">
    <name>
      <text>Calcolare peso da prezzo/udm e costo 2 (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quanta pasta acquisto spendendo 1,20 €? <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>750 g<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1 kg<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5 hg<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Calcolare costi, prezzi al kg o al l e pesi/Calcolare prezzo per udm</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 252  -->
  <question type="multichoice">
    <name>
      <text>Calcolare prezzo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quale è il prezzo del detersivo al litro?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1,20 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>12 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 253  -->
  <question type="multichoice">
    <name>
      <text>Calcolare prezzo 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quale è il prezzo/kg della pasta?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1,60 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1,20 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>40 centesimi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 254  -->
  <question type="multichoice">
    <name>
      <text>Calcolare prezzo 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/fc/ListaPrezziCostiPerMoodle.jpg" alt="Prosciutto 25,50 €, pasta 250g 0,40 €, detersivo 1,5 l 1,80 €, fagioli 3,50 €/kg, 6 figurine 2,40 €" class="img-responsive atto_image_button_text-bottom" width="400" height="284"></p><p>Quale è il prezzo di una figurina?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>40 centesimi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>60 centesimi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2,40 €<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Test uscita primaria ingresso media/Calcoli sistema decimale uscita primaria ingresso media</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 255  -->
  <question type="multichoice">
    <name>
      <text>Calcoli decimali correggere</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale delle seguenti operazioni è sbagliata?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Risposta corretta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Risposta parzialmente corretta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Risposta errata.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>3,6 : 10 = 36</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3,6 x 10 = 36</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>36 : 10 = 3,6</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>36 : 100 = 0,36</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 317  -->
  <question type="multichoice">
    <name>
      <text>Divisione decimale 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Calcola 25,25 : 100 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Risposta corretta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Risposta parzialmente corretta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Risposta errata.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,2525</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2,525</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2500,25</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>2525</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 318  -->
  <question type="multichoice">
    <name>
      <text>Divisione decimale 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Calcola 37 : 1000 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Risposta corretta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Risposta parzialmente corretta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Risposta errata.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,037</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,37</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>37000</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>370</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 413  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione decimale 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Calcola 5,8 x 10 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Risposta corretta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Risposta parzialmente corretta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Risposta errata.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>58</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5,80</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>580</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>50,80</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 414  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione decimale 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Calcola 10 x 0,10 =</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Risposta corretta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Risposta parzialmente corretta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Risposta errata.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,01</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Potenze/Algebra delle potenze/RM-Deduzioni dall'algebra delle potenze</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 257  -->
  <question type="multichoice">
    <name>
      <text>Calcoli veloci a partire ad una potenza data</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se $$2^9 = 512$$ allora $$2^8 = ?$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>256 <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1024<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>16<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>64<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 258  -->
  <question type="multichoice">
    <name>
      <text>Calcoli veloci a partire ad una potenza data 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se $$2^9 = 512$$ allora $$2^{10} = ?$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1024<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>256<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>20<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5120<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 259  -->
  <question type="multichoice">
    <name>
      <text>Calcoli veloci a partire ad una potenza data 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$La \ metà \ di \ 2^{14} \ è?$$ <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$2^{13}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2^7$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$1^{14}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$1^7$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 260  -->
  <question type="multichoice">
    <name>
      <text>Calcoli veloci a partire ad una potenza data 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$ Il \ doppio \ di \&nbsp; 2^{14} \&nbsp; e'? $$ <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$2^{15}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2^{28}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4^{14}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4^{28}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Misura/Tempo</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 211297  -->
  <question type="multichoice">
    <name>
      <text>Misurare tempo trascorso 01 (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La partita è cominciata alle 15.10, l'orologio segna le 15.37 a che minuto siamo del primo tempo?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text>17</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>27</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>7</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>37</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211298  -->
  <question type="multichoice">
    <name>
      <text>Misurare tempo trascorso 02 (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La partita è cominciata alle 14.45 e siamo al 22° del primo tempo. Che ore sono?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>15.07</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>15.22</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>14.57</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>15.17</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 211299  -->
  <question type="multichoice">
    <name>
      <text>Misurare tempo trascorso 03 (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La partita è cominciata alle 20.30 e siamo al 32° del primo tempo. Che ore sono?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>21.02</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>21.32</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>20.32</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>20.62</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Calore e temperatura/Calore, materia, massa e temperatura</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 268  -->
  <question type="multichoice">
    <name>
      <text>Calore specifico</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il calore specifico di una sostanza è<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>la quantità di calore necessaria per far aumentare di 1°C la temperatura di 1 g di una sostanza, si misura in calorie<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>l'aumento di temperatura misurata in °C rilevato riscaldando per un 1 secondo 1 g dei una sostanza, si misura in calorie<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>il tempo necessario in secondi per aumentare di 1°C la quantità di 1 g di una sostanza, si misura in calorie<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210070  -->
  <question type="truefalse">
    <name>
      <text>Massa e temperatura</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><br></p><p>L'aumento della temperatura prodotto in una sostanza dal riscaldamento&nbsp; dipende dalla sua massa.</p><p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/1/1a/Small_items_in_Commons_Life_of_2019_Spring_8.jpg/1024px-Small_items_in_Commons_Life_of_2019_Spring_8.jpg" alt="pietanza calda" class="img-responsive atto_image_button_middle" width="300" height="225"><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210071  -->
  <question type="truefalse">
    <name>
      <text>Massa e temperatura 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><br></p><p>L'aumento della temperatura prodotto in una sostanza dal riscaldamento non dipende dalla sua massa ma soltanto dalla potenza del fornello.</p><p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/1/1a/Small_items_in_Commons_Life_of_2019_Spring_8.jpg/1024px-Small_items_in_Commons_Life_of_2019_Spring_8.jpg" alt="pietanza calda" class="img-responsive atto_image_button_middle" width="300" height="225"><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1343  -->
  <question type="truefalse">
    <name>
      <text>Temperatura e agitazione termica 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Temperatura e agitazione termica diminuiscono insieme.<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1344  -->
  <question type="truefalse">
    <name>
      <text>Temperatura e agitazione termica 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quando la temperatura diminuisce l'agitazione termica aumenta.<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1056  -->
  <question type="truefalse">
    <name>
      <text>Temperatura e calore</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Temperatura e calore sono la stessa grandezza<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1057  -->
  <question type="truefalse">
    <name>
      <text>Temperatura e calore 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Temperatura e calore non sono la stessa grandezza<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Calore e temperatura/Calore, materia, massa e temperatura/Trasmissione del calore</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 212058  -->
  <question type="ddimageortext">
    <name>
      <text>Trasmissione calore 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Completa la mappa<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
        <file name="TresmissioneCalore_504x400.png" 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</file>

    <drag>
      <no>1</no>
      <text>solidi</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>liquidi e gas</text>

      <draggroup>2</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>vuoto</text>

      <draggroup>3</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>conduzione</text>

      <draggroup>2</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>convezione</text>

      <draggroup>3</draggroup>
    </drag>
    <drag>
      <no>6</no>
      <text>irraggiamento</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>54</xleft>
      <ytop>123</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>133</xleft>
      <ytop>178</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>236</xleft>
      <ytop>235</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>4</choice>
      <xleft>24</xleft>
      <ytop>234</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>5</choice>
      <xleft>133</xleft>
      <ytop>293</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>6</choice>
      <xleft>208</xleft>
      <ytop>347</ytop>
    </drop>
  </question>

<!-- question: 267  -->
  <question type="multichoice">
    <name>
      <text>Calore e materia trasmessi insieme</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è la modalità di trasmissione del calore che avviene attraverso il movimento della materia?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Convezione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Conduzione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Irraggiamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>Scifocusacap3</text>
</tag>
    </tags>
  </question>

<!-- question: 1355  -->
  <question type="multichoice">
    <name>
      <text>Conduttori ed isolanti 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di questi materiali è un conduttore di calore?</p><p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Legno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Argento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Plastica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1354  -->
  <question type="multichoice">
    <name>
      <text>Conduttori ed isolanti 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di questi materiali è un isolante e non permette il passaggio di calore?</p><p><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Legno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Argento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Ferro<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 884  -->
  <question type="multichoice">
    <name>
      <text>Termosifone</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Termosifone_%286%29.jpg/768px-Termosifone_%286%29.jpg" alt="Termosifone" class="img-responsive atto_image_button_text-bottom" width="300" height="400"><br></p><p>Il riscaldamento di una stanza con un termosifone avviene per&nbsp; <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Convezione dell'aria<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Conduzione nelle pareti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Ebollizione dell'acqua<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1349  -->
  <question type="multichoice">
    <name>
      <text>Trasmissione del calore 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è la modalità di trasmissione del calore che avviene nei solidi senza il movimento della materia?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Convezione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Conduzione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Irraggiamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1350  -->
  <question type="multichoice">
    <name>
      <text>Trasmissione del calore 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è la modalità di trasmissione del calore che avviene nei metalli senza il movimento della materia?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Convezione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Conduzione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Irraggiamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1351  -->
  <question type="multichoice">
    <name>
      <text>Trasmissione del calore 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è la modalità di trasmissione del calore che può avvenire nel vuoto, come ad esempio il calore trasmesso dal sole alla terra?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Convezione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Conduzione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Irraggiamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 889  -->
  <question type="multichoice">
    <name>
      <text>Trasmissione senza materia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale è la modalità di trasmissione del calore che non necessita della presenza di materia?<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Irraggiamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Conduzione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Convezione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1352  -->
  <question type="truefalse">
    <name>
      <text>Radiazioni</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Tutti i corpi caldi emettono radiazioni infrarosse<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1353  -->
  <question type="truefalse">
    <name>
      <text>Radiazioni 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/b/ba/Center_of_the_Milky_Way_Galaxy_I_%E2%80%93_Spitzer_%28Infrared%29.jpg/1024px-Center_of_the_Milky_Way_Galaxy_I_%E2%80%93_Spitzer_%28Infrared%29.jpg" alt="galassia agli infrarossi" class="img-responsive atto_image_button_text-bottom" width="400" height="191"><br></p><p>Riscaldandosi i corpi smettono di emettere radiazioni infrarosse<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Stati della materia/Causa dei passaggi di stato</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 269  -->
  <question type="multichoice">
    <name>
      <text>Causa del brinamento</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/af/Brina_ingrandimento.jpg/1024px-Brina_ingrandimento.jpg" alt="brina" width="400" height="300" class="img-responsive atto_image_button_text-bottom"><br></p><p>Il brinamento è causato dal<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>raffreddamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>riscaldamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>sommovimento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 270  -->
  <question type="multichoice">
    <name>
      <text>Causa dell'evaporazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/96/Nuvole.jpeg/768px-Nuvole.jpeg" alt="Nuvole" width="350" height="467" class="img-responsive atto_image_button_text-bottom"><br></p><p>L'evaporazione è causata dal<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>riscaldamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>raffreddamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>brinamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 271  -->
  <question type="multichoice">
    <name>
      <text>Causa della fusione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/db/The_melting_glacier_1_-_panoramio.jpg/1024px-The_melting_glacier_1_-_panoramio.jpg" alt="Ghiacciao fondente" class="img-responsive atto_image_button_text-bottom" width="400" height="267"></p><p>La fusione è causata dal<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>riscaldamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>raffreddamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>brinamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 272  -->
  <question type="multichoice">
    <name>
      <text>Causa della solidificazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/2/20/Campana_-_Museo_scienza_tecnologia_Milano_15722.jpg/1024px-Campana_-_Museo_scienza_tecnologia_Milano_15722.jpg" alt="Campana" width="400" height="267" class="img-responsive atto_image_button_text-bottom"><br></p><p>La solidificazione è causata dal<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>raffreddamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>riscaldamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>brinamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 273  -->
  <question type="multichoice">
    <name>
      <text>Causa della sublimazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/af/Brina_ingrandimento.jpg/1024px-Brina_ingrandimento.jpg" alt="brina" width="400" height="300" class="img-responsive atto_image_button_text-bottom"><br></p><p>La sublimazione avviene a causa del<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>riscaldamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>raffreddamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>brinamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Calcolo letterale/ProdottoMonomioPolinomio</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 274  -->
  <question type="multichoice">
    <name>
      <text>Coefficiente Lettera per binomio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$3a(2a+3b) = $$</span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);"><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$6a^2+9ab &nbsp;$$</span></span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$6a^2+3b $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$9a^3 $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$6a+9b &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 275  -->
  <question type="multichoice">
    <name>
      <text>Coefficiente Lettera per binomio solo x</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$2x(2x+3) = $$</span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$4x^2+6x $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$(8x+6) &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$2x+6x = 8x$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$4x+6 &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 896  -->
  <question type="multichoice">
    <name>
      <text>Una Lettera Per Binomio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$a(3ab+2b) = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$3a^2 b+2ab $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$3a^2+2a &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$3a^2 b+2b $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$3b+2b $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Muscoli e tessuto muscolare/RM-Muscoli e tessuto muscolare</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 276  -->
  <question type="multichoice">
    <name>
      <text>Collegamento muscoli scheletrici</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Ogni muscolo scheletrico è collegato alle ossa tramite?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>I tendini<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Le cartilagini<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il perimisio<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 277  -->
  <question type="multichoice">
    <name>
      <text>Colore dei muscoli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il colore rosso dei muscoli è dovuto alla presenza ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>della mioglobina<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>del perimisio<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dei nuclei delle cellule in superficie<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 428  -->
  <question type="multichoice">
    <name>
      <text>Muscoli del braccio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<img src="https://upload.wikimedia.org/wikipedia/commons/3/30/Animation_triceps_biceps.gif" alt="Contrazione e rilassamento dei muscoli del braccio" style="vertical-align:middle; margin: 0 .5em;" class="img-responsive" height="409" width="300"><p>Il movimento del braccio?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il braccio si piega quando il bicipite, muscolo anteriore, si contrae e il tricipite, muscolo posteriore, si rilassa.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il braccio si piega quando il bicipite, muscolo posteriore, si contrae e il tricipite, muscolo anteriore, si rilassa.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il braccio si estende quando il bicipite, muscolo anteriore, si contrae e il tricipite, muscolo posteriore, si rilassa.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>I muscoli bicipite, anteriore, e tricipite posteriore, si devono contrarre per far piegare il braccio.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 887  -->
  <question type="multichoice">
    <name>
      <text>Tessuto muscolare</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il tessuto muscolare è costituito da due tipi di tessuti?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Dal tessuto muscolare striato e dal tessuto muscolare liscio<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Dal tessuto cartilagineo e dal tessuto muscolare liscio<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Dal tessuto tendineo e dal tessuto cartilagineo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/Espressioni con le frazioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 279  -->
  <question type="multichoice">
    <name>
      <text>Completa addizione numeratore mancante 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli il numeratore mancante, che si deve mettere al posto del punto interrogativo<br></p><p>$$\frac{1} {3} + \frac{3} {4} = \frac{?+9} {12}$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$4$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$1$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$3$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 280  -->
  <question type="multichoice">
    <name>
      <text>Completa addizione numeratore mancante 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli il numeratore mancante, che si deve mettere al posto del punto interrogativo<br></p><p>$$\frac{1} {4} + \frac{3} {2} = \frac{1+?} {4}$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$6$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$1$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$3$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 812  -->
  <question type="multichoice">
    <name>
      <text>Scegli il passaggio corretto 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli il passaggio corretto per proseguire con il calcolo<br></p><p>$$\frac{1} {3} + \frac{3} {4} \cdot \frac{2} {5}= $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{1} {3} + \frac{3} {10} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{4 + 9} {12}&nbsp; \cdot \frac{2} {5}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{1 + 3 \cdot 2} {12}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{2} {15} + \frac{6} {20} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 813  -->
  <question type="multichoice">
    <name>
      <text>Scelta denominatore 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli il denominatore corretto, che si deve mettere al posto del punto interrogativo<br></p><p>$$\frac{2} {3} + \frac{3} {2} = \frac{4+9} {?}$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$6$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$5$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$3$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 814  -->
  <question type="multichoice">
    <name>
      <text>Scelta denominatore 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli il denominatore corretto, che si deve mettere al posto del punto interrogativo<br></p><p>$$\frac{1} {3} + \frac{7} {6} = \frac{2+7} {?}$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$6$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$9$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$3$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Luce e colore</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Luce e colore/Comportamento dei raggi di luce</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 281  -->
  <question type="multichoice">
    <name>
      <text>Comportamento della luce</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La visione della propria immagine in uno specchio è dovuta al fenomeno della<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>riflessione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>rifrazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>tralucidità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 282  -->
  <question type="multichoice">
    <name>
      <text>Comportamento della luce 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un raggio luminoso colpendo una superficie non levigata subisce il fenomeno della <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>riflessione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>rifrazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>diffusione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Misura/Confronto misure</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 285  -->
  <question type="multichoice">
    <name>
      <text>Confronto lunghezze</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli la giusta relazione<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1001 m &lt; 1,01 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1001 m &gt; 1,01 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1001 m = 1,01 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>ContaciGEOCap1</text>
</tag>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 291  -->
  <question type="multichoice">
    <name>
      <text>Confronto pesi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli la giusta relazione<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>450 g &gt; 0,05 kg<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>450 g &gt; 0,5 kg<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>450 g = 0,45 dag<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 284  -->
  <question type="multichoice">
    <name>
      <text>Confronto Volumi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli la giusta relazione<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>100 l &lt; 1 m³<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>100 l = 1 m³<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>100 l &gt; 1 m³<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Test uscita primaria ingresso media/Sistema numerazione test uscita primaria ingresso medie</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 286  -->
  <question type="multichoice">
    <name>
      <text>Confronto numeri</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale dei seguenti numeri è il più grande?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>110,001<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>11,001<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>101,01<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,1111<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 290  -->
  <question type="multichoice">
    <name>
      <text>Confronto numeri 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale è il numero più piccolo?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Risposta corretta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Risposta parzialmente corretta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Risposta errata.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>3,033</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3,33</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3,303</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3,300</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 301  -->
  <question type="multichoice">
    <name>
      <text>Decine, centinaia, migliaia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale dei seguenti numeri è costituito da 10 decine e 10 unità?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>110<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>100<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1010<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1100<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 302  -->
  <question type="multichoice">
    <name>
      <text>Decine, centinaia, migliaia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale dei seguenti numeri è costituito da 10 decine e 10 unità?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>110<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>100<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1010<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1100<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 303  -->
  <question type="multichoice">
    <name>
      <text>Decine, centinaia, migliaia 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale dei seguenti numeri è costituito da 10 centinaia e 10 unità?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1010<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1000<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1110<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1100<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 304  -->
  <question type="multichoice">
    <name>
      <text>Decine, centinaia, migliaia 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale dei seguenti numeri è costituito da 10 centinaia e 10 unità?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1010<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1000<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1110<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1100<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 473  -->
  <question type="multichoice">
    <name>
      <text>Posizione cifre</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Nel numero 243576198 quale è la cifra delle decine di migliaia? <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>7<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 474  -->
  <question type="multichoice">
    <name>
      <text>Posizione cifre</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Nel numero 243576198 quale è la cifra delle decine di migliaia? <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
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    <answer fraction="100" format="html">
      <text><![CDATA[<p>7<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>5<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Fenomeni endogeni della terra/Tettonica a placche 1 punto</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 296  -->
  <question type="multichoice">
    <name>
      <text>Cosa spiega la tettonica a placche 1 punto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La teoria della tettonica a placche spiega la struttura <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>della crosta terrestre<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>del mantello<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>del nucleo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 350  -->
  <question type="multichoice">
    <name>
      <text>Dorsali oceaniche come si comportano i margini?</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In corrispondenza delle dorsali oceaniche i margini delle placche si <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>allontanano<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>avvicinano<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>eliminano<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 888  -->
  <question type="multichoice">
    <name>
      <text>Tettonica 1 punto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/3/3b/Tectonic_plates_%28empty%29.svg" alt="Ampie zone colorate attorno ai diversi continenti" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" width="400" height="271"><br></p><p>A cosa corrispondono le zone colorate diversamente nell'immagine?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>alle placche <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>alle acque territoriali<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>alla presenza di vulcani<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Scheletro e ossa/RM-Scheletro e ossa</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 297  -->
  <question type="multichoice">
    <name>
      <text>Cranio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<img src="https://upload.wikimedia.org/wikipedia/commons/6/6e/Human_skull_side_simplified_%28bones%29.svg" alt="Teschio Skull" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive" height="156" width="200"><p>Il cranio<br></p>]]></text>
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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>è formato da ossa strettamente saldate tra loro funzione per la protezione del cervello<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>è formato da ossa che contengono molta cartilagine per essere sufficientemente elastiche e contenere il cervello in crescita<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>è fatto di ossa rigide ma che hanno possibilità di movimento le une rispetto alle altre<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 382  -->
  <question type="multichoice">
    <name>
      <text>Interno delle ossa</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>All'interno delle ossa si trova?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il midollo osseo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il vuoto<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il muscolo striato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 809  -->
  <question type="multichoice">
    <name>
      <text>Rivestimento osseo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il tessuto osseo è rivestito da...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>una sottile membrana, periostio, sotto la quale può essere fabbricato il tessuto per accrescere l'osso.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un rivestimento calcificato, calciostio, utile per rendere l'osso più duro.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un muscolo, il tessuto liscio, adatto per potenziare il movimento.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Triangoli/Criteri di congruenza</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 298  -->
  <question type="multichoice">
    <name>
      <text>Criteri di congruenza 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/e/e5/TriangoliPrimoCriterioMisure.png" alt="triangoli" class="atto_image_button_text-bottom" width="600" height="200"></p><p>Questi due triangoli sono<br></p>]]></text>
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      <text></text>
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    <single>true</single>
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    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>uguali per il criterio di congruenza Lato-Angolo-Lato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>diversi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>uguali per il criterio di congruenza Lato-Lato-Lato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 299  -->
  <question type="multichoice">
    <name>
      <text>Criteri di congruenza 7</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/91/TriangoliPrimoCriterioMisureFalso.png" alt="triangoli" class="atto_image_button_text-bottom" width="600" height="200"><br></p><p>Questi due triangoli sono<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>uguali per il criterio di congruenza Lato-Angolo-Lato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>diversi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>uguali per il criterio di congruenza Angolo-Lato-Angolo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 300  -->
  <question type="multichoice">
    <name>
      <text>Criteri di congruneza 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/d/d6/TriangoliPrimoCriterio.png" alt="Triangoli" class="img-responsive atto_image_button_text-bottom" width="599" height="200"></p><p>I lati e l'angolo evidenziati sono rispettivamente uguali e ci suggeriscono che i due triangoli sono<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>uguali per il criterio di congruenza Lato-Angolo-Lato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>diversi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>uguali per il criterio di congruenza Lato-Lato-Lato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 959  -->
  <question type="truefalse">
    <name>
      <text>Criteri di congruenza 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/4/4d/TriangoliSecondoCriterio.png" alt="triiangoli" class="img-responsive atto_image_button_text-bottom" width="601" height="261"></p><p>I due triangoli sono congruenti per il criterio di congruenza (Angolo-Lato-Angolo)<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
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        <text></text>
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    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 960  -->
  <question type="truefalse">
    <name>
      <text>Criteri di congruenza 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/4/4d/TriangoliSecondoCriterio.png" alt="triiangoli" class="img-responsive atto_image_button_text-bottom" width="600" height="261"></p><p>I due triangoli non sono congruenti.<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 961  -->
  <question type="truefalse">
    <name>
      <text>Criteri di congruenza 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/7/7a/TriangoliSecondoCriterioFalsificato.png" alt="Triangoli" class="img-responsive atto_image_button_text-bottom" width="599" height="280"><br></p><p>I due triangoli sono congruenti per il criterio di congruenza Angolo-Lato-Angolo<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 962  -->
  <question type="truefalse">
    <name>
      <text>Criteri di congruenza 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/7/7a/TriangoliSecondoCriterioFalsificato.png" alt="Triangoli" class="img-responsive atto_image_button_text-bottom" width="599" height="280"><br></p><p>I due triangoli non sono congruenti.<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210844  -->
  <question type="truefalse">
    <name>
      <text>Criteri di congruenza 8</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/8/88/Triangolisimili.png" alt="triangoli simili" class="img-responsive atto_image_button_text-bottom" width="400" height="211"><br></p><p>Affinchè due triangoli siano congruenti è sufficiente che abbiano tutti e tre gli angoli uguali<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Stati della materia/Denominare passaggi di stato</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 305  -->
  <question type="multichoice">
    <name>
      <text>Denominare passaggio di stato</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Gussmetallschmelze.jpg/1024px-Gussmetallschmelze.jpg" alt="Melting metal" class="img-responsive atto_image_button_text-bottom" width="400" height="372"></p><p>Il metallo passa dallo stato solido a quello liquido attraverso la ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Fusione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Condensazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Solidificazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 306  -->
  <question type="multichoice">
    <name>
      <text>Denominare passaggio di stato 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/f/f7/Boiling_water_in_a_pan.png" alt="Acqua bollente" class="img-responsive atto_image_button_text-bottom" width="395" height="375"><br></p><p>L'acqua bollente diventa vapore attraverso ... <br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>L'evaporazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Condensazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Fusione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 307  -->
  <question type="multichoice">
    <name>
      <text>Denominare passaggio di stato 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d8/Brina_auto_gennaio_2012.jpg/1024px-Brina_auto_gennaio_2012.jpg" alt="brina" class="img-responsive atto_image_button_text-bottom" width="400" height="300"></p><p>Il freddo della notte ricopre le auto di piccoli aghi di ghiaccio facendo congelare il vapore nell'aria attraverso un processo di ...<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Brinamento<br></p>]]></text>
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        <text></text>
      </feedback>
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    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sublimazione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Evaporazione<br></p>]]></text>
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        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Calore e temperatura/Calore, materia, massa e temperatura/Dilatazione termica</text>
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    <info format="moodle_auto_format">
      <text></text>
    </info>
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<!-- question: 212057  -->
  <question type="ddimageortext">
    <name>
      <text>Dilatazione termica 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Completa la mappa<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
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</file>

    <drag>
      <no>1</no>
      <text>dilata</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>liquido</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>solido</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>85</xleft>
      <ytop>193</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>305</xleft>
      <ytop>193</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>306</xleft>
      <ytop>345</ytop>
    </drop>
  </question>

<!-- question: 309  -->
  <question type="multichoice">
    <name>
      <text>Dilatazione esempio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/7/75/Security_thing_on_the_road.JPG/768px-Security_thing_on_the_road.JPG" alt="Interruzione flessibile dilatazione termica" class="img-responsive atto_image_button_text-top" width="300" height="400"><br></p><p>A cosa servono sui ponti queste&nbsp; "strane" giunzioni?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Sono giunzioni che permettono al ponte di dilatarsi e contrarsi seguendo le temperature stagionali mantenendo intatta la struttura<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sono decorazioni che rendono più bella l'opera, purtroppo con il tempo si arrugginiscono e non sempre è possibile fare la manutenzione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sono giunzioni meccaniche che rendono il ponte una struttura modulare permettendo, in caso di rottura, di sostituire solo il pezzo rotto.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 310  -->
  <question type="multichoice">
    <name>
      <text>Dilatazione termica</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In generale, con qualche eccezione, ad un aumento di temperatura di una materia corrisponde <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>un aumento del suo volume<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un aumento della sua massa<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un aumento della sua densità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 806  -->
  <question type="multichoice">
    <name>
      <text>Riduzione termica</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In generale, con qualche eccezione, ad un abbassamento di temperatura di una materia corrisponde <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>una diminuzione del suo volume<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>una diminuzione della sua massa<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>una diminuzione della sua densità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210067  -->
  <question type="multichoice">
    <name>
      <text>Riscaldare metalli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Una barra di metallo se riscaldata<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>si allunga<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>si accorcia<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>aumenta di peso<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210068  -->
  <question type="truefalse">
    <name>
      <text>solidi e liquidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/7/78/Esperimento_scienze_dilatazione_termica_07.jpg/576px-Esperimento_scienze_dilatazione_termica_07.jpg" alt="esperimento calore" class="img-responsive atto_image_button_left" width="200" height="356"><br></p><p>La dilatazione termica è maggiore nei liquidi che nei solidi<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210069  -->
  <question type="truefalse">
    <name>
      <text>solidi e liquidi 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La dilatazione termica è maggiore nei solidi che nei liquidi<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Potenze/Algebra delle potenze/RM-Applicare distributiva potenza moltiplicazione con lettere 1 punto</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 311  -->
  <question type="multichoice">
    <name>
      <text>Distributiva potenza moltiplicazione con lettere 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\left( x \cdot y \right)^5 = ?$$ <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$x^5 \cdot y^5 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$5x^5 \cdot 5y^5 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$5xy $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$5x \cdot 5y $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 312  -->
  <question type="multichoice">
    <name>
      <text>Distributiva potenza moltiplicazione con lettere 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$a^4&nbsp; y ^4 = ?$$ <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\left(ay \right)^4 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4 \left(ay \right)^4 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$4ay$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\left(ay \right)^{16} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Divisione di frazioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Divisione di frazioni/Divisione di frazioni regola senza svolgimento</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 319  -->
  <question type="multichoice">
    <name>
      <text>Divisione frazioni regola senza svolgimento 8</text>
    </name>
    <questiontext format="html">
      <text>Scegli i prossimo passaggio corretto $$ \frac{5}{4} : \frac{5}{7} \ = $$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text>$$ \frac{5}{4} \cdot \frac{7}{5} = \frac{7}{4} $$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$ \frac{5}{4} \cdot \frac{5}{7} = \frac{25}{28} $$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$ \frac{5}{4} : \frac{5}{7} = \frac{1}{28} $$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$ \frac{5 : 7}{4 \cdot 5} $$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 326  -->
  <question type="multichoice">
    <name>
      <text>Divisione frazioni solo regola 7</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Scegli i prossimo passaggio corretto <br></p><p>$$ \frac{3}{4} : \frac{5}{7} \ = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text>$$ \frac{3}{4} \cdot \frac{7}{5} =... $$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$ \frac{3}{4} \cdot \frac{5}{7} =... $$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$ \frac{3}{4} : \frac{7}{5} =... $$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{21 : 20}{28}&nbsp; =... $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Divisione di frazioni/RM-Divisione di frazioni solo regola</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 320  -->
  <question type="multichoice">
    <name>
      <text>Divisione frazioni solo regola 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ \frac{2}{3} : \frac{5}{7} \ = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{14}{15} $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{10}{21} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{7}{10} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{2}{7} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 321  -->
  <question type="multichoice">
    <name>
      <text>Divisione frazioni solo regola 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ \frac{2}{5} : \frac{3}{7} \ = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{14}{15} $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{10}{21} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{7}{10} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{2}{7} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 322  -->
  <question type="multichoice">
    <name>
      <text>Divisione frazioni solo regola 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ \frac{11}{3} : \frac{5}{4} \ = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{44}{15} $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{55}{12} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{16}{7} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{15}{44} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 323  -->
  <question type="multichoice">
    <name>
      <text>Divisione frazioni solo regola 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ \frac{11}{5} : \frac{3}{4} \ = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{44}{15} $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{55}{12} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{16}{7} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{15}{44} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 324  -->
  <question type="multichoice">
    <name>
      <text>Divisione frazioni solo regola 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ \frac{7}{3} : \frac{5}{2} \ = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{14}{15} $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{10}{21} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{7}{10} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{2}{7} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 325  -->
  <question type="multichoice">
    <name>
      <text>Divisione frazioni solo regola 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$ \frac{4}{3} : \frac{5}{11} \ = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{44}{15} $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{55}{12} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{16}{7} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac{15}{44} &nbsp;$$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Calcolo letterale/DivisioneMonomiFacile2mon2lett</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 332  -->
  <question type="multichoice">
    <name>
      <text>DivisioneMonomiFacile2mon2lett - Variante 1</text>
    </name>
    <questiontext format="html">
      <text>$$6a^2b^2 : 2a^2b$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$3b$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$4a^2b^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$4$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$6a^4b^3$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 333  -->
  <question type="multichoice">
    <name>
      <text>DivisioneMonomiFacile2mon2lett - Variante 2</text>
    </name>
    <questiontext format="html">
      <text>$$9x^2y : 3x$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$3xy$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$6x^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$6x^3y$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$3$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 334  -->
  <question type="multichoice">
    <name>
      <text>DivisioneMonomiFacile2mon2lett - Variante 3</text>
    </name>
    <questiontext format="html">
      <text>$$3a^2b^2 : a^2$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$3b^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$2a^4b^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$4a^4b^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$0$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 335  -->
  <question type="multichoice">
    <name>
      <text>DivisioneMonomiFacile2mon2lett - Variante 4</text>
    </name>
    <questiontext format="html">
      <text>$$2x^3y^3 : 2x^2y$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$xy^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$0$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$0xy^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$4x^5y^4$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 336  -->
  <question type="multichoice">
    <name>
      <text>DivisioneMonomiFacile2mon2lett - Variante 5</text>
    </name>
    <questiontext format="html">
      <text>$$4a^2b^4 : 2a^2b$$</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>$$2b^3$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$2a^4b^5$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$0$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$4ab^2$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Dividere per 10, 100, 1000 ....</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Dividere per 10, 100, 1000 ..../Divisore 10</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 337  -->
  <question type="multichoice">
    <name>
      <text>Divisore 10</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{2,6}{10} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,26<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>26<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,026<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 338  -->
  <question type="multichoice">
    <name>
      <text>Divisore 10 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{56}{10} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>5,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>560<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,56<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 339  -->
  <question type="multichoice">
    <name>
      <text>Divisore 10 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{7,56}{10} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,756<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>75,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,0756<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Dividere per 10, 100, 1000 ..../Divisore 100</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 340  -->
  <question type="multichoice">
    <name>
      <text>Divisore 100</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{3,46}{100} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,0346<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>0,346</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>34,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 341  -->
  <question type="multichoice">
    <name>
      <text>Divisore 100 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{0,21}{100} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text>0,0021</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>0,021</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>21<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 342  -->
  <question type="multichoice">
    <name>
      <text>Divisore 100 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{920}{100} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[9,2<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>0,92</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,092<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Dividere per 10, 100, 1000 ..../Divisore 1000</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 343  -->
  <question type="multichoice">
    <name>
      <text>Divisore 1000</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{294}{1000} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[0,294<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[2,94<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,0294<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 344  -->
  <question type="multichoice">
    <name>
      <text>Divisore 1000 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{65,4}{1000} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[0,0654<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[0,654<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6,54<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 345  -->
  <question type="multichoice">
    <name>
      <text>Divisore 1000 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$\frac{0,4}{1000} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[0,0004<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[0,004<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>0,4000</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Divisore decimale</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 346  -->
  <question type="multichoice">
    <name>
      <text>Divisore decimale 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{2,4}{0,6} = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Non si può fare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 347  -->
  <question type="multichoice">
    <name>
      <text>Divisore decimale 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{1,6}{0,4} = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,4</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Non si può fare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 348  -->
  <question type="multichoice">
    <name>
      <text>Divisore decimale 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{10}{0,1} = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>100</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>0,1</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 349  -->
  <question type="multichoice">
    <name>
      <text>Divisore decimale 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{1}{0,01} = $$</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>100</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>0,1</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Forze - Dinamica/Equilibrio e baricentro</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 210453  -->
  <question type="multichoice">
    <name>
      <text>Equilibrio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/6/66/Piramidi_di_Segonzano%2C_2_gruppo%2C_2.JPG/768px-Piramidi_di_Segonzano%2C_2_gruppo%2C_2.JPG" alt="segonzano piramidi" class="img-responsive atto_image_button_text-bottom" width="400" height="533"></p><p>Il sasso in cima alla piramide si trova in una situazione di equilibrio<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>instabile, il suo baricentro è sulla verticale del punto di appoggio ma sopra<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>stabile, il suo baricentro è sotto il punto di appoggio <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>indifferente, il suo baricentro è in corrispondenza del punto di appoggio <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 352  -->
  <question type="multichoice">
    <name>
      <text>Equilibrio corpi appoggiati</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/d/da/Counter_balancing_Renato_Brancaleoni.jpg" alt="Saasi in equilibrio" class="img-responsive atto_image_button_text-bottom" width="360" height="266"></p><p>Un corpo si trova in equilibrio <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>se la verticale che passa per il suo baricentro cade internamente alla base d'appoggio <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>se la verticale che passa per il baricentro cade all'esterno della base d'appoggio<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>se il peso si distribuisce in modo uniforme concentrandosi nel baricentro<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 470  -->
  <question type="multichoice">
    <name>
      <text>Peso - Forze</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il baricentro è...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Il punto di un corpo nel quale possiamo immaginare essere applicata la forza peso<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il centro di simmetria dei soli corpi simmetrici<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il punto di un corpo che tocca terra per primo alla fine di una caduta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210450  -->
  <question type="truefalse">
    <name>
      <text>Baricentro e corpi simmetrici</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/98/Perspective_cube.png" alt="cubo" class="img-responsive atto_image_button_text-bottom" width="331" height="355"><br></p><p>In un cubo omogeneo il baricentro è posizionato nel centro della faccia inferiore.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210451  -->
  <question type="truefalse">
    <name>
      <text>Baricentro e corpi simmetrici 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/98/Perspective_cube.png" alt="cubo" class="img-responsive atto_image_button_text-bottom" width="331" height="355"><br></p><p>In un cubo omogeneo il baricentro è posizionato nel centro della faccia superiore.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210452  -->
  <question type="truefalse">
    <name>
      <text>Baricentro e corpi simmetrici 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/98/Perspective_cube.png" alt="cubo" class="img-responsive atto_image_button_text-bottom" width="331" height="355"><br></p><p>In un cubo omogeneo il baricentro è posizionato nel centro.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sistema escretore/La pelle e il sudore</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 353  -->
  <question type="multichoice">
    <name>
      <text>Espulsione del sudore</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il sudore è prodotto dalle ...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Ghiandole sudoripare<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Ghiandole escretorie<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Ghiandole epidermiche<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 981  -->
  <question type="truefalse">
    <name>
      <text>Funzioni della pelle</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La pelle svolge diverse funzioni: protezione, escrezione, termoregolazione e funzione sensoriale<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Moltiplicare per 10,100,1000.....</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Moltiplicare per 10,100,1000...../Fattore 10</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 354  -->
  <question type="multichoice">
    <name>
      <text>Fattore 10</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;1,56 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 10 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>15,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>156<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,156<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 355  -->
  <question type="multichoice">
    <name>
      <text>Fattore 10 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;0,5 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 10 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text>5</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>50</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,05<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 356  -->
  <question type="multichoice">
    <name>
      <text>Fattore 10 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;0,16 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 10 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>16<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,160<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Moltiplicare per 10,100,1000...../Fattore 100</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 357  -->
  <question type="multichoice">
    <name>
      <text>Fattore 100</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;0,16 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 100 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>16<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1,60<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,1600<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 358  -->
  <question type="multichoice">
    <name>
      <text>Fattore 100 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;16,4 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 100 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>1640<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>16,400<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>164<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 359  -->
  <question type="multichoice">
    <name>
      <text>Fattore 100 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;0,04 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 100 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text>4</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>0,4</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,0400<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Moltiplicare per 10,100,1000...../Fattore 1000</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 360  -->
  <question type="multichoice">
    <name>
      <text>Fattore 1000</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;0,04 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 1000 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text>40</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[4<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,4000<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 361  -->
  <question type="multichoice">
    <name>
      <text>Fattore 1000 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;2,06 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 1000 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[2060<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[20,60<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>2,06000</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 362  -->
  <question type="multichoice">
    <name>
      <text>Fattore 1000 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;0,06 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot">·</span> 1000 =<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[60<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[6<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[6000<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Stati della materia/Liquido</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 363  -->
  <question type="multichoice">
    <name>
      <text>Forma e spazio occupato dai liquidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le sostanze allo stato liquido<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Hanno volume fissato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sono comprimibili<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Hanno una forma definita<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 390  -->
  <question type="multichoice">
    <name>
      <text>Liquidi e particelle</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le particelle che formano un liquido<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Sono libere di scorrere l'una sulle altre<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Mantegono posizioni fissate<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sono libere di muoversi l'una rispetto alle altre<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 582  -->
  <question type="multichoice">
    <name>
      <text>Proprietà dei liquidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le sostanze allo stato liquido<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Seguono il principio dei vasi comunicanti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Seguono la proprietà dei vasi alternati<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Non hanno particolari proprietà<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 583  -->
  <question type="multichoice">
    <name>
      <text>Proprietà dei liquidi 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un esempio di capillarità è<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>L'acqua che risale dalle radici alle foglie degli alberi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'acqua che risalendo nei tubi è disponibile nei piani alti degli edifici<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'acqua che si consolida formando la neve<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Forze - Dinamica/Forze definizioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 365  -->
  <question type="multichoice">
    <name>
      <text>Forza 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Una forza è definita da<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>intensità, direzione e verso.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>intensità, tempo impiegato, accelerazione.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>velocità, direzione e peso.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 366  -->
  <question type="multichoice">
    <name>
      <text>Forza 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[L'intensità è una caratteristica<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[della forza<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>della massa<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[dell'accelerazione<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 367  -->
  <question type="multichoice">
    <name>
      <text>Forza 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[L'unità di misura della forza è <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[il newton<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[il kilogrammo<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[il m/s<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1457  -->
  <question type="multichoice">
    <name>
      <text>Forza 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[La somma di tutte le forze che agiscono su un corpo è la<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[risultante<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[forza maggiore<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[intensità<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Calcolo letterale/ProdottoNumeroPolinomio</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 368  -->
  <question type="multichoice">
    <name>
      <text>Frazione per binomio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac {1}{3} (6x-3y) = $$</span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$2x-y $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ 3x-3 $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ 9x+y $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);"><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac {1}{3}x - \frac{1}{3}y$$</span></span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 369  -->
  <question type="multichoice">
    <name>
      <text>Frazione per binomio 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac {2}{3} (3x-9y) = $$</span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$2x-6y $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ x-18 $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ x+6y $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);"><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ \frac {4}{9}x - \frac{18}{27}y$$</span></span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 435  -->
  <question type="multichoice">
    <name>
      <text>Numero intero trinomio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$2(3xy+5x+4y) = $$</span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ 6xy+10x+8y $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ 6xy+5x+4y $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ 6xy $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><span style="color: rgb(51, 51, 51); font-family: 'open sans', sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: 20px; orphans: auto; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 1; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; background-color: rgb(255, 255, 255);">$$ 6x^2 y^2 +10x^2+8y^2 $$</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni cosa sono/RM-Confronto di frazioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni cosa sono/RM-Confronto di frazioni/RM-Posiziona frazione fra due facili 1 punto</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 370  -->
  <question type="multichoice">
    <name>
      <text>Frazioni tra due altre 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale frazione può stare in mezzo $$\frac{2}{5}&lt; \ ? \ &lt;\frac{3}{5}$$<!--?<\frac{3}{5}$$-->]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non esiste</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>$$\frac{3}{4}$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>$$\frac{1}{2}$$</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 371  -->
  <question type="multichoice">
    <name>
      <text>Frazioni tra due altre 2 1 punto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale numero può stare inmezzo<br>$$\frac{4}{5}&lt; \ ? \ &lt;\frac{5}{4}$$]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non esiste</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>4/3</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>1</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 372  -->
  <question type="multichoice">
    <name>
      <text>Frazioni tra due altre 3 1 punto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale numero può stare in mezzo $$\frac{2}{3}&lt; \ ? \ &lt;\frac{3}{2}$$]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non esiste</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>4/3</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>1</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Sistema escretore/Rene</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 373  -->
  <question type="multichoice">
    <name>
      <text>Funzionamento e anatomia del rene</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il rene contiene al suo interno più di un milione di microscopici tubuli detti<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>nefroni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>neuroni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>neutroni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 975  -->
  <question type="truefalse">
    <name>
      <text>Fermentazione urina</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'urina si forma attraverso un processo di fermentazione<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 976  -->
  <question type="truefalse">
    <name>
      <text>Formazione urina</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La formazione dell'urina avviene attraverso la filtrazione del sangue e il riassorbimento delle sostanze utili<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Stati della materia/Gassoso</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 374  -->
  <question type="multichoice">
    <name>
      <text>Gas e particelle</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le particelle che formano un gas<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sono libere di scorrere l'una sulle altre<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Mantegono posizioni fissate<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Sono libere di muoversi l'una rispetto alle altre<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 872  -->
  <question type="multichoice">
    <name>
      <text>Spazio occupato dai gas</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le sostanze allo stato gassoso<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Sono comprimibili<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Non sono comprimibili<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Hanno forma variabile ma volume fissato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 873  -->
  <question type="multichoice">
    <name>
      <text>Spazio occupato dai gas 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le sostanze allo stato gassoso<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Non hanno forma propria<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Non sono comprimibili<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Hanno volume fissato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 874  -->
  <question type="multichoice">
    <name>
      <text>Spazio occupato dai gas 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le sostanze allo stato gassoso<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Tendono ad occupare tutto lo spazio disponibile<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Si depositano sul fondo subendo l'effetto della gravità<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Cambiano forma mantenendo un volume fisso<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Probabilità</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 920  -->
  <question type="multichoice">
    <name>
      <text>evento certo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se&nbsp; P(A) = 100%, l'evento A si dice</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>certo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>probabile</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>impossibile</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 921  -->
  <question type="multichoice">
    <name>
      <text>evento impossibile</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Se P(A) = 0%, l'evento A&nbsp; si dice</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>impossibile</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>improbabile</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>probabile</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 377  -->
  <question type="multichoice">
    <name>
      <text>Gioco del superenalotto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Nel gioco del Superenalotto i numeri sono compresi da 1 e 90; ogni giocatore sceglie almeno sei numeri interi&nbsp; e gli organizzatori, nell'estrazione, estraggono in maniera casuale 6 numeri. Ovviamente vince chi sceglie gli stessi numeri usciti all'estrazione.&nbsp;</p><p>Sandra ha scelto i numeri 5,6,7,8,9,10</p><p>Piero ha scelto invece&nbsp; 25, 44, 63, 78, 89, 90.</p><p>Sandra e Piero hanno la stessa probabilità di vincere?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>si</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>no</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 483  -->
  <question type="multichoice">
    <name>
      <text>Probabilità composta di eventi singoli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Valeria e Matteo giocano ai dadi. Ognuno Lancia i dadi e moltiplica i numeri che escono. Ad esempio 5 x 4 = 20.</p><p>Stabiliscono le regole del gioco: vince Valeria se il numero ottenuto è pari, vince Matteo se il numero ottenuto è dispari.</p><p>Secondo te, hanno le stesse probabilità di vincere? Chi vincerà, Valeria o Matteo?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Valeria</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Matteo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 484  -->
  <question type="multichoice">
    <name>
      <text>Probabilità di evento singolo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Una fabbrica produce 500 lavatrici, ma di queste 15 risultano difettose. Ne vendono 250, ma di queste 6 sono sempre difettose.&nbsp;</p><p>Se si sceglie a caso una lavatrice, tra quelle ancora non vendute, qual è la probabilità che sia difettosa?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>9/250</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>15/250<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>9/500</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>21/250</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 927  -->
  <question type="shortanswer">
    <name>
      <text>Calcolo di probabilità composta</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In un'urna ci sono 24 palline: 4 rosse, 6 gialle, 8 nere e il resto bianche. Si estraggono due palline, ma la prima non viene rimessa nell'urna. Qual è la probabilità che alla prima estrazione esca una pallina rossa e alla seconda una nera</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>4/69</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 932  -->
  <question type="shortanswer">
    <name>
      <text><![CDATA[probabilità composta (operatore booleiano "e")]]></text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In un'urna ci sono 25 biglie colorate: 5 nere, 12 blu e 8 gialle. Qual è la probabilità di estrarre una biglia nera e una gialla? Dopo la prima estrazione la prima biglia viene rimessa nel sacchetto.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>8/125</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 933  -->
  <question type="shortanswer">
    <name>
      <text><![CDATA[probabilità composta (operatore booleiano "o")]]></text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un dado viene lanciato due volte di seguito. Qual è la probabilità che nei due lanci esca un numero pari o un numero maggiore di 4? Dai il risultato in percentuale.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>67%</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Moto - Cinematica/Velocità, Velocità media e Moto rettilineo uniforme</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 387  -->
  <question type="multichoice">
    <name>
      <text>La formula velocità</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La formula della velocità&nbsp; è<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$Velocità=\frac{distanza\ percorsa}{tempo}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$Velocità=\frac{tempo}{distanza\ percorsa}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$Velocità=\frac{peso}{tempo}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>ContaciGEOCap1</text>
</tag>
    </tags>
  </question>

<!-- question: 394  -->
  <question type="multichoice">
    <name>
      <text>MRU definizione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un corpo si muove di moto rettilineo uniforme se <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>la velocità è costante e la traiettoria è rettilinea.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>la traiettoria è costante e la velocità rettilinea.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>se la velocità aumenta solo in proporzione al tempo trascorso.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 900  -->
  <question type="multichoice">
    <name>
      <text>Velocità 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La velocità è definita<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ v=\frac{s}{t} $$ spazio percorso diviso tempo impiegato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ v=s \cdot t $$ spazio percorso moltiplicato tempo impiegato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ v=\frac{t}{s} $$ tempo impiegato diviso spazio percorso<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>ContaciGEOCap1</text>
</tag>
    </tags>
  </question>

<!-- question: 904  -->
  <question type="multichoice">
    <name>
      <text>Velocità media 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/fe/VelocitaMedia2Auto.gif/1024px-VelocitaMedia2Auto.gif" alt="" role="presentation" class="img-responsive atto_image_button_text-top" width="1024" height="545"><br></p><p>Quale è la velocità media tenuta dall'auto rossa?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>100 km/h<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>300 km/h<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>150 km/h<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 905  -->
  <question type="multichoice">
    <name>
      <text>Velocità media 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/fe/VelocitaMedia2Auto.gif/1024px-VelocitaMedia2Auto.gif" alt="" role="presentation" class="img-responsive atto_image_button_text-top" width="1024" height="545"><br></p><p>Quale è la velocità media tenuta dall'auto blu?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>200 km/h<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>600 km/h<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>300 km/h<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 906  -->
  <question type="multichoice">
    <name>
      <text>Velocità media 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un'auto, viaggiando in autostrada, ha mantenuto una velocità media di 90 km/h per 3 ore. quanti km ha percorso? <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>270 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>30 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>90 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 907  -->
  <question type="multichoice">
    <name>
      <text>Velocità media 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/fe/VelocitaMedia2Auto.gif/1024px-VelocitaMedia2Auto.gif" alt="" role="presentation" class="img-responsive atto_image_button_text-top" width="1024" height="545">L</p><p>Quanti km ha percorso l'auto rossa in un'ora e mezza?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>150 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>200 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>300 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 908  -->
  <question type="multichoice">
    <name>
      <text>Velocità media 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/fe/VelocitaMedia2Auto.gif/1024px-VelocitaMedia2Auto.gif" alt="" role="presentation" class="img-responsive atto_image_button_text-top" width="1024" height="545">L</p><p>Quanti km ha percorso l'auto blu in&nbsp; 2 ore e mezza?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>500 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>450 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>600 km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 909  -->
  <question type="multichoice">
    <name>
      <text>Velocità media 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/fe/VelocitaMedia2Auto.gif/1024px-VelocitaMedia2Auto.gif" alt="" role="presentation" class="img-responsive atto_image_button_text-top" width="1024" height="545">L</p><p>Quale delle due auto ha percorso 200 km in un'ora?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>L'auto blu<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'auto rossa<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Tutte e due<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 910  -->
  <question type="multichoice">
    <name>
      <text>Velocità media 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/fe/VelocitaMedia2Auto.gif/1024px-VelocitaMedia2Auto.gif" alt="" role="presentation" class="img-responsive atto_image_button_text-top" width="1024" height="545">L</p><p>Quale delle due auto ha percorso 200 km in 2 ore?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>L'auto rossa<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'auto blu<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Tutte e due<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1088  -->
  <question type="truefalse">
    <name>
      <text>Velocità media di un'auto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un'auto ha percorso 200 km in 2 ore, quindi ha viaggiato ad una velocità media di 200 km/h<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>ContaciGEOCap1</text>
</tag>
    </tags>
  </question>

<!-- question: 1089  -->
  <question type="truefalse">
    <name>
      <text>Velocità media di un'auto 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un'auto ha percorso 160 km in 2 ore, quindi ha viaggiato ad una velocità media di 80 km/h<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>ContaciGEOCap1</text>
</tag>
    </tags>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Forze - Dinamica/Leve</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 388  -->
  <question type="multichoice">
    <name>
      <text>Leva 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/b/b0/Pinza_Leva_Primo_Genere.jpg" alt="pinza" class="img-responsive atto_image_button_text-bottom" width="480" height="360"><br></p><p>La comune pinza da elettricista è un esempio di leva di <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>primo genere, potenza-fulcro-resitenza.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>secondo genere, potenza-resistenza-fulcro.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>terzo genere, resistenza-potenza-fulcro.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 389  -->
  <question type="multichoice">
    <name>
      <text>Leva 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/96/Pinza_Crimpatrice_Leva_Secondo_Genere.jpg" alt="pinza crimpatrice" class="img-responsive atto_image_button_text-bottom" width="480" height="360"><br></p><p>La pinza crimpatrice per i cavi è un esempio di leva di <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>primo genere, potenza-fulcro-resitenza.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>secondo genere, potenza-resistenza-fulcro.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>terzo genere, resistenza-potenza-fulcro.<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1449  -->
  <question type="multichoice">
    <name>
      <text>Leva 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale delle tre pinze è una leva di primo genere potenza-fulcro-resistenza<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/b/b0/Pinza_Leva_Primo_Genere.jpg" alt="pinza da elettricista" class="img-responsive atto_image_button_middle" width="240" height="180"><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/96/Pinza_Crimpatrice_Leva_Secondo_Genere.jpg" alt="crimpatrice" class="img-responsive atto_image_button_middle" width="240" height="180"><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Pinza%20per%20il%20ghiaccio.jpg" alt="pinza ghiaccio" class="atto_image_button_middle" width="240" height="160"><br></p>]]></text>
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CAYARJ1AVmRX2Q6LIw7mYNY+iJaKh0zFwOqgExNKUDt1JAI0/CbDaQVF6I8hpJfLREEgl0SjXVGokm4kGmyZ1wBIO5M16Dog0CWnSACb2jpKIDw2Oah7x+4U0M5pbMC16JgyKAkg3qAhVw0kgTPNZAgZGgCJ6QZG4KXElwbAdDpvt9FY4QJvWWm8SIkIRJq7STW3f+yBCaRoigFIgH991IBYZiDft2TEGtYH4tI/VSJ+JtNgLfuCi+yv0klxIaNUiYoAiG0j8IBIisUR5WuEBzdNIiyDmENImINiKH2UV6dwIMusIEIDDDzqu40lvRGS0gPAtMC59EhJDIBLtX8tJXRxieUZ+I6XEkVQ5tLuaNiIM+iNLAAlpFVHHmhxIYaXH0RfSt5LBzEgz3rT81A+xbQTB7yEYLQJkTXVIr3QaBLS4jU2prAuqz/UEv0mgrWB3QY50QRLjWhkIape3UL9KV7oklo3E2oB7JSUDiTQ1INrSiIdIa6Ab7R2QbqDm6oBJNjP7/ALotMglrpMwQREnojUMI0jmiRZoj8rpJDRy6RJ5Y3CWQHR16nZRzoFZqa1qVBY5xLYESTJAUms6zUkT0VRFS6xG2qihc7l0uOotrBiFWVmqeXVqk2qChIjkLpH4YqgzUOWZbERpqg8uqCBeBAv2UXuCJBaNWnpWfVQAF3KYnoL90HP2LQQbjWN0C4xBGl1Kymrgt5TLayYkyU815gYAp1VQOsDlcCRNaKOcGgAGRHWNu6otJ5upEi1lNZIhsmZFfoq2loAmJJidlA6AXOaIm8bd1CGkgNBNrbXUAINyBYC6SNJ5RRvp+wiSCH7Cx6ILKEmZPUFFztIc68dBt0VRxKF0GKQCIQdiANImBHTYqKeCGkA6nCJPsoCZHKTNSAKhKHQ2TQ9OigIgwbGSYsqmCTWs1FTOyMgAE9pSGTEg0Fp/JB0zFz0JojSxonmNQai9VJ0/ioLRVVk7kajqomMydUNtuog1GgEwDubhBrmtEixoAFX0AIrtCbU5pFD09UUwIc6B7oiQZdcVpWUmmACSTAiJRceUkVFKA1lDT3bSkjrWVGmS6DIBoY/RVBwDupiRVO2ti40+SKs1VvAPdLILrXNZKAMyHTUwaqDmcAJBcakH8kFkn8R62UgD4BJ+araYMRBKZziDMibmqim00JJitpTB0GsV+gSVe6Wkze6cGsk1iVBAXD4fqm2FzXokvEGh95U/EIJAndaDExcxuiY1CveUgMVmpNR1RaYNNzUzRQO06jBpW59EGzy0JOyAr0Hc7pqA6hE/6Qqz7EAxYCikwZ7TdSSJEzfZQHoKEURewqYmxEXshABoJmO5RisiosJCgbLpiCe8IG7mortdACAZteqDZpvJ6qWPYoCJIr+aQAaqUJ3CJMOAEhEc2xHNRFEgwQa0/ZQLZNHCd+6hvBFY6qNgGoqiCRTVA6KRFjBnYqBxNxFYsgeu0RRApYCb6T6KS6pmRHREkixkwo7qJBFBCCUbBN5oI2QIJAgT7oiYOrc9NkXNEGfQIBEept3UJmsyRaURMisGygEkCDEjZBAKAfOqkUNSIpZHsOn5KSZHXuUAjVebJTEgAmlqXTPZI5b9z9UABI7dUEtahHQoARMkk9UxMAVUrvc7FBX0gf2Ra2yJHQDoEYgERB7IJSADsfkgQAZrMdIlEUcdpUIje2yKGmBQ7xbdQUAmIteqlh3J9EZmaaptCBYBBJt/ZAQRIuYqU0kAigA7bIHmmZjuVEK4agREjpuVIGo2RineVDI3oilIoYBEH5I2M3ExMoDcjf6IxA6+oQQtBIJ/NSlib9ipplwNQQLIGYAMAi/dBCNMxJG1UNIIAaaDuj8UgRUSYMQpuLegQKJ0wYlDS6wi+6YmokTBMTdRzZdtJjaVAoBIMEwCaH0UJGow6adICjRJgAQSKKFo1TFOqBZLdWo06+qA5hUiSYjonoBLgQBdICXAgDbc7qpUgaS6ReoKBLTB1GSLi6MSbyTel0O4sRsECwAW6QTSLWQxNUyDJpunaaS2TPQ2QczS0lp0xBEhVALgPjIDf5R+aEwQSIBoINkdMjr/KP7JAdTy1zZE0BH1QEfFMg06W7pXPoGky4ReihBLSQ2967KOkzyuExOm5HZQ0AIDuYQL91HWJM1FuqjhPNDbWCGwkmla7KgOmt46qsfw6OIEGQZgJ3EGARF4lSOY9CK+ih7A1JMlrryBsmIJFNRAuDCQjQ4mIDrilFC0NEULQKoqfgBHOB226oANIgiSaXMqOGlwIEC4MivZQkNmDajh/dECQ4zOoNpMm6WTF9VgZMg+iJoSTSgJokdIIa5tIoBsPdFg2MEVFqVnso6DGp0ACsbfJSfxNki4gShI25jsQYQ+AAAKS6Y2oUSAwgaRQEF0V9EsxLjApFBbsVAA4CADFRIt/RQMQWg80iKaTICUxFDJMRImOhSl2kjU3XFYGxTMOk6i3oRWad0UayWgzyydwR0QDmmA0sM1Ai3r1Qg6GhsXodUVUc2A6eUk7EkEIiGXczJgbNHw+6hgjS12qCaEAH2HulMESBLp03g/NRzS/o4XkmvzQQ0DpHLpsKEqDQDzmxpSg/om5alwFTExUx0S1INHNNCJgII2//dI1A7/uyM0gAAaqbU2slcNYFgaSPyKGk0BoAQCCaeiLNeoAcaj4piP7pQS1xZ8Ii4VlNcgRMwJNt0gBdpLZ+W624ltAA36VVdNMEU2kforSwgEFrh0aldJdu4n4REodxXpBJ5ml0dKn9LJARDmuLnRYGyucS1pIPOBX07qsExT8QmU1YkkkmxJF6wq3aiA1obqIrBgbXTQGSSCRvB6oAGXOI1PEAg0ohhp0yIbSzgKoyWvImmwFJ/cJJLQ4kXJkd0uolrhMuEb1Hb6qnR9VTBnYEVhASADckExF0NQeKggA7elfySgUElwm9YlQ90xLRqmYmZn4aIBxqJPrKrlznA0BMbbIB51yC6Ttba1kFuqG1ilPqoXRRsiBUdlRrLiNG01iKesJw+WBxkgdTuirSDB1AtINjB+qU4jWAhwdB2N/RJYzNqegR1EtJmndA2rl+Ga1NUWubLSCaVO/yVZIBMRJrU1UcQ6o6V7qHtYXzPLMGpdt0ohQOiCD3/Eqy7lAp6mm6Z7pkAT0MlVE0w21G/ymKDaUwgkmdR3moSAagHAG26XXMQXATXYI1IfWTJ1NLoFhsncTq5QDFKKouIklpp3qUBLalznyZGqDppYdvWURY54P4bD1Q1H8RcJFNkgAGxkUAG5lQUOxMwaSYlDs/maatNjSa/sI63SNJht4HVVPcSS2dQgHpVDatI7osWCwBPLWTMKa4s0dzGyQO1Mufi3ChJiNVKUrsp6WRaTatxImlFCYcCYtMz7KjUZ+GTQ0MgotcZBl3SIkJq4uBNYiSNzCAIiYLYNTuFWC1zgJFBFHIkzea1gioRMMKgaveib+Y1EWg1VQcYIgupSCm5hEAntKKs10gGJE2soHQb1MbUCqJrS8TXpsjUkwKHZu3sirgRZlZ7IzttHTZUHE5wHVdWehRDyJIJhp3UFzXg0IEAqzVMQKi+11QcSGyKTS90WvAA1SBP79EGhrhzEEzQBBpFYoPn3/AFVIfFBMBEOsQaCfeqQWhwkWvWEajt2VZdSht1sFA8uFpHrVUWG7qdAa2TAwP5gNlVqgnUS0z6WTapMEu6dEFszJAjvKDQSGh0EgVIEJRBMGUQbVIQE1EGohStxWdlNZ3E+6mqDc02QNc2nqCUOh/JIcVpe1moBxBMbkC6YgiCLqpo1EdPSyDTLnNAJ3tCcAzIPNYhKRDpmZoaKAilaTahQcDFkwO1xeEdMinXqgAmQ79ylJJqPzTARIaCTcIC0gUIiqCWqaV3RIMExVCxEmJTaiCSQT3FFQBWNIvaEYMEHZDuCRF4KO0RXdACC4wXA7QUpBIJBoBAFk4vEbUUN4JhRSVBG9OiLSZ6RYjdEmTJBNFANQ5jfdAJJuBesKEiaUUuK7/RQbkSO36ohak1HzU2rZN8X+yG26BRIFxIraE3W8WRcbdOh6IAUHyqipBJk0p7IEzFYHXoUwAJtW9EJAM2noVAoEgTNBsVJ5uvRFrQDzGqJtN1QkbikJiKlFswRJ9FLySNQ9aqBTNhtFZqhB61oYRINAXTaYUggAONdvRAoGkG9emyMQTsI3UgEmhNet1ARUEAiNkEkie/VKJBpvJumO0TICRzQ4FsaZImCoIZ0/h7owRQgA9FJGohuqO4UPvQIAAQ3mgWUMECa0RJgilz0Qo+ZHwqgGTYRO8oQZ5YjaSmmoFXE9bKES0mXSaqBHXqIESKoF1CGtLhYbBECe14AUdO7nERbdVAE7Xn5JXVmSJj2COmpOl0+tlCDpOkaTtq69EUrhOqvS9kCZERTcxVOWkuNz2H5qsklpkkEialEGADWjrtO3ogCTpBFJn4VYdRLoFDQbyFWQXQ7p0QAkNLmiJEAbSlkiCb9BRO74han7skGqaGHbxuiA7lJoO0bIEAfiqRsiZoDN0ASbGR1aEUDcACoG4slILQ4NgajUxJRktB5pBPxbz0UhzQK6QRF4BMIgOJJINJsbKsnQaD3lWUAFQAdjVCeYwNq6TUd1QlxYun+YW9kZqC4i8dIRaBQNFAf5r+3ooDEy6KmJuopNIYxwgipMfvulfLea7orROWtIInVIrBJqgbywmCCaG3ZEwh1ODnmw3UMCSXS2k1sn1FoJBjbpHZC1TqAmKCFFhdLi4xUxA7dVBLBEUImk0jshFKNAIJ1Emo9lAA50MpNSSIQCHGRqB7IFxDtTTJvEXTAF4bUadqinqo4kSAS7pRUAw4g0aA7SN579koeRuJIJoNv6wiaiQS3lE0/fZGSRA2pMU/3UKTUA0+VJmo2iFPxVBt+fVPJMGHSBWXCnqiOUgmZdMxsfZAjiD8JAceYD8yEA6ZpIi96KAFpcfiiwARDQ8Qw64PXbeqKFYNZFzS3p/RBxpJcNJk80evso9oe0gBzgTUEChpB+qhl1S3lfFxeNii69RWG6S0z1pPeUHfCC4uAmT/pTkkUBDiL9B2rdSHNeNIJMU0rTirLNDy5pggEmDZI86rCtCYsrNNZIExQVv0SPaC1rREdzb5bqnfohJ1S7lHboq4qSQR6XhOSYB6jZI480QTYxABt+6JCkAIMYZiTX0UMaABJrEdfdNqdqsYJi31VctFOliP32RRkOhol0QKmBEpBDpB+DckKO0kOEVHWR7pC+pk9JgDoqyJME1kjeNlA41LqAzPNMiiQ4syXOBrpAAjfr1SOduCAAD3t2UaW6gXA0MAms09EoeYkSSHf1VbnO1EyTEQS6TCrkTf4txQoi15oSwFxsY6nr9UwfqlraASB9P6qiSagSTvKDsQsJDngS225+SauL9RDoOoGAOVyhfUVvNQJAVHmmYc6piKSprJ1EQbVj9youLg4uPKSZqNRiKKBzQBABM6j/AF/JUF2gkESB7pdcXMu2I3VRpLoB1HUYk0hMcUxSKd1l1zbapJNfROMQB94ETO0ILiSXVHcdfmgSaNHxXbO/ZVh8UDh+ahdS8EmgH9FFXaqCKTcRKF4kNtNBAVOsMdWnUE/VTVBk0kdUVoDjq2knegSh4cZlVa6Eg1+SUkEQSCRFIumnxa51XFp3kIagQ0fWKKs4lJrQ1A3BCXVEb/NFXh+l2qDBk1cgadh1BKz69OqRSKSUS43IF9qUTRoJBBHWlDZEuIcZ5SdrfRZ9RNRDv9RO3oiXtA+J3uUF2qwkuJsBVSRF6duirlzRy3ubVCXWSHSb/kpqrQXWaR++6Pmf91eiqGJUipPU7oa7k9ahBbqFayT7JwS4Cbnfos+s1DiffZFzpNBFeqC8OIJGqGz0hFmJqJMQPoqPMdWIdO9kWvEwKQCg0hwBltoNEQXRqiIFVna8RSx6V9EwcCRF7Rug1Nf0HyQBq2xvCodiQNUxHfdO5wMxeYCQWEB0OcXN3mY/foml4qQMQfI/MKsPo7pA3RDheAQOlVUWawXANFZkggmfdOCaGrR0VVnxv63RDiAPS3RRVzXAmZ9Kpq76p/JVB5pvO0JgZqTeiCxsjefbZGakACnRI3m6TCIqCqH1D0PRQOk97pQ6f6wjU6hqmbUuiC2NJEAarwUfhmpPvJQH16RMIiCYlBG6iSIGnaCpIk6hPcVqiD0sifiJuAECwRU36hGRcEk3hOKgQaJQDNfT2QS0zcoxvEHdEiAKGlFBFJpRFAj8z6IBpFa02RpsSL7I9JJjqERLG80QgmZ+iYGKmoAqjtRpHtKKrgwAYooXbkX6bqyhImZnohyzUnt1QIBFPc1Ugw6bEp2xNRQ9QgJdM7bgIEEmlYFoRgRakXTBpNADQUqhB+te6BSDdvzKFRveVYARAHVDTQAAwUCNEADdTvsTZExESSenVSDMgxIhAADvE7KNsawd5RIJqbWUMSQKUoIQC5Eb26qRWZPp1TADVMx6KAVnbuVALCxugaC1esJiNM/mFBMCQZ6BAgmXUmd5UoJi0En1TkdaVugQQ4xEesKBeznHv2SnoXFMW3kz+qEdqXHqgUNaKmPfZTciSRuUTsBeK0+qjZMANtaqAEaYBnrVStIBjvumgxIIg9dkDIgQAfVArpEmDHRAsBA5QSBu7ZEjlrQxJCEauhKABsEHoIv+aEOAgR+Scs2NSJNdkBQkkgxaUFZaNQJAJNZNVIAPtuEzgd3GCaofhIIEgiaKoUs3ktHY2QJJJoREx++icgcoNTU12QIIa4NdFJhQISJ/GadaKFsukt2NDsiG2JO1eqliQA4eu6qeygE6pNLgKsiTUap3VkahAgj1+iUua4lsEjYGPzRSmjXOiHTJkJYvuRJ9USQ6ZOpx3REiYbFJncIEEtNLiYnZLDmuBk6R06/0TNcTIBkGk9Ux1ACstmurZQJpMtpIcbh31Smh5nGZ5afP3TBxBiC5puIBjvCRwLhJ5DFG3QGojc1FreqQkadTajaRBH9U5MkbeyV8kEup63KoWw1SQ0bCyIFTIim9SgNIqDeDQUUbG5oKAWn3QgOLhBINqEhQy5roHLFJGyhaROmSek0lKWx3kiQT+agEQ6D1sEYDgKmd6GUwqJqADcFKGwaEau1FRA0kmQfSDfqljSBqkjet/wC6aodd1BPf0Stg3JgQKj0qoA4jmmHHUaGqIl2GC2kiKH5pY5eY1B5q3qmLpMuMms/KiGiARaju6UEEcuoGthKhaBR1D2EmEJJEB0kTW3Ssdf6q0BwL5rFKQUumR/M6SS793TF8QHGTcj97IyQ2CWkjdRSkkcpgAVrWKKODiQXOLAXB1Lm/yTOI1BzgLjl/YQcwQ6QCLnpO35KK9aBqLQ4kNG9/9kuk10mJHUmqLQK6TepAMotgAHUIi4C3249EgVgAdAKqt1QDMk3AElW4jNekBuk71slcCReDMT7pSKntOokwRY0lU4oIDiIjTQgytDsPVUAw2Z79lScNpcdDQAQQR1Re1T2Boja8j80hNS1zqC9J/RO9sl0EUsOgSO+IVETWlx+ipVRcQ2opeRNFWTpa4MBoKgdD0T4mmQ5jQHEXqCVU8B0ODpBpAQzQJ5p6Gayq5mTFYJt+qLiQNRsD1/RUnFmKRB9VFkPqjTBgOmZN+yrLzpdtBitPdVuPKWsge1lScRsktBIAm99oT2uY0F5c4ExQ169lXqkEANAItpmkqgvbDZPzCV2JGnU6IpIMD5IjX5kGxiZ1TQpHYorImNhsFm8y2uoEGsXQ88lwaG6vxUNQpW8axifDQwT6U7o+eKO2mItRYi8PbVzhyyQHX9U5xgCYLQdzqhUaTigOMRbtWVBiOBIIdzHt9eyylwLTUEXcYv1iEWvLngNgySO6MtZxKVI07Sf1ROK128gA1JgrGMSO25+anmM5SXDqINgo1jdqm5EEbbeqDXmCHEAwbbrCcQnm1aiK1KY4rmvHLYUGyGNvmTJIERaVBiEkSR3WIY2oBoibR1R139oPRBqa8fE4kkCR/sicQ0rNvVZg8kXrNBCIxJv1qbn2QxpLiCIIH5FLqmDE0usxxG1aXmXViSmLwJmK97qLjRqEQTI70AU8yQS0kiLVWUvLSK1rfdQYlZiYItfog065BpX81NVeYb0HdZ/N11mWgRS3yRDyGiKbVKC/zD+J8TUg/RAPILSHQPnKoDqmBBtdMcTU7VuSPdDF4eA3lgbptdRB9xRZg7UDNj+6qeYfxRy9UGg4gFok2p+iJfWZ1LP5gPam6ZuIAOUCAirgQ2ztMdCmbiEAWO8ALN5gBpFiTCPmSJQag+Re/VWh0iIBP5rEXaqAcxiT1VmroIN7omNTXWJiIorGvFNJAr7BYW4lw4dZTtxC4g3t6dlUxsLqwHEQLIh5kGQPVZg8kQewun18pi0bpDGkOLRymCbdE2ud6z1WdsChJDRsnBJLZoQEGoOrI36pm10wJKoDhuT3BKs1Ai5PsqHD5sa9Cm1V77VuqpNOaqYE1NqUQWNeDc+sI6osRMqsUBj80SRpg13rRBZq61gboh0GCZJqVW3qK+icGZqbILGumCBWdlJr6oA/MfuylZjr7IHte6lt4rcoAjefVSJjcIISfr0RrYxUob9tqouFa29EEBlxE12U0kT+agjas/RHfpIQSD/MoASTMeqMEnsVCJFaxMoB9Eo1D4iPYIumAYLvRTrUogRcG0bbqbCd0YMQBMlQgn5wihNDIgIVEdAm6yJUkgxZAHAV3itAh7GAiADeCy4BUMmt5UAJMgzKld4mKT1RAog4iPoKSgWpMGsfQokUgQoSbXH5Jw0VIbB7boFBj8N9ghJmRT3hN02EDfZCJdQU2qgBIqBshMiZk7I6aGKVQJl9TI6qCRSDUTMqE6QSfeVBU1gpal1TToN1QheQ+Tph3xEGx2VkbH6pYkOrUiD3CP4e3VQE3GkDl2JSDl+ETWpP9E7RIFJHpKE7RIFUFYHWCO5RgE209pmiMyJgjTFwgBUwKgREoALTJ0myDqRT1rVGCSJsEDQQI9ECnn1A72KUwbXNDCYyHRLuxKA0nvvExKJiGCDrn2QIdFNIjqZTdQG71PdQECYgGKiUXCFo+KakpCdXMABQCIkFORIFTA6VRiCZbAtAJNESqiTqBk9BSkIPby0q2oM7p3C8EARU9FW8AiDPcgoA6oBdqmKC/wDshOgxppNypQvMQYpJspBJkNN4gooGaGWkXMIFwk8wn6hEtMQKS6olQCB8Jm02ARAG9BtEWVZ5RLW777fNPJJhpnt7XULTJMgm4kboQszNyBS26kNbp1RI/cqFtRHTrfsgAQWzpLtkUCJHNtMkVSlpDzpdDg6QHSiRLQHiTc9PVQXMzIsJmFUA6bui9DE1UOn4ZEzFpTV2mQLdUhBY0VAAuLBRUIMc1jaLIF4IgaRWe8wmAkAtJANaDugS4lzDBg7bFAOYSQaECInolIBNCAaE9x0TTLhvsP8AdK+QA0mB8PaERBzCOYOFu6UAQdZJBFAfyTQDQEQehU0QDBGkiO6KBkRqAmaAWRvETBoaIDUHUAkisBSpaHUg27bFAtdoIIiyhA0/ESOhFSm2NqUraUCANMu3gmYKGARFGkSekybfu6jmAtbJABqBMyi5ukcxDRHSqUgNcA1oG0jYImPWeYA4mRJrG91LANmQbyETIqBLTcXoofjIMxIhx/JWMVKgkhoduIF+qSpmRWKD+6agcYk6u6JbBJcYMbbdu60yrcwBsltYt36KksDQAW1NZdsr3tJggkEmShHNXfvsorM5hoGxcybQqjSCeQapg9FpdAiKOLoqFU8SCDLgdtMSrKVjxTrBF2gHRNZWbEO0lsE0FLLbisMWgSSBqiqx4jHaakUbQmqUjG4kOLi6mmoI/fVUvxIoHGG0vVXYpcIFZsAudjYjNRghxMiJivVRr0sxMTVMEGJJMgwevqs7sb+JtqBiJ+Kiz42KJkAiIN5JWPFzI0S+ZJqZmQstbreccD4rzE2Mf1VfnDEOi5NqSR3XMxM2SDWQQQISuzOmQS6CatBgWin9E1bjq+aBBaYHfoE3nSWtgR8VTQSuV94ZzWFakGKJvvAbIqKDcD3VZdUYsCkuoaT3U88H/LcBINyuZ5tiTUmg7dwmGNUwZI2mPontXSGKXWdJI3b+qcY0A6XCG3JO65LcUtaC5or+EmAP6pvvFdbmAuqDQboR0hils9ZMH4pKbzWh0GATQ1oVyxjigcTO7uv1TDHAaBoe00if6KK6IxA34SIO4PZDzy4kCukRPfoVzjjtrpuSPwm3qm88EiHRsdqIa3HGpSvVRuKdAAcCXTG0fuyxHMCPiAc4xewjqh5gLRQPaD706IOiMxUUmBM9EwxgXUJEES2arnjEFrAGoBtulONzXcC71H7uo06hxSJFXECabpHYwiSQ0G/bouY3FABiSSYIBv7p/vEWcWibxKproYeKHTqNQaJhjgzpFTF6Suf50mSQQReYATebAAI9plNG0uH81bXTDFgAh3L/ADBYfP5hpGpHzYkONK1A6Irb5tBzA1nmFU3mFpE3sYCwuxhpgF0pRj6wCKV2ciOh5zTJAiaUQGMCIaQTsOqwnHN3ONOqhxuWbkj2UHQ80j5/JE4hMAmO83WEY1ak3uDfsm8wRQR3Co2l5IqZ9EDilppBFwQVlGJNiTHZHzIANu8WQa2PPLIr0JTjEkitZtusXmTzWHYJhixXaYqg2sxJNPyun1QSYI2oVgGLs2e1IgfqrfMMAgF0AfJBubimZkwemysY4E0+RMLC1wpAI6HorWvBnoEG4O1Dmr6lM3FsTMVFVi8yAJgVVnnBoNKzESqy2txgZqKm8zKsbik0sQFjOJpFfoEwfSsQb1hUbA9rjeTun8wEAmwpQWWRrhF9rTdMXcpijh1QbA8O0i/VEO5QBXuVkD/l2urQ8bmD6UQaQ6lL0TNcJMUkws4eQ6Jkd04xROgmCWzZBoFyNlJgelQVTq0gbmeqsDiRSu8ILKTQ0KaWEkkVFiqNe59QE4cI3IO6CwRG3eU0iAqw6omm0ozAjbsgsbuKQi6e0Hsk1QRF/RAmvL1ogsvBNEJkWHeqAcaT6yFNVB87oDQC0A7AJenYo3bIkDuUCeo2qgIoekbISL2pspAoYQ1eWJsJ6IDqAGwE3KUHWZIhprE39UQwuIOJSLN2Hc909AaWFFACYFI90AKjv1RpMQjEXgoEik0tQwiQaUJBRMCNMiVCevqKqhakDUBI2JFFN4JEBGK1qJj1UIEmm94UBBki0FJMDmKalr+qkCZgeygHSRE9ECLnSJiqJAtXoaKRvECN0CuNKbmAQZULA3bbdTTBBiD1QJc1xLZ6QbIox2nqUp5RIidwAjPLMUCBA5ouBsUEAsYB/qgKEaqQjc8wmd94RPeRI90QkHep2QvqIgT22RMRtGwQoQJqCOqAGSIESChLXRSt4T/CRelPRJQtE16iUAqWkQELk0FutUQASe3dGu5EjqgXaYmptSihivKJ6bKAkiKSfZR0uBOkgWlBKSKlvvEpWuAkneDIooNLTGrSTWClAkCeYb2QF0GAaRW26rglpilakpgAG6BT0ulLTNtW8IEIgAfFUKadLgGSK9bIn4hBHeikQYaAPzRCjmOoua6vSEQwag41IoEYMSJI6kV9kCLgO22EIpABBBN7CEJoa1ncQCmIFA06RCQtbJJ/sEQCBcwepFUp0kkETBmyb4aNAA3nooYEgzJO6RSxMAyB2UbIcSWmg5qU9UCAJgmdjtKmlwcDFBSlEAIIAMGfVQdCS2KWmeykQWwRQQZG3RAAn0sZoD2RC6QSRWltoTVggisQTshQjnp6qUFYMCkA3QhbgkHbcWULhLjJDhMUpPoi410uBDjeIooC4sbpo6KwQipN3Cp2cRT+6hbXTaW2n6odNRBnoUGiDWaGokAwh8RxcQS2BWpjogegiJm9PkiBoMxJPeyAJI+Fom8oJLgwimoxUx8vooSCSJLRW1DsoIiNpEA7VSyagvPM6YHf+pRKJEaonXatSDsCiQdemgoaGRKgjmkaRMVdf+1UWgyY9Yj8kXp6vTQCD0NKIOBNwYvREQ2fxERMCKH9lNpl5rpBqFpyI10yJIPdAlrm0q02oiGzE6g6Ll1UZiYdUIEYIklxmemyBEEEyJHSwlOGloMkAm1LoO5jpBExIVIR2meWHybkpHNGo0MEb7U7K95JMgfFBuqy2KCKggHr3UqMmKwRStKQsOOwy4gQCb6Yp/VdZ2CTQNlZMzlpguma9lWnDzEiK6Wm5hcnNYhY4GDO0gQAu7mcq+kVkU9V5niOFiMBA5mxQdDMysuk7jnZ3NhpcPhAqRY/2XLxs40AihabwLrncTzT8AAVrIEGpovI4/G8RtA50x0oCFjkmb7e1OeaX8uprSJa6IqmZnQ6xdp+Js1lfPWeIiIl49DNP7p8LxG1jA1jgBWf6qaSPoJzloJc24BCYZupIDQBczX3C8GzxA0uDjVtyJvFlbh8eZDT5lZBHYK7Ex7luaaIJI1tBMXVozUuiC6siRT2Xif/ABA2Gl7gdXpRaGccaGkOdBEC9SrrWPYtzNy12o1JoFBmLNPwigB/NeTHG2PEapdWNtVqeit/xcA0dyidURPqjP16f7zyQZJJsIkqHMwJkioIgd15v/E4c0McAC2KmI7/AL6p/wDE9Idpe3TNIKbGsejdmASYdydJoCEzszQSBtegXn28QFDIgWCf/ENNyC71qpur073nyBzDVIgHZM3HEulpkzGr8l58Z5jgOoJBMilqKw50Bw5uUViZQjuDHBPpuREJHY+G4GQ1wdUwuS3NhwOrEo42FVY3NU+IRUwNkI6jDhtnQ2aSJNEwgtsaCnai5Lc0DABIFU/3jSC6hA3lVXS1ltBbvKIxiwSPh6i8Ln/fAZOqwQGZlohwvcqDq+fDwHTas1CIzEgQCIO01XKGMGgCYvFEzcdxd8Uzug6ozBgRp9kfOMTI7GYXK86CDQqNzMwTVUdXzSA0arTZtaqefAvI9FzRmRJNoGxsUwzERBoTBJ/VQdPzWiDUGsmd0RjAQZgk1XMZjAVoREH3RGOGarSTJqqOp94aKl1ACZmgjohh5gP59iBBtMrn+aJo6myIxQIIO0UFCg6nm6iYBJIoiMbSKmCNguYzGMkO+E+1VYMe9YEUhFdFmMdVAfeitGNYkVMbrlMzAEQQTcq5mNOnmgesKo6oxQBShmvZWtxq1FRvZcsYsCdRmkSbVVrcYaAKUmkIOoMUAA/h6QrQ8BskyZouWzHBaCIgmDVWjFLtJJ1GZrRB0QZkTFfmnbiTDTNLQsIfJJdcgD0KsZmATGoR1pCo3h7aOvFpFFY181cIWNuLy7daKxmJ/S6rONfmHUwEwAT0qrdRLpNp+axNdpeIkaWyPmrWOAFaCiDUHwYFSaeqsZiQbwDSJiqy6yd6RXqrWvBtfruqNU8tQY2Moh4MRX3VDX0oaeqdpdAs2KFBcDMzBb0TMfQge3os4MGDXc1Tai0iKDdQXhwA6D8lZqHzVAPdMH9bQgtDq1JKIcJt6lVTUbqTJAFUFpcDQhERHYDfZUg7mv5Ij2J6ILdQmmxpRHUaT6qmbTJhQ4k8rRLtzsP30QWnEadIAlxsFG1drdzO9KD0VYhtyXOIGp5uU+qWiOYHogtFhWVAB1qqxMySiTBMgeiC2aEb9UpFZcJ/RIHCBM/JEHaKGLIH2BIp1QubD1QmkGhU1ACJt0Sgi0SRNLKAE3r0hDUd6iFJg81uyixBE3+YUAg1gdQCoYI6KTpm1PmoYAEbADfdR0nsL2RaTQuhS0gOodkCEEiKesJY32P57Ky1AoADtZEKAQXVkzSNkKgmRsoIjmrX0UgD4rXoipTe4U0to4g9lIdMuIpal0SKUAJ7VRC1DhFRNUpEG3rOyYgCYOk2UAtBp6oFgQKRPdLp5pk1iTCeLRtKWzoF7oIBdobE3pCSTIgTuRum32repogTEGJKASJvCDmjZ0HcpqgVMH0SuAsInZqBNN4q43EIFoJIg3meicyZ5jA3CBaBM1QJeCCYnr++iSgHMNRrt1TgQSI72QLnRYkjZAtZIc0Vg32QEuGokAmumLIhoaaCIPS6L28swOpQKK0Io2xlB0TytMmhhQta1xJcZP1UBGro0inYoFDjaARsZmiAIJ/mm3onAOogxe6R1afE4TM+qBXXfaRfsoBAvEzIrEogVmhm6nlmKEOsZRFZhxJaRNIIKlXUNB9Si5oEwAIM8w27JXsvQE7TZBABaTIFvyUAEAERqM2lQbi8UgUUc0aQABEWndFCWkkOESdIpb0UgupMACwooBIEXNx0CWARzBoPWUEdJaIk7mfogBQDTq7lTmiWuIHS/vCBs4nUXkRU/mgMAA6qjem6ENIH80xGqErWnUZgxRpFSUTWRGrrJuUQRAMSNXYUAQLdI+GSbnf36qEgRLgBcw6yUjTd0m5M3RTO5m/FEnfdRxa4Frg02JHfsgAWxBEGrTKhbBmWgi/Xsh0YmSSYuDW6UsEQRDDAiFH6iHF1Gx/NCmkS4tvvqrCg9b8QIcQAdrwZUDAQ4E1MCe6ZwAIm1KAUqoGgzA5rDqCtztxzsCKEARAkA2olf8IYaaiiCK3adhBiiVgAJ5nOAFpsqvsxbpgl28mIQY4lxBAG8xFOyBigcJp9FA0OAESRs2oUXJBaZkMIitVNgIDYEzMo/CCTLqxBTNa4jTqNLwFUDS10VLgbV2SnBg/DI6Gy0NwziEaGxNYmIXy/xT9p2YOZxsh4KGE5uC44eLxDFaHgumowmmkf6iDOymrJK9/i5Vjw6jQCIiVyM7wbzZhlSCKGR2XzT/xn4udGvjuPJoZLWD5AQi7x14swwXjPufNpId7rOt5W/j/h0ua4iAIj0ndfJOPcLdlX4gLAADQ2le8zH2h+KA3ScRmIK1fl2uEX6LyHF/GPGuIBzcxlMljkiBOXa2T9Fm5WpMeDx31LQWhoAgA3VRfI5tNdrhPxEcRxsUuxMm3DPTDYYH1K5vnYrNQI0uidNvzWcajeXSCCTeQDB6VROI42hzooLrntzhIrhFsXOoOCIzrSW62OvcNNv0RenQbmcQggOgRJTszeO3lB8xsUJMn9/wBFzm5hjp0up1cLhWjFqDsNpiiiXHRHE8QOOl0ioMb+itZxPEqYbp2MlcoEhtZgCI9bfWExcQJJ0xWiqTt12cWewAHc0Mq5vG3NiZaNQA29Fwi7VUmhuaotfWCYMTXZB6NvHiSDqgTFVczjYIhuJBJ2Fl5fUdYOIYi8Dbp+SIxKa23B2U7XHr8PjjYJnVapK0s42CJcZkzTovEjEMki20bJg9wAEmb0KumPcf42xwJaXeoVrOL2hzQ0wJNaLwvnvDSGuIg2JTDM4tKwG3AKamPet4w1xq8aosIVjOKscIBGmKBeBbm8QOcZkb7QrG57EaIaRB6VU1ce+ZxVsEEitQAeisHE2OEmxv3O68AOKYlKQ3/q+as/xWJg3pSqLj37c+BpJIpt3VjM9LSZHsF4FvFzyirQRUBXN4wYA1Ex0KumR7o54CosSoc5LSRiViAvEt4x/qIMWlWDjMxDi6e9Cmpj27M6GtE6TcQU4zs7iI3Xi2cWHwivqKBOOLGga47q7Fx7Nufm5ANbG3sm++AAGx6zW68eOKkNqak2/VWjilQ4PAvdSUx68Z0EUMnaU7M00E6NLW/JeSHFRTUYBN1a3ijXSdddldZeqGabMyBSmysbmoisARQ0heVHFOYajHU9Uw4oBpBMVk9VR6f72AJJjcSbq9maBualeUZxAOFwCLCaq7C4lUEvBaro9azMyRqcey0NzAEmhmrpK8vhcREXJK2Nzuo/EGtNaoPRecNMSCLD0WjDxv8AUJFiN1wGZrmuDA6rQzMwZFCZk9EHew8YGKxvQq3CxosIpsBK5DMcEi1R6LQzFgAbBUdZuJSTbchWsxNIEnT6LmYeMJ5jXZXsxYEGRBhB0mvmZ3VgdNe1libiXJKsbiSRWvotDbhvAoaGVdhOJ2k+qxB4AoYhO1+oEyA0n5omNpcBEi90+qtSKLIHRYQRFUwfU1qiNTXAkRsicTluZvBWc4g2MDrCIfBIdBkQg1DFMVNbWTtM9Sb9lkGLB5k2sbEnug1hw2NRdHUJBtcLKH1mlUS+S2K8vWUGnWAQDUlHW0Cp9yshxg2IBLyKBEEuAOKZiOUWBQadTnTp1MZ1sXHt0CdjgwgCgtCo8yXCoM91PMih3oOiDQDAbWg6lWTIj5LOHT8NupRa/UaAiBFEF2qIivqnDom6oGJ1oPVTWP0KC/UBQEKWNSGHr0VQdWtNkSQRDRKCzXIpbrCLaHnPqqi6Yi8Jg4SR2uEFkzRxIG6IvdUlwnp7pg6VFizVfTHeqIMwbdFUTI7Sjq5T2ubUUVZOxUmDYEHuq9QIO8daol8iAR+SIY2Ej6KAmZmDb0SB9JIgnaUZnY/NASQCCCAD9FJi4nqlJFQQSI3UbG4MygciSBeUKH4RshNQZkesqGoP6FAHNmQLGIUJA+L2UANdwobwfqUAia/kgaGplEEG0QgJkWm5HZECKwaRdACpkQes3CmnYW9VKQbUtH9EEmBIJ70SzcRIG+6I5TOonrKGxLAaXisoEkb6tU9IRuamiadW/uSlLogyDTcxfdAp1OEgkgGwPZBwkGYmOqLYYAAGNF4AiqmqJJIjoSgrc0aeX4dgp8QIFjIi/wAkxiYvOyBk6YfA77oFjSTQl0mBMpS0TImO/T2ThukzAPSEDzaOWTO2yJ8IRJaAfSimkg/6SJrb1U+NpcwhwpUH990NILfY7A6UUhaJFjWw6JiXAtBl0x7V6KPc7RDjqm7mgDdCgeSOUE09UQoa5pDTWB7z/sobGJiN6JpqQCHNmZGx7IQSA7eaAooA6XQ73/slkXjfdEiQSQaHmpCBkXJ6UNkCkBsFoAEgkzb0SmwFOoTlxElxilINh+6qEyCZJkwKURCQQLdqlK4FsaQCQTTV9VYSSJFadLdYStsPnf6IAQ3W4WmDJP6IQKkEEOsD6I6zDZBoYNI32U0w0CXCYmakoASQCTqd0HRQg/FFJNLKU0iat3gwpp54IBtvb+yBPiFADTYoljRMtEACAKBGaAE6tO4uFC5rRWWibqKWA93+WySYgj9VBymA2PkmcJIBhs9CSECARUF4dcbmsU/VEr1xBaDQ1KU6YIA1OtEWULJaZIkmDSFDEFgoJsaLblPSXJIJF6/qg0ACQJNzS6Gotc4PPKN9SLWiZBqAJk2VXPoiJ6TfspyjTUR1/ujzCagk1p+iYgRJiYBhD2LQOUAggNinTuVYysCaQkBBhpgmIMj6K6S42p3EelEhrxX2mcePDOCYPDcnieVmuJEhzmzLcAfEJuNRp818swcqMvhN0BpY07NFo6b/ANl6b7WXYo8XcKY7/Ldk2hriNy5xd9QuBh4IDm6Trc02ET/sYUazpX5TGSG85kuJjrtKr8oBzuStDIH5rc7AZe1b6oIlQMaXHljUTppbus2rIwuwDqb5bWO5geb8PUQufmsqw4riMNuI6AS1zBIMrs45ADi8gNmSZiF5fMvzXibO4HDPDuFms3nMxieS1mVYXYn/AFXgDq4ork8U4vhZTiOHlGZPL4pLJjzCcWs0a0dep2VLM23MkffOE4+G1zBoeWFwNTs4CB/Qr734N/4acvwvGzub47nsngYubaA7DyuCcfHwjNXjHlpYSKFolpBMg0XuMP7B/BRaG5ocSzktp5mKzSwxEtEHSd5BmVqeMXc9Px/l8Lw/xjMDAyrsu/NOMjBcND/YSFMbwXgOBhmLh0PMw6jPSq/Q/jT/AIcMjkOEcQ4j4Uz5xxlsF2Zx8rncIHG0YYL3OwsaTDoFQYDgNivleQbiYuUwXYo0YhwwXVm+/usWLr59i+BnD/KxyIE/xMOsey5+J4TzmHOl2G5oqC1xEr6u7LAHmAncwSIVDsvgtbOI1haBL3Ex85WcXp8kxODcUy4AdlcV1LsDXAEdIWZ33jBEY+FiMIvqwyBK+gP4wzP42Pg8D4bi5/yXBj8VrToBPU2FSBJpUdVmZl+MYxw8XGwW5dmM52C3KZwOwn4eKyA8GhqJgzAsrJanUeIbmalxYTFJBttZWsxMAgA4hYDMnEwyQPlK9BmXYeFj4eX4pwwZfWxr2PIDw4diBWZTZfhfDOIY+I1mVzGS0EafMfoLupaFm9NTtxsLBwcY/wAPOZMmgGrFOHX/ALgFuw+BcQzBnLYLcwyRHk4jcQfQrTj+D8KCW4uM1s2cwOEeq5x8LuMjAxsImSBylhPeUF+LwXiGXJGPkcdh3JwjRZvuuK2vkvIO+n6rXgZDxJw3Qcnmc7hwBHkZ1xAjtK1N8VeKsiIzWI/GB2zeSbiSesxP1RXH+74lyx4FRZB7Y06wakixuvR4P2i40aM9wXheZpM4bXYJ72MLoYXjfw7jt/57w7j4AMDVgZsOA9i39UR45zS38L27il0GumSLE1mhHVfQcPingbOCH4mcycn/AMzLDEj/ANJ/RbWcD8IZyPunHclJJhuLrwzHu2FMNfMYBbWOkRROKA8v4aU/NfU2fZvlM4QchnMnmxc+TmcNx+Uyq8T7Jc5hgluVxwP5vLMH3TGtlfL2yWnmIMSCi0msUJpRe+xPs5zGHEggzWlFjxPAWZaZbJ2hTtXjnP0DmkDcBNrAAAmt16U+B82PiDjWuqtFRieEs00nlPSYRI8+18WMzArYJ2YpF3RNZ/TqutieGc20gaCQBeFW7w9mpBggRVFjnNx3D4XEEbwn+84gpqI72hbDwPNSW6ReIKQ8Ix2kEtg1sEwsVNzWIYJcJuapxm8Smo777oHhmZBph2NIUORxgTyfVCrf8QeBX5KxvEYIMmVlGTxmmuGR6KDLYwbBbM2IKdo2t4jBEh0q5nEiIiQdyVy/KxJEMJO1U5wcVt2mJtFVTHcwOKhp5THW66OBxVroEx9V5IMe0tOkgjtRa8B7wYIiNpTaZHtsDiLHAgmDP0XRws7qEyb9F4nL49RBLSbrp4OYkmZAIsbK6znT2WFnRSDJPay2YeYJAMwTReVwc1yw4+lV0cHMgRBmaeq2j0bMcbnvZam45p/MYmKLgYeZis13WvDzJir91R3WYoi5v0WhuKCQd/ouLh5oSJNJoVpbmRopXqCqOw3F9z6WVrcXmtTsFymY4JvPT0VwxwHATUIOl5oO00tN1YMSwmwXN8+PmnbjCS6UTHQa8Rcwm82BQTZYPP3mg6ojGDZrYIroahJMx6hE4lRQgFYhjQTJpeVPvJjkg71sqjoedAnYCklAYpc4aXFlLxX2WPXBkmTeSmGONR7DqhjYHAaomfn7otLg8nzDH8uyyDErUynGLSZ9Ag2h5iDb80W4m8R0OmxWIYoA2nurBiTFSCURrD4gEgn5I+ZYfMysrcUilt6JvNBAF52QbBi3NDIRa+b07LJ5pmw0+lU4fSKUKDUHhx7Qma8C7ga77LIMaZAO3zTDENiZ2Qam4gnTUAbqF8TFSs3mRM1noocWhkU2hBq1bxE9NkdcnYDcwszcQbGArA8ilulVFXteAKih3/REuAkgAU3F1TrBMd1NUE6Zn8lFXh14FUJqKKprpOx90RiGQIsgtLpMTEKNMw4gKkOJExXYJi/Z1d7oixrhTSI3ugSfX+iSaCbRCIdSle/RBYHAG0AVugX3oJKQOh0EwduiOo0giEDaqSBPsgTDoIH9kofakkDqoDUkEoUwNIgDshtUFDUQYHwxcFDVG8jdEMRzWIgJS6fiBJEUKMg6j0FyKqFx6yI62QEuINRXaihIO0gHcoG1fZK4guO8kRAQR5mR1QMmDd1jHREmpgj+iFqwJudkEuKaSfWiWNQERI+iaSdq2QJJtQ9JsgQgaTLRSoRmCTTSazOykgmaRa8KAiaASJ3QLFZkmL7BQhxvQztZE11GrtwY2SxVxNh0KGlMP/C0E7kboQKUFe6Z1gBHWCeiWokCAJvMoiahIg2N9VksCkNAkHuo5xrpIBIMwJol/FUyDYmUDEB4ihAgmAkJaRAN6mNkTJAAHfqoXHVMFwPf6IFcJmWVivQyo4xSloPojNZDuZo6fVKBDQAZgRTZFQilDpPpt2SyImAaEyLnuppgyR8RO8qCC0Dob2/3QCBA1CwiTT5pXENlxMGeu6MtBmKiJilEIcG6sSSATc39kA5Q0BxAFrRO6gJmWCYNYMqDVJnf6gqGCYAN6Ht3UCgsIBaWgCppsjQkDTT4pqKI1prj80A0umb/AIievdVEc4MOp0iTcjbomm5BIIFdQpCGxEiCSATUKS4fCZLhME7IdgSJMkyKEDYqEj4aT6Qo03rMbxVCWDVYgGLUFLKQetDZggnVPMDJStbIFARPSqYyCASWgUIlANdBG8yOq25SakH8URX0hEAOPNNrnolZBLhQz0VgBbEiSBsaK61gOjQImDBgGqMgtOqCD3lAtmdQBBt2RDS2GiDURI2HVIHLQHDUQZNK/JMGtnlvFP1SNBmRT1/oiRAbA5jQABEeG+1fwrj+IuDYOc4W3Vn+HA62gVdhTJgblprG4JXyjgHiLA4q04GpmBmsKmLggAOaRSYK/SbS5unTAIkkdV8h+0r7E2eJcT/G/CTxkuLiuJgtxBh+b3aTAJ/0kj1WW56yuL5zXglrmvJNS0g16LPmc7hZbDGJjYhaKmXGnqs/D/sx8XFrW5rxd4d4OB/5XEfvWDjsndzW4DmmP9Linyn2Gcd4xxlmFxPxFh8Q4VhuDsxm8rl8XCwcb/8AbYcYNe7u4NjoSp21HN4Xg8R8c8VHDOAZQv14ZnEmGMFeZ87d5X6R8A+BOG+AMi45INzHE8bDa3N50iHOApoZ0b+e6fwz4a4Z4U4Zh5Dg2B5TAJxHmr8UgRJP6LuteQKEiP2ZWoxa6TccBx5fraiuwnDFfpYTO1dr706rm4by4wIEgm8Bo6k9AvkHj37Rhx4Y3BfDuK5vByfLzWbaCDnIMaG/y4Ui939hcRd9pv2j4nH8HF8OeEcYjhLsTRxXiYIH3xgvl8CP/LJo95jVECRJPzV+B5TpGG1jGiIECmy2YZY0hjGhsUA0wCIusfEs9h5LAe/GcMFrLucYaPUrNbinHxW4GC9xBDWiSAZquTwTw3x37TfEGPwfheXOFlsFwdi4tNDGxOvEJoP+nei3eGfBHEvtQ4ji5LKluX4Jhu05/NvGpmGIBoR8TzYNB9aL9VeG+B8K8IcFyvBfDuUblMhgtsBz4rt34jvxOJqmJrw/hX7A+CcCGIeKcTx+IvfhuYMHBy2GzCw9UEkOeHOJEQDAAk0qvTZv7KPCGbOPq4fmsv57g7EGVzIwBI3AawAd4uvVtxdgHbgKxj5dRzWcpJc+jQBUkk0AAEknYLRr84fbD9ieQ8N+D+JeIfD+fe7h/D2Mfj5XPBhxMMFwYPKxKapJA0RM1E1Xxvw9wIYOBg42YyuWbmA3S3EInE7+i+1faf41wfH2bwOHcLDn+GOHYxxWYrxA4jmQCBjFt/LZXy5qSS6LLxbsHy8MjT5jjYTdZrUcV+XLWOxMcnDw2iXyRAH5hc3jOd/wjJtzuFg5fNAuDRhPfoLgf5epF/Rd3P57Dyxw8OWnHxJLMEgSYuY912/s4+yDP/aPnczxTjGZ+5cAyzjgYOO3DkvdQubhg0JFQTZZ9q+ODxLxnO5jGwOHcPbqwX6cYMwXPDDcAmsTFCuxlsxx3DM5vh/3I3P3oYmGYiZ0lskbyB6r9ocI+zPwlwTCfh5XhTsyMQk4n3nMPLXzcnCYW4Y9A1dHNeEfDeawm4eY4Bk9DXBzXYevDc11gWua6QR1V4w1+FcvxnDzuYGW4jk2YReAcN8DEZiAiQQ6BfZbn8E4dmajIYWrctln9l9U/wCIr7KsjwXhXC+KcDx8UZfPZ0cObk3sa7Ew3FpeSx4icMNa6hq2RVeAymTdk8vg4LcYu0Ngchg+0rHHGt6cHE8HZIy5j8ZmkQA14d+YWE+DcQj/AJbOFomgdh1+i9wMXEw2lmI0B+wLYkLlcR4hmGOZgZPJ5jPcRzMMy+VyzS5zz1J2A6qXUjyj/DvFsuQWuwnepiu91fls14o4XL8s/OsaPhdgYzgPTlK6/B/DH2j+LBmMbhnCsPCyGVf5eazDX4bm4D4kNeXPaJpYSR9FWOC+JnZPEzGDxMffWOGDi5LWxxGKXABoIJBoQSZAAPZWcgcH7UfF2QaG4nEc8cPYYw8xpH/cCurk/tt4oaZ7A4fmKxqfk2yfduleLzfGOP5LOYmV4lmcXhuZw36HsOE3Q+2xB9aXXsRlsPM4GG7NYOBiF+G0vHkgCSPom4uO3w37W8DExMQ8T4ZkMzhP/wAtuA12Wez1dqcHU7BdvA+0LwrmwBmOG57Ln/Ri4eKB89JXgMXw3w3Fd/EyjWkmmmVkxvCOTn/l8bFw+g1TT3TkZX1/L8c8G5rVpz+NgHbz8o6P/tlavunhbGaX4fiHhLGgTONmPL//ACAXwV3hvEwy7ycwevOzceiDMnxLBjycfDIPwc0T6dVdhj71lPD/AAXi2OMHhHGeC8Qx3TGFluJYGI81/lDpPyWnG+znHwnEvyeK31wzC/PxxeJtcPPwPMIrqAa4z+a6WT8X8Z4YWjAzPEskWiJw8XEZTaxhOiWvreL4GADv4YBIg1/qs+L4JbqBGECLERVeLyf2yeJMCGnj2ccBHLjlmKI6kPaV6LKfbbxZwHn4XCs33xMkGmO+ghOk7aX+CzIAZv0WZ/gsggOwjXcBdbC+2lnmBmc8LZbMYcTry2dcwj/tdK7GS+1Tw3mmzmuB8UyYJimNhPjvWKJkXa8Q/wAGaTpdhmgpIlUHwc7U46ObpC+p4Hi/wfmtIOPn8sXf/NyJdH/ocV0sDG8MZ13/AC3G8oAdsbVhGf8AuAV4xNfF3eEDBBAJitKeiy4vhRzKtY4x0X6Bb4dyWaE5TOZLMyY/h5nDcflKXMeBcXQP+XeREy1khOK6/N7+B42GCC2OiU5VzHVba6+18R8JBmoOY4dB3Xj+J8A8iTBoKUlTEjxODiOYeahtVacDMwRJ9JRzeWOESHUg9Fzn4hw3VMDokV6DCzVgST3WzDzVYBMdui8q3N3LpJK0MzsTBp6XWpWXrsHNSTzWm60tzIBod+q8rhZ6xB3WrDz0l1SAro9OzMQAZur/ALyQWwaHcrzTc+LkxWuy0Mz0wRJHRB6NuaF5tv1TDNExpM0kErzzc8JIcSTsJVozhfYx1mpQd/70CJJACf724mRBIFSRAXBbmgKmD3I/cK375y8rhO5mUHcbjw4jUTP0VgzEWIrvNlwhmjNKmP3CsbmtTamkRUQmjuDMEGjuYojHq4mbb2XHZmaXM/NWNzUzESTXfZB2WY3eZreE4xzOwhccZkQADtfZWtzADQJgwg6rcYGLqwYnLEgrlDM2qZ6p25jq6oGyDqDFqIiU/mSAAY6rmDGmWzMq3zdp+SDo+ZE/pumGJUavzhc4Y3rUV3hWDG5f1VTG9uIPbumGJ/qii54xhIOpWDEtEV+oTTG7zCOqgxJP6BYhimd7bp/N07wAhjaHzvJI3TDE0xfoa7LCHgwJ2T+dtMVpXZDG7zOhob9lDiTWKDaVjD5NKTZHXImaEqDW551TO9k/nSJJmT8lkD6AWNhWyIxAKUjpH0QavOBFAKxWZBCbWKmoCyNcOlPRMMQBBr1kGhTA1hhpCyHEmxk90Q+KxPQyiNOovEbHuoHkD0gVVHmBpuYB32UBk1pRFjTNDqJujqvcbWWfVLZmK7o6u/yCFXzFYmBWqkgUk9gqdfw7kTKGuAdRsiLwa3A7qE7X3VTTQAEzcpdQEjVXqaIL9RE7boa5EmQJ3CqbIuSaJvM1CghAQ88wMClkoe1xDSYcNo6/7JdRL3CbD9lIyYJJhznTKDRJiXb9Cj8RNB81UTUFxIMTHdLNy6PY3RNWdf5T1KgImnTaxSEggl0iKKNMOBbsdjWEDEkGwHolLvQuI3UIAN9MmJB2Uc+gLjqaXWQBxIEhpaJsVCakFsEQSJsg4AadJ0waUsEhBJAIg9SN0BjTAAEAyB2Qgtg/EaxWybUC6lYvBpKBre5NO6BC3Sa+wlED5CBQ1lDS2KRc0jdAONTdBKy0AED8XKi1pmvLBrJiVAAZrIFuyLWgXggGk/mgSDZt7CDbuo6dFQSIsTcqBsQIiNoQIIDjqAIoaT7opCCZkyD1KMSQfiE0lSpPMQKCpF/6KPEmpJEidp9vkiEdAkD0mJ90wbDdcBpMg91NMAUIJN7SFCIktjaoEBBCDWbSaTv2UaDBjlm89P6IOaDJdBBHoAjpMEtJ6GlkUtmwamaRWaqUIOqYO/QSoYFCAN5NAoRcCC0fCYIKCB1Q7E1CpsJCgbUgEmd6VUIJMwRMWrASisgAkzYmKdlEewLNTTBM9D+SUcjQdyLoCKQSSa0QxOUHTURHRa1gzNInTMOreITSIIeRUm30Ub+EwK9TRQAVmwNKK+l3YBEBogUoAKJhQgSKip2ST/EMaaAgJg0AN0iv+pWswGk0IcDETAmiLKzzOa4x8J+iAADqco02jZMIA1fiKii8wx7rGCRG1E2Fy4ekGwApcqp5HldphpItKsBpWpnYIbWtmNiYchmK9vdryAFC8lzi8yTQkme6zExDmzBVkSNzFbKo1YbgLRNxBVjXNEar1mVjG+oAUj0VgIOyg8/9puYzuD4A47icKDnYww2eYGiScHVOIBFagAHsSvzPwX7QOF42Bh+biNyuNFWuEGekXX65D4q0AnuJHeRuOy81/wCAPDLBiNwuBcDxMDExDinBz3BcDOsa83LC8B7B/pDo7Jmtyz6/OGe+0XhOCSMrjefjQT5ODzOPWl12vBP2f8Q+1hrM3xfDxOG8BDpxMXFw4c5t9OG03f8A6rNX3vG8EcGznktzOQ4ZhZbDcHty3DODZbhuG4gQNZwm+Y8RsXx1C9NghuXwmYODhYeFg4bRpZhMDWtHQAUCmNWz4PBuE5Dw/wAMyvC+CZXDyHDcqwNwsDDsOpJ/E43JNSVv1AQQTMwaLIHnSZtet0zXyJNIEVGyrPTfhh2I4MwhzuPwjdfHvtI+0B3GW4/APDWYjhBnD4jnMOpzhmDg4Z/+UDRzvx2HLfR9pfjTE+843hbhWI/ABwx/iOO2jiHAEYDTcCKvPeLSvnzMuGMDcOgaIa1sEaYUWYxBow9IJ02kACkLJj5puAx2JpuO9T0C2Z5zMLLue94bBqXECip8IeEOJ/aH4mwG4TsTJ8DyGo5/NA/AHM5cNtw55oQNgJKy0n2X+Bsx9qXGG8Rzox8jwHJzh51+IwNeXAwcDDOzzUOdUBtl+rsrgYGQy2DlMhg4eUyeXYMPL4GG2G4bBYD97rBwvI5TgvD8twzhWWZkuH5VmjBwm2A3JO7jcuNyVr8wAjYkUgq+kaPNrEgg16LJxvj3D/DXBc5xnjuLiYHDciwOxThN14ji4w3DY38T3OIAHeTQFJxDiOT4VkM3xHimZblchk8E42Yx3NJ0MFLCpJJAAuSQF+fPGXjHOeOs/gvzOE/IcJybi/IcOc7maTTzsUijsQiaWaDA3JDyvinxLxv7SfED+L+J8vjcHwMs1+Dwvhp0vwcpguM0IPPiugF7yBNAAAAFTh5VrGQA2WxDpoT7roQAILQKSK1+qx8QzWHgYTtLdZMmAAYjcqU7cviOfw8viNwS6HvcG0JcAe42/VfZ/st+xDL8Nwhx7x2MTMcWzYJw+H6y1mDhk8vmEV1EfhBAAO65v2N/ZfhZrOZXxt4lysNbOJwrJ4jYOK6n/MYo3aPwNO/Mdl98Di9xLzqc65NyUka1VgZDIZRrGZLh2RyrGjlGFlMNun3iZV2by+W4iwM4nk8nnmxEZjLMxIHQEiQlBm9YFKLkeK/FeQ8F8DxeL8WHnO1eTksmDD85mCJbhN7Ulxs1oJVR+dPt48GcB4f474FlvDmI/KZrFyT87n8rhO1+Q0kNw4cZgODXENNgKUIXknhos4hx6rqZzNZ7i/EM5xPjeYbmuJZ/F8/N4obALoAAaLhjQA1o2ACy44OEHF7SaWA+axZrUuMj2gVBrsCPyXleIP4v4gzn+G+FME6mv05jH0Pc7D7tY0ajJoIB/VdzEdicSzuDlMnhPx8XMYjctg4LaHFxH0awepudhJX68+zrwBw77MuA4PDeFhj+Ju5+IZ8VxMfHisOvpb8I6gTus+Pitr828D/4eOL8Y8L5bN8eHE28SzJ1eVgYOcGYy8TD3MdgeWAaS0OO3ePBeMPsu8R+DsPKZnPZDiOBpc1rBj4GNh6cQbjGcwMEk0Eke6/fZccQ/wASXE9TKswsTExAcDDacVmPyHAc3WzEn8JYaH0IXXIy/nnwLOY+JjYnD+KMx2Ztkv140OLgTVoi0U9V3DlXucdGI0MN+sdF6T7QOHcLZ9qHi1/hLDZhcGw8yzAwG4D3eV5jGNGNoB/D5usCKUIFFyBg4gYDoh0UMbdFys7bjI7hjcQfxvLx27txGj81S7hPC/LJx8rh4dauD9C05guwmBuk4jwJB6z0G618D+wrxD9p+Wy3F+El2YyOK0hrMw/7nlsEgxLsRzXF4MfAwE7kiymWrbHnsbA4Hg4rWDPYuC5xgeXi6wCfmhg5fLYpcOG8bGKWO0kOY10HpQhfc8H/AIQeCM4NhYYzeYHF34cZvFw+J4eBgF0WwmjKPdANZc6V4X7Q/sB454Xy+JxbJ8LLOFcOwXY2ZzGFjMzmHiNZEPcMPS7DfF+QNMStcWdeQbleJsP8LN5bFi8lzD/RN994pl3Ri4Tnb8rwR6qzhOOc/gy4s1tEvg1EiRK6jMPy6hsEzBCktVzWeIHiDi5fFbtLsORHsujlPGmPlS05TNYuXP4Thvez9QjrY0uxC1pIoaLz/G+P5HJubg4GA7NZ1wphYYqFeViY97k/tS421wH+JvzDDdmaAxw71mvyIXsuH8Zyfi3LlrcJuV4i1p1YAMtxR1wya+rTX1XwTJ5jjudypzLeC8Pw8iKea8vAZ11YwGhvu4Qu3kuJZzhudblc5gY/D875GHmcPBxaOdguEsxsJw+NhFQ5pWpdZe347wny3PcWyNoXh89gPY94sO4X0vhnHsDxLgty+cLG8QjlcKDH/o/tvtWi85xrhBw8R+poDt6KWLrwLsUsJqRWiDc5G8hac9ky1x1AAn2XJxcJ2qtgorpNz9L81wtDOIxQH2K4YDmxSndSXGK1veiauTHom8SDoAd/ZXt4pIkO09pr815kXFzvXqrA51NNypqPUt4pHwkg9FczilauPeF5Pzn9oGwTDGxGzzR6Jpj2DOJNIEv1E3V+HxG1Ymy8aMdwNDSeqdmdfTm3qnIx7fD4gCZLpNlc3iAgS+V4hmfLZvJV+HxEmm29VrkY9uzPB0VNBXsrGZ0OdJdT97rxzOKT60VzeJ70CSpj2bc4Io6wiJTtzQAgOoKXXk2cSt3PVaG8T1QPlRXUerbmQGifnuFY3MwD/L6LzGHxEuAg+vormZ6R/Qpo9MzNhtfyVwzOloM/7Lzbc7BMR0qrm50Fsk3p1VHohmtNomaJ/vBqLz3suB970uEOrSaq773JEuimyo7wx3aTDgLRWyYY5dIadpif3C4YzkCSQKXVjM0QZNR0KDufeDp+KesBOMY7ERfouKM3T+YisdVY3MCgbQG4CDsDHtLu9KqwY89oIXGbmriQDNKSrWZjqQfeJKDrebeKzEJhiEzERPquW3HArImYM7J242mKwOhRXU8wX6ItxOa8OrG65rcYQCaRSJTjGgiYM0RHRL43nuEwxKCZ9Vg86D8kzcanMb9d0G9uKJo6nZM1+oSadlgbjCdhsmGMQbWG10HQbiA3MHuoMSN9tlibiNFGgJhjbTa6DaHAC/T3UGJIFDMbLH5sAbgEwCm8wxIAt1RG7VJ2Psl83lPe0LIMSQQIiLbpvNkyeUAzJ2RGrUZA2TDEEaZ3n1WPzdPqUddKW7iEGvUCIApdHUT0WUP2n3RGJqmBGwrZBoxMSQLVgVQB0hracooAs+vzH9HARXZPrEAFvpS6C8OggC5M2RL3SZgxtRUDEAsQJ670U1ViZ6iKIi5xkg0MdDui4uMAQ4rO14gmja9U7SJMkGKxCCwOIqLbKatRi4NJlVzeY9wi54BpEb9vZBYaRUucdtkhiCSBSPVKCIrBoKRQosJMxAkmY+cIC4EktvWDSiEfyuIb3HdAGBDiPy/3TahqBAiaU3RQk6f5hF4opLtIAMdD0CmoQdPWsGyAcdifbsiCXSD0BpHUIgggQYBrHZI2OrRNpFEAzQQdM1JIO6BgOSZikj+immkOJtM9EvQETAgA2UNgNIMXk2lBDPLMUpQ27oEgmXCoHMDuEpABmAIF4rHZEBrQ6RBBMwNwgJgma22FShRlPkDWVNOmk1BoIqlLZ1HTqMzbZUMSQf5ZHQUSzSSaNsQmo2pMOmQIU0kT8I7QoEmCQIdDdxX90RDRFSdIJt+agAgGZsaKRpjm1OBqYoig4E6eYFQNpqadLbmlPT+6U806mgVieo2TEai1zmguAuBdSj1YEtMbCKE0TtoXDTNKmaJWtBoLA1MbKNAqSCT70WnOahpJ0juRvCd1gJkeqFA2IgxsgPhaXGDtX9wtJahLXE05SINIQc6nNECh9FDMugmgrI33RIqJtFKoGkuJivdLIaCSLbdUDy0btsmp+KZ33lOjRdLtGki+qIombX0mLbqqS51abiRpThokSb0k7IQx1EOBqd4TTIJAaeghK0c9YMzVHTrDQ4UEdkL/AEYGnL3pb3TF0UEh2w2VD3CWRQmYr2Tn4SNxcyhq5ri0wYJ7bp9ZBgfDANB+qzisAya9E8zGmgF5UO2hrrCYEyZMFOMSQAAASN91kBvem9lY0wA2JM0p9Uaaw4VFQIrKIMTImemyy66n4R8wEzHi2q4mQeiJ6fFPtZ+zrxQ/xVj+J/BuP95yeeaHZ/Khpc7BxgAC7SBqLHQDIBioIXlcLgnj9+CGtwvCeCYknG8T5PDNP9BfrB7ET2X6YY8gjZwsf1VvnOdL3SSPxTJ9ipjc8n5j4H9jfjbxfxnLZnxNxLLcI4PlcYOxX5Y+a3MNBMjDsHesRVfpjg3Csj4f4XleF8GwG5fI4Ew01c9x+J73buO5VhxHvfLnlznAGXVM9JTeZJmKxWqmLutD8YMqakVkjZMx0yS9rAASXPOlrWgSXE7AC6xteMR5ioFSJXn/ALQMrn+JeB+P5XgrHY2dxMsIwcMGcbDDmnEwxFSSwOHdVl828c+OH+Ms2Mrw5zm+HcriB+CDQ53EFsd3+kfgabfEakR56pMYYBk15vmvGcJ8e8FbltGfxBw7FEtDMdsExSley15v7R/D2WEZbO4ecxo5cLA5nHtRRrHfzmaZlWA4wIcJ0iJk+i7/ANk/grA8dtwvEfEjiYvh3zHOwm4gLDnMRjo0DphgivWy4P2WeG+Kfadj4nFuL5TH4T4bZiHDbiOcRiY0GrcPubE7AHdfpfK4GXyeWwMpksvh5bK5bDbg5fAwRDMJjRRrQLBD03+YXHm0tMDS0QAAKQOwRD60os0gDURadlbgh2YexmC3U91AJQJxDiWU4Tw3N8S4niHA4fksM42YxQ0vLW7ANFS4mAG7kr85eKPEnEPG/HDxTiWH92yuCHYXDcoHf/C4M7ma4jqF56wBQLtePvFrfG3FMuzheK/E8PcPLhlyHfw83jhxDsxpF2iNLCdgXUkLzrcBrWxqMxsborEMHTWGxqMyaErz/HeIfdmOa12H5oqBNq/v1Xa4litwMJwwWue/SYExuvR/Yn9ng45xV/ijjmEcThORxy3J4OMyfvWZbZ3Q4eGYtQujoVKse/8AsS+z3MeE+FO474hww3j/ABMB2BguA1ZLLXAPTEfMu6CB1X1Vrth6qk4he5z3ul7jJJ6oh1KfMKi8OEi8x1Xzv7YvHD/DHAxwTgmYfg+IuNYZDX4bubKZMy3Exp/C51WMN5l2y9Z4j8R5HwjwLNca4uHPwMABuFgMdDszjH4MFvdx32AJ2X5hz2YzfH+IZzi3GsXzOJZ7FOLmHNnQDZuG0GzGCGtHQTuiOPlMk3LMwsDBwxhYOE0NaKQB++qux2Ny+Hi4rpGkGY/ot4y7W9nXdO65GcZnuNcSweDcIwW5jOZrFZgYWHJHm4j6NZq2/QAlZV1/sy8GZj7Q/FzMhijGw+C5bC+88TzDTAwsKRpwwf58Qy1o6Bztl+wsDDwMtl8vlcnl8PK5PL4Ywsvl8IaWYLAKNaOn5ry32f8Ag7LfZ/4TyHAcq/DzGZw2DE4hm8MR95zMczpNdIHK2dh3K9NqEXutSFrW1xPaEmf49kfCvDs/4h4w5w4bwrLuzOaDQC7EYP8AygDQueSGAG5cFUMShAMkjZfDftt8VnjfGMHwjkHauGcHxxj8TcKjGzobyYfduEHSf9bv9KqPi2QyTsTL+fiZXD4diZjExcd+Ua7UMDW9zhhg7hocGj0WnyHEHVAitRsu35WGKNFRYaVyOM4jcrlX4hMuFGgiDJ6LGNa8zxrEzOZzOHksmXPfiPDMPDwwXuc9xgNa0CS4mwC/Q32Zf8NHC+A4GFxP7SMu3iHFcRocOEF/8LB3/wCYcD/Ed/8AtjlFjqKp/wCHDwE3Abi+PeL4QdmcUvy3A2vZGltsXNCdyZw2HoHkXC+9uIAM9FfGfst+EOYdgYDcvly3BybGhjcthYbW4LWxGkYYGnT2hfCPtJ+y3gWc4fk+EZvRwXg2JmSPD3GBLWeHs9iP1fdMZwqMjjvMseJOBiGILHQPumI6lCudxHK5biGTzOR4ll8POZDNYT8HM5fFEsxcNwhzSO/0ut4xr8N5vK8Z8LcfzHhrxblcXhnH8njeTiYWJhhnm4kSAIOnWRzN0nTiA6mGeVe04T4hwuPYTcpxPEAzVG4WO4gDG20u6P777wb/AGHxb9mjftQ4dg+BeNY+FjeLuFZJ7vCPF846Dxrh7OZ/D8y+5xsGhDxUCMQXxdX5bxG53hObxOH8cbi4Gfw8Q5fzs1DHOxBQ4OY2bjCIGJZ8DVB5lhp7Li/B3ML9TSNMzPVeVzOSLSSQKHZehy3jM5bJuweM5PEzJwj5erX5eLhxTS6QZItWCO6w4/ifgWZEvbncHYh2C14/+0/os4uvNvy5mBbqUPJMgwIhdx2Z4HmJLOI4WGf/ANzDeyPmEw4flsczlc9lcxO2HjtP6yphrheUbmZChZPxdLLs5jhv3Z38V7GCK6nhZ3YGHqgYuE70cFztxqOdoJNKonDIiRXsVvdlhZjmn0KV2VO8wDYGSs8m2EsJHXZQ6jMWMR2Wp2Wd0M+iR2F0A9OickZyCGmJ+aI/037qw4RgUrslOHQdAFdMoaiTyuKZuK6SA43S6CLGRG4UAvJNOycjFzcy9pgEx+StbnnAQXSN5WOKAzPYoQSZFyrqOlh59zQJNtuq0N4oQBJjsFxSIEihARkgk0n0Vnkj0WHxOLn1qtDeJTY6ZsF5bzHWkg9UwxnU6D6rXJMewbxMOHxQT3V7OJxEVBJ3Xixmnj06K5ucc2k1iSnIx7VvEGuIGqVpZn+8yZvsvCs4liXNJpVamcTMiDA3EK8kx7YZ9pA5hE2VozgJFQAayvFt4pLRqv6wtDOJUgON91dHsG5wEEa77lXszU1cYH/UvIt4mLyIiFobxEH8V1dR6tubAjr6z7Jxm7VJGxC8y3iIi9Nle3iAcBWv9E0elGaHWgqDKs+9ChB7gBecGekQCBO0q5mcBp+qaPQNzMnmNN/VWNzJIEOAAF5XnxnG1EhoPdWszgpWJ6XQd1uZFtyLqz7wTZ36rhtzVrnYyrW5gUE72TR3G483MHqmGY1ABxgHqbrijNev9VZ96oQHUNig7DccknuK0TjGIH5LkDMg/ERpB+SduPYUG5OyaOr5wBiQSaTRFuMCDWT0XNGOKEmYrH6p244gO32CaOm3FmxBi6Pm0mY/dlzW4wIpGkG3dOMxqJ5tRNBCujo+Zv8AS6bzbTaCYXN82SDBEdkxxtRrIFzSEHRGIBEiCbphiEEfWLrnjFJIrMGqIxxIEmexiiaOh5ocAAPcBTzKQen5fqsYxSW2INzOyPmgGp9TKqNjcWRGqpTF5FDc3kXWIYtBWYCY40CSbbTCJjWcQAdE2szUiJiSKQsYxQSYvYSnD9za9Cg16yR1G+yLHRABjuOqyHEBcOYAC5VhfBJkERAOyI0OPwhzo7j+qOog0N9j/VUNe8ESWjuiXXBn2QXB24tFpSXdBkGphJedJLa+tu6cDc0ERJQNNRqEmJ6o2qBoB9iKJA5tj9TcbqahUGabzdFM0QKV/lEz8lIPyMHZIHj8Mz1ixTDSKNqDUoDUgwNuv1SgTDZMUiJUDpn0/CEk8oMP6/DJrsgIoKROqxvKYaiSRymAabIA2IaQI3EFSgkDT3rZBC4h022vCha2RaaxvCgktJoGyaiwKglwkCmzvyQQisEEHoJQJInTqAna3qhoMDSTA7UUIkCtP0QQmpMgHaTUeqADjq3bB3OwoEC2HOImIiWjbujpmJ1VIrEg9bqFevIkGS0Gwv8AohqgCDB6FQUBDbTI/RTTJ+GXD5rccxcYbUgTMgqNMtAxACKgnrujFy6LXvKBuQDMRWYBVSlHMD8Ugx1FlC2gLmh1+yhJERO5PonOGSBAAgiOg9UpPRCbxOxjsiSGXpJO91AZYXAzWpHRODQAGHEQTuAoK2nS40JAuCFZJJEXBp3SMBOqQNJ73TloLjAInaVT3DF2otDhpgm23qgREE1lAxXaDWBcoAT6zQA0QoxpsDBuCi6LMEG9lAYFDW9UQZiljeURDzDSKk2Ka0jTDo6pSATWIKlokz2UWXDNgUrciqJMk97KsASS6JJoQU+oPgVBOypp2umoE7XU1BpETI3/AEQDhM079Up6tqQaf7KKta4mthCdrtUCkjoP1VIMOkkAp7k6rgFUW6iTBEjeRKUatTi5zjqMwYSBwb8ZAgpi64p81Bc0w0SASKXR1ua6WEscDRwMehVIMQRT9U2utaRaFVjlY/hrg+dx8xnfuGFgZrHM4zsHBw4xT1fhva5jj3iSlxPB3BMzhtwc7lGZvLtIc3Adl8DAwz6jBwsMu9CV12u5WgGyZjmkctTUFRq2xfgtw8PBw8HBZh4WXwmhuHg4TAxuG3+VrRQBWlwIrEHoFnGJp1Aj+6fWBBoQOqguOJpEkwNjdfPvtX8UP4bw3LeHuHvazN8Xwz95xNWnRlBILQRu8gtptPVe8D4JG5Miq+V/bT9m3FfGeDkOLeE8wRxrhjNDsoXhn3rCkkaSaawXOoSJB6ipY8VlstgZTL4WWy2GzAwGMhmHhiGtaPwgBHNYrMMN1OpHf81x+H+GvtGc0MbhcEY4EtP+I8UwMo9p/wBTcQtcPeVWfsl+0TxjxA8P4pxTIcO4SXAZnNcOzTMxglouG4jaON6NnuVFdLwz4YxPtD8SMyOBjYmFw3LtGJxHNYLy04eHNmn+dxENHSTsv01lcHL5HJ5fKZHAZlMplcNuFl8FnwswwKAD8+pXD8N+HOG+FOE4fDOC4RZgAh+LiPriZjEiNbzuYFBYBdprpNAJ7oNDXi3ROxwAcXPbhsa0vfiPdDWNFS4nYAVWZuKZEgzuF8o+1zxc7FLvCXDH0dpdxbEDgKGC3LA96Of2gblCvIePvGTvHXHmZnKjFZwLIa8LhmE4Ea5o7MOH8z4p0aANyuNhseWgYYcXkQJhTAcctyYmG5rZkwZK6XmYbG6sKGsDaoOXxB7eH5Vz3an4zwQ0SDJhfUvsN8Ct4blf/F3FcNmJns+wjhQeyuDgH4setnvs3oz/AKl4XwP4M/8AaP4gc7ijHjgPDMVuLmHNJaMQgyzBHXVFejR3C/Sb8Y4mIcRwa2bNaAA0WAA2AFEVe10R6bFWNdMRv2WVr9PYqxhBJ1PbhtAJc9xgMaBJcTsAJPsrGXE8d+Lj4N8MZjPZVwHF80funCmxJ+8ub/mEfy4bZefQDdfnXK5NmVwAwF+K8kuxMXEfOJiuJlz3E3c4kkncleh8X+JD4y4+eI4etvDMBpy/C8J1NOXmTikbOxHDUf8AToGy4Z5TBFeoCCvMUJ5tAFzOy4/h7wrm/tK8bZTgeUe7DyWGfMzuYMxl8u1w81//AFEHS0bucOhR8R8Q+45N9hiGQARO1/ZfoD7G/Aw8B+DsM53C8vjvGQ3NcQ1iHYTInCwP+0HU7/U49E9q+jsZl8thYOW4dgMymSy2E3AyuAwcuFhNGljB6AIl1K9KrOXiIP1KJxLCZVRY54IM0VD3UPyUc80mslUvcSBWOyI5XHuFM4xkm4BzOJkM1gYzc1kM7hH+Jk8ywyzGZ1g0Is5pIN14n7TvB2F9r/CM34jfk8pwzxfkdGQ8QZJ+IBl3Y0AYTiTQYGO0zh4zvgdpa46dZZ9DxXAx3XMfjZrhHE8HjvCsozP5rAwHZXO8Pe0FvFMi7/MyzgaFwq7DmmqWmjiExdfifPcH4lkfPyj8HHzLcEHCw24p0ZnALKHAxWvI1aSC0GdbY0nUAI4OLk83hA+fhYuF1OLg4gA9w0j6r9o/aJ9j2Q8WtyXiL7PM3hBnFso3FyWZzmK1mU4gWkjyMV+nVgZprYaHO1DFOGQ/S8Er5TnPsf8AtIyQM+DeIZpuCNc8MzeWzcT1GFiFx+SWYu6/PD2YjsPEw8HMYLMaIY5uYZqaeukkfJegweI4rmg5vI4zmC72YJcPWQF7vjPh7xBwweXx/gHHuFiNUZ/gGYgj/qOHETvK8m/L8FxMUhx4A7GLhLgz7u7uRGkz2WLNVTlM3w/NZhmBhY2GzHedIZiEMJMxFe67Oa4JmsjiFmeyWPlX7txMItPyWbF8PZXOYHLmM0yTAODnHYzCJpLMTW0j6L7n9hPDA3wtxPGxXHFwcbiDG4GE9n8PD04DPMOE0zoDnuJIFARRcfLwrUr4a3h/8rb2mhRGQ5Zawkdl+uMfw/wzNCMfI5d5tXDaFxc39nXh/MmvD8PCd1wzp/Jc+Pk1sfmL7niikOa3ugMo4FwMhffs59j3DsSfuuYx8AmYbMhcPN/Y5mGgnJ53DdWYeCLqcb+klj44cm+pA9UpyhrIrFl9Hzf2X8cywnDy+HjAbsft7riZrwrxjJ0zHD8ZvXS2R7KY1rx5yjpo2fdUHLuBFKSV6N+VfgvLcXCcyDB1NIVTsAGxA7JF+OE/BMEER3VTsIm4+q7zsq2xaqHZJpq38lexxdEOG9bpSwTANdl1nZClACPzVLsk5raCSN4TTHNawxSyjvhE1E1Wx+UOkgiqQ4JkzCckxmgwQgDJtRXnDO5kwk8s/wAvqrpisHtHugXR8Neqct02AaUukAjorp/SB52JEqxuM4OvXqVUAYER8lL/AITZXTGkZogRqKsbnnAiDBHbdYocSQTprZAAyIvNYV1MdVnEnbunsr2cUixie64YII6VmiOs6omKTKaPR4fFKXPoVpw+KVJBMU36LygxXVIKcYz4MkkbQkqY9e3iYkVgE0rurxxIGGlxkmhXjBmnUuSrRn3iu+5qtSpj2zeIzQuh0hXtz7TFaiN4XhmcQMaZ7k91pbxMyObb5pPI9vbDPNp+LutDc6CZ+nVeKw+KT+IAWWlnERSCJNLpqY9i3NAEkE0mCSrG5oanGxpVeSbxMVBcYn0WhnEZHxENnYq6Y9SM3tO8zN1YM2AKN+S8w3iUgjXU95hXN4gDQkHoIVR6YZkRBmvXqmZmIpJANqj5Lz7M6L6oJ6FXN4gHTWZqITR325lrheQTSLp/vABJcuCM0CDJlWtzYGrQ4CbGbojuNxzqaCeW3srW41RVzIEwT+91wxmoHxSKyP7qwZwACT1Co7X3hugkmYjfZHzQXS0nTFDanuuU3NCauBi+yZmZ0tM2PU3TR1Rjip3BkhOMWAdBInt+q5YzHNBtCduYa6uI4EGt1YrecYAw4ExSbR27K5uJpMxDeg2K53ny4ASXah+Hsrm48NPw6nRQ37q6mOizGkg1mYVgxCIIIque3FiGuMmL3Vrca27otsAit3mcwmp66U80IJPUwVlZiAnlit9lcHGDBAdN5hVlcDUAk1E9UQBpo2Qan1VLXu1SOgVmoXgEdwguAj4wYJr2Ua0QIcJ3pMpCYc0gCDT0KaeUkexCCygkgiZNf36ITDaaZNIi3dS06iCB8VFAdVyDP07IG1UM1mg7oQ2ok6YrO6mqtSKdAlDqDY3qiamkBxMySOqcTIsXR1Qa6IhwaLiLyEvKWAEClhH7sgDXaa6hF6CqbSQDqrIPuo0npQUiK9FALA8pPUX7IoBliQSDet/ZAgsJLXEtFhWSoRQiwHRNdwpJmUCObAkw6sgtJoPRQ6SNRNY3FgmBlrbajIIshMujlPSQoPWyHuDiCIuCiHQ3m+KaGIQYHACCQTMyeqNCJn0grbn6iOkAtkDV1AmqkkgRVpHX8lNFTqAt0RggOPSgmq0zgAkTaTQ7lM1htUXQJkBukSQDQ0VZYPhxAIMUrdRZhzy3JvUFAAaSam8mUCPxNkjfoo4TMNLTc1p6KpDMdAbUF3p9EIIMk0Gyh+KKjrNf9lG6gOvYICBqcDelKJtMikgG0pQXC7aCblShBbFDt16qL6OBqkgk/RQN0ujTE9KoNMEgkiVNQBkEOpWFfRO0c4Vn87qGaEwIr2hAAzNJ6dE0GmppmtVDENKgUj5qAyIaRB+oSyA5tIqjczUz3RT6g0GTRtLIir5IIBNyEhA0nr+ak6eWpg0OyBgCADYVpb2T13A6dFSQWkGtOhVnQ83ZCmN5ofa6JqDIERNlWHSKkdDWEwMWFAhgtcHXkTEBw3UeeV2uSK7VKDaUEkRsldOkikyB0RpeKREWun1TAmQFQDO9AYoUdZIIvA9QoavaSInbZNqIi9Nis5dFrGx/RNrkGDUikoq7XWRQJXPBEQI6FVOd33p6Il5EdJ9VBoONiEN1PJ00EmYTuxHPI812s96/7LHrgEggindWtfLoExH7KKvmRG25/REOkEEz7KiZktMJw7liYMINOFiBr8N2J8IcCfSar8leJOPYvh/xl4h4T4mwcbBzLc9jYrsV7ZGK17y5mIHbgtLaz+S/VeuZE1/Rcvj3hng3iY5d3HuHYWbxsu0twMwRGLhtP4Q6st/0uBHZB+Z3eKOFDCl/EsoGXBdi1/v6LHwPjeL488S5Tw54Sy2ZzmJjNecTN6S3BYBeT/L1PyX6IZ9lnhTDxC//AAPguLqBB8/w/kcQ+urywJ7wu74c8McH8J5fEwfD/D8LJ+cf42JE4mJWQC7ZvRogDopitfhnw/lPCnBMrwfhjnPwsAF+Jin4sfGd8eIfU0A2AAXXDt9oWcOr27JxiEi8DeVUXtfMy6YGy+efat4pOUyLPDuScfvGewxicQ0ugty5PLhdjiEV/wBAP8y9fxnjuX8O8G4jxjiDHYmWyGAcV2GDBxDQMZ/3OLW+6/P44hmOI42Nn+LYzsXPZrGdj5h+qhxHQDHQAANA2ACC1uFpbzyTcqh2KxoLeZ0zPRMcfWLiKkEm64HF85msbN5ThHBcJ2NxPPYrcLBa09TH6x/sor1P2U+Fm+M/Gb+LcRw/N4HwJ4e5j2mMfHmcLDPUahrcOjR/Mv0k/MPxcRz8Rxc95Jc47k7rznhbw7l/B3h/JcEyjm4py4L8zjgQcfMO/wAzE9JoOjQF2S+ei1IladZub9il8yNoVHmyZFD6pS+kiglEanvEV5d4Kqficpis3Cp1XIpS8pC6bCpVDvcXGBZBrCRNu+4Ua0iCK9AaK4AUBqe6AcGz2a8MZrOswOHf454a4s7zOJ8Ja8NxMLHmuZy8kCXRL2SDqAe2sg9Tj3/hbxNwjL5BvijO8GzRxC7MY/FcPGymPjNiDhYjy0MIdQ6qwWgtrVYg2BBHsr8PFcyjcR7Z2BhaiMZ8J+M8LJN4Z9nX2h5bi+Tx8duJigcbOLm8uwEnTg4hMEEaRBDQYNJqRnOE/bSPDWJw7xTwjhPiDMPzLTh8SdhZbM4mDgyB5T8E4R1g3LwNQE0NxbmMllM4YzeUyuYnfFy7Hn5kSkwMnhZP/wCAfmckZ/8A0ecxsD/8HgK6R5DI+AczxTj/AAvC8c/Yr4XxsHM5xuWxjkODOwcdjXkhuZc/CcMPyRQuLgHNmNJIWXwFg5DLeHWu4HhuwOD5jP53H4cxziSMqcw9uBU1P8NrYJqRC+gPzPEsXBdgv8Qcf8l9HMbxXEEjpqMvHs4JMrh4WRymXyeUwMHCyeWw24OBghgLcPDaIa0TsAFy8+701PTlCtgQNkbGo9JXYLcB558rgyP5QWylOVyjqacbDn+V4P0K5dtOOb9vooGi43XVdw/AJ5MwWDo/D/oqjw57gfLdhPrs6D9VBznMFaX6BDyWOEETN6La7IZrDH/w+IZF2DWB8lQRoMYgLOzgR+avQ5ua4Jks0Ix8vhPB6sC4ec+zzgWbbz5Bg/6aR8l64NLrEmFNJmgt7LN8ZV2vmub+yPhWJP3bExsA9jP5rg5r7HsZpJy3EGuJsHsX2g4ZJoJgUSuw4pErN8IvKvz7mvsv41ghxwm4OO3ox8FcTN+EOM5SuNw/Ggfyt1x8l+l34AdBLbGlEjssK0iOhWeNa5vyjj5LEwnFuNgvwy01D2FpH0VJy7KgQQehFV+qcThmBijS/CY9u2tod9Vys34L4Pm583IYDj10QsZ5HKPzM7JNc0U71VTuHioBneq/QOa+yvg2LqOCzHwHHZuKSB7FcXN/Y9hkn7pxDFb2ewOHzTL9iyx8Rfw+ZmfXqqcTIOvtey+s5v7KuLYUnAx8tjtubsP1K4eY8C8by+oOyDnAUnDeCpsi9vnbsm9pq26qdgOmxi1F7HM8GzeWpmclmMKeuGaLE7KgB0xTZTYPMaHTQQUmmlb2XpH5FpNr9Kqh/DQZpzA9bqzUcJw2BHdKZI5d12X8LGoibdCs7uGObOgmAK0V1rquZf5pjT4ZWp/D8TDjdUOyuI0Ch9ArrKskwaGiAcRMV7yiWOYTIPpCrdSep3TVPrPdMH2AgXmFUTMg177hSSZrB2grWs4u8w9fQp/PIiriI23WUH8U23lHVpAqamb2RGxubeARJqbdlaOIO+E+o9FzfMIFiR6pg8nsmnTrM4i5tHH4hsr8PiZBEGFwRiUpSNtwm19CS0+0LW1Mj0eHxQg3gH5RK0M4rpoHAEWheW842FusyoMwZkGQL+iamPZDijdVbGohaG8Q1OEP0nqB+4XimZl4JIJ1TvsFe3iLgapaY9uOJahExIiOiuGe1fiMyYk/ReJw+IuaKbbK9nFDy6nc1d6rU8ma9ozO8tJJmetFc3M9TECtPovG4fFdJE2BoJ/RaMPinwnUTFQ7V1V5GPZYebIFZ5aGsRCtZmopqJrZeRwuJAxXT3O/stLeJBzam4Bia/PZNHrBmYMummytw81JBDnREXsF5hvENIgGCetYWhmc1EQ8kTF6kK6Xp6ZmZJdQkOtM0qtbMxR1elB1XmsPOaxV5aDUiVty+YEFoZNdj+6LUqWvQMzBGkiAReTYLTh4hNbEm4M/muNhYpdGpsSIBC2NxaCSYAqDQ+qpNdJmKZmTXvdXAmsGe/Vc/W4aQXNBDTEmVpa47EE3v2/3RfrU1wA1TpgRJ29E4jVQkbSN/wBlU4ZmAaDurWGQNIcPXoqlWCYIgAA0JqnjW4BztRuNViVVA9NptdO0kXHYbif6IgkGCTUTCHLAgAuAgT/dNGoFxIm0oHlbWXDb5oUwE6b2mJslMigMb1NU5a4fDPY7JG0rOknfpKKBMVZBM2lHDJ0gOMgfF6qRWWmSJHKECCDQgwPclEMSWkkAk02nZQS1sGgBt0QAjS3UJ/KFAW1IADjS23qooAkCQIk7IuJJIab/AAgbKSaxWvxdUhbUSdI9YMoPXuJBMNs4AVn6KDmcCXWJNr+6egtIi4vKUDnIcIJuYmf3K6uO3RJkSZIiJHVKSAQA0SDeICIbvpMSoWwZIai+0c5vNM/6qoTqEXMG3qiSW6YGwoPdDSCJEmOiFFvMOkUr12QIl4s4yJntso+XCTAMV9EYaXE0oKH+yAyCYcZMyR2UkGWxbol6iQOtEdFIJkAioG6HtKfCAG7QDREQJM19UHF0coabzX6INMxIg3JiiIsc6kzFN+qTSHOo6KW6pmzqnSeu0IOBNwDPf90RUMAyOqIFPiPW6WCJAp9VAYFY7BRYYHUYmoq2qJrF53qgf5jM7FCvL326IGDZLiSTFpqPVKADAiQeg2RA01ioNKojEk1mAnoT/q9Z6BSYMkT7qEiKwDCjYO0/RFHUTHZEOIu0GEDIMxPYCUsTeteiByZMWjooXACpr6zKVxgnsYupqqSfSIQNMgkDeaqaqxJQifT5KHaADAkKKYuO1eolAnSJmBukJkwNkARWDXaUVb5sfyweqmqRAteqqnmMGlKJiZnVbugZxEEDpdWNdIBHVUAxNSJ69EWPsNhVBo1lpAr0oj5lLC8qjULSfmjqmiDQHWLpmnZTDxdbZqCDBHoYVGvloZHdMHbmxRWgOtNa1ChdBmoG0lUknf37pS6InrJRGoOEnTc+6bXIGxWZuIaQY9EdZG0zsiqOPcIwvEfA+I8HzOKcvh57B8sYor5bgQ5j+pAc0GOkr8x5Xwv9ovBM/jcFx+EDiuby7ncj8xh4Qx8OeXEwnYj2jEaafASeoFl+o/MA/CZj2QxBhZnA8nNYWFmMuTPlY2G3EZ/6XAhQlfmTjfDftN4VkHZrG8B5nhGDYZnPPYWAm2kajPoAV7/7DPs04n4cxc34u8avfi8ez1Mnh4zS12DhkQcQsPwkijQagSaSF9UyvDeHZDFGNw/hvD8pjC2JgZPDw3D0IEhbC/UZJJJuT1TF1o1daTup5gDr77LNrilzdQ4laXN1uMNBxIBmLIufIJmvrdZde/UdE0yBNyoNBdMG9k4I/DIMfJZ2U3EhWSQDSsdUWNDXif6qwYndY2uMROqVYHmwqiNbXyDAEeqbWYgBZNddrJ2uNzAJ2VGtmJM2KOqdqLO3EgQb9UwfIm9YqFFWzJFFN71VYeCLxCGsWJNFmqsBEwRYSm6CBCqa8ESSCEdQ3N+ii6sO1ZKBAMTfuUgcTEWA6JpHsimHKeUkelFc3MYop5hI6Go+qzh1U0kmhk9VMgtOh1cTL4L9vgj8oVYy+WInyXtn+XFNPnKIdUINMNhotP5qcYE+5YJJjFxGD/UwEfRKeH0/hZjCdOxlv5q8OBHZSZFhHdTiMh4dmARpwxiTby3gz7LO/KYmH8eC9gvJaQIXUpTlhM3Ee34XvbHRynGjh6GzTTHZQ4ZgdPmu87Gc8c+h/XWwFVHCy7/iy7CP9BLVONHE8oG0fNJ5YmdrrsnJ5dxkDGw/+4O/RIeG4f8A5eZiQP8AMwv1ErP/AMVxXYQdBoR0KU5ZsyRJO6654XjEzhvwsXY6Xx+apxchmMMc2DiQN9Mj5hTJ9HHfkMJ3xYYPsubmvC/Dc2f4+VwH+rP6L0JaA4AnSehohpmf03Th402x4fM/ZvwPHk/c2MmvI8hcXM/ZPkHknAx83hTaHhwHaosvp+gCm3W8IHD6X6ws/ji8q+LZv7Jc01xOXzzHnYYmB+oXDzP2ccbwTy4OFijrh4n6FfoMsiKkJXYQImA4d1m+H6anlj8y5jwvxPKz5/DsYGTTTqn5Lm4vDcTDd/GwnMO+ppav1O7KYZHwNv0WXF4PlcX/ADMDDreWAqcfKHKPyx9zY8y2LQqcThjC34ai5P5r9L5rwXwnMknEyWA71bET6Lh5v7LuDYzSMPDxcHVWcPF0kfNMsJY/PWLwnD2F6ggws+JwblJ1OE9F9xzP2Rb5XiOIBJpi4QP1C42Y+y3i+DJwcbLY8VAktJ/RY2/Yr487heKDDX1HUKh2SzAAMagV9QzHgPjmAHA8NxMUCs4bg75Lj5vgecy0/eMlmcI2OrBMFXlE7eDfhYzCdTHAR0VJfYkmBSIheyflGE87QOgNCB6FU4nD2RGm1K1hankPJebqBLSITea01ANdwV6HF4RhPqcNpvYLLi8EafhkehTkZHH8wiagDuboNeAKy0E17+y3P4JiA/w3uE/6brO/hWZbOjS4Tc0WpUwmtosa9zdEPgE91W7K5loIOHO0tMqhxfhmDhuH/aU3Rs1mP5opARGJLnEiOoM/NYBjiAJsa2Cs80fimDWkFXTJW8YrgBJcYrHdM3MUJLiAR0hc9uJ3mklN5rg4kAzMV+hV9s+nUGacDLnUJrVaMPPODIDyQdyZhccYlLie+6sw8W4EV6bIO9hZ8zBdRbcvxMB0lxBIErzQxeXUCOglWYeIYaQQXQNoPyUh09jleINdAa5sTQWldjL53UGy6Yif914TL48xLoFwu/kMweUSQPoukqY9nlsaa70pZdPL4g1EMsNpovM5TEDmwSARykdV2sviCgBttsFtn1XZY+A0AN1CtStbHucDJgihkySuVhPpp0ggGaxdbsB+rQHekx9Vo3t0MJ0wTLQZ/wB/RWth2kuMmawsuESdLoDiRUR07LSw1btT0+qqrGkkcwiRT5q06sSgM+m36qtjp6VMySrWxImD2OwRBEuuSSbT+alC4RUE+sIsmAamCTLtyhEg6xAjeyAwW/iEinxFSeUnVyqULmugk7GKz0hKWl1GiXE+n7KIhEggVBEehUqXcpqYoEXOAdpsCZFbJXGQQWyLgTFUUBFJkmQIsSFIJdTlnfaqMQGl7hAv2SscX1b8iYkbKEF3xmXUA2O3qhMyRI94qprDZEwTt0CkRQ1iQNtuiD2UOqXgREUSuIifh7xEIiNPLAv7oOEho1VHvC6uZqTMwRRKZAIa0abwQjtzGaztUpSDPLOqKDdQyUKUBJcSdhCJLnRNTPqppeBDgCCYr+aAgRDe8TP5qphgTMn4Y+qEGRbp7qFwa2CDeoiiUENbFq16Iacaq0cSR0RY6Q4mjrAwqi7miQTZ1d07dUxPqhDG5nmkXsoCN96BDm5QG03rVQERJPrKCEbuBm10XAkczjWpi6XXTtv39EQWgE0tuhgGC0/3RceUO0gA2UIuKg9vRSJibwLoAWmsaegk7o/DJgQSlmNq/qj+ICtyosmIehguNh1U1VApRSBymXGSl0gPBFZ3RcxZNbNKJM1AMbQlD5sCQRY0Rn2oggMmtOlUCQNwTv1RNbGdkhcfw0FoRTA16joKqBwJpEqugMkGPXdMSSBI2O9URYDUzSLpT2gVlJ+IbJtRNkBJrJJ6z0KXVzOINjFUDcVuLJSRsK/NRqHnmEmDFlA5rqyZ7qvUPw3QDh0MjrdBaX1EXlAkloGotncKsOIiXEepUHwwHWO6C4Ok1JJ32RLq1oqJ9jeigJqEVoa6l6bIseT6lZ9UCkFTXETdEadU26VULqd/RZxiGIuFBcQbWhBpDqCpRLq0KzteRMyD8kQ8CSKyKSg0yCP0Q1kWMnaip1TFTKGulCRCDRrv0OyOoRQ/NZ9UyUS6m1EF2u8KaiffdVB/a6O11UXaxpPzunFuxss4dsmD4iPkVRoa6JbbsnD4us4cC6s9kwcDSCR1CC6dIEzHona+OxVAdvHyRmCEGgYlopKYP5bbrPrk1FPVOHExMeiDS17iOUWTtefxCKbrLrIBmR7p2umqK1B8iBvWimqeveqzF49IqmDpO0KC4OoQBE7RdHWbED2VWv2AUL4sRHqpguBvX6pg6t4nqs4fNzHsiHT+amK0zG4omBJNLWWb4YifZEYgAAn6oNAeD6+iIJrBNzZUB42EojEIkWqour9VTJRB9o7KnX1g9kQ6x39UVeDuJUmP7qnzASBP9kfMB+U2RFwkmqkjf3VOpoFRPWUdVTWEVbbdTVT9FWXwbg9gjq2ogcwRUSoCQZaS3rVV6qACPmoXbzYqZBYXl0TDo6iUHjDd/mYWC8bThx+SXUABPyQ1UsBvEqcYFOWyzr4Gg9WYh/VVPyGXcOR+Mwn+YAhaC6Zm6XVJ262WeIynhlDozGGZ/mBaq3cMzDSYw2YkfyYgK3lw61/NSlS6CesKcarkYmVxcIgPwsRh7tVBjqK0ld0OcCCx72kbg1/dEzsRz3TiEYg6PYHfpKzlR58sn9ICQtuQfVdx2Dl3HmyuF6tlv5Ks5HKus3Hw3dnh35hTscY4c/3SHCaRUza/5Lrv4bhmuHmdO0YmEfzCpxOH4rQC12BidhiQfrClHLOA0mjdoAhVOyjCIcJBvVdJ2TzDZ15fEHdsO/Iqgt0k6wWu/wBVCs9VXEzHh/h+bDm5jJ5fGkV1YTST73XEzP2c8BxySMgxhNeR7m1+a9qW6oiClLIAjrdTjKbXzXNfZTw17Scvj5nBFY5tQb81xMx9kmZbP3bPjEEU8zCiD7L7G5lIp8/0SOwhUxv0UvhF5V8GzX2Z8awASxmBjNB/A6PkuLmfCPF8qdWLw3MECJLWyPkv0ecMV3ISnAmZihTjTX5bzHDcTCOnFy2IwE11MIA+izHKMMwQ4AkRK/U2NkMDFaRi4TXz1AquTmvCfB80Ccxw/LukVOhMpsfmfG4VhuH8RgdSoLVjxeB5dxBGHE30iF+iMx9mnA8eHYWC/CM3w8Uj/dcXNfZLhuLjlc/jdmOaHCfks9xdj4Q/w+3TLcRzTtWQPVZDwbMCSzEadxqbpX2nN/ZbxXDB+742XxXbaiQSuHmvAnH8uD/7uGYA/wDk4wr81eeD5W7I51kh2E10Gpa4D3hA+fhgasDEbHUSF7rG4RnMDlzfDs1gmYdrwiK9J3WJ2XwySDDHgcwdIKTzlMeTw8zz/FWwkQtgxGug9TcBdt2Rw3BvMw0oQA5UHhTNQhgbtQxPda5xliw8TckRsBRdjI4h1AapYNlz/wDDMXDHISY/CYB9Vbki/CxdD5BiOYrU8h7TIYkgUJjfqF3Mq8kS4z3FvReZyDi7Db0G2peiyrhDZ7TC7RmuzhEkVE7Lo4PLuA0WoublyADM0G2y6bJpBtG91tmTtsaDDY+INpJWhjXSC8S6aAGQFnw2xQOgd1e2JPcAiqrS8GA0F0U2/NMHAXqCT3lBty00FphMNQggxJvFUQ8lzGmJjrEz0UA1EXgGZSyNRN4E1hMNJEfCZ/CYiUE/DBgDeJogQ0tPmWmgg1TRykmxBmqWT8Uz7IAYnmAJi0W3QcJ3kXA6jsEYIZDXC9DeUzolv8ptJFQgRpN4AdaklTlmsH2FVNRLuYwdoKhaTcgzQShoP1AkEisGQLyUGy3ckmvVEttF61miBE7SRFj+5UHsHQ2ATAj0n3UIiCC0Vr1lGrnO0ms7FQC1QDv/AEXVzCNTTYCTB6DqhpMSXct0zxI30ndDTIIgtJkof0ABbp5hE7It1EGonsZVZMkAgyBBdCYcwBJ2tKCEl1vzQxGiD337qAiaCpsDSiB01o29EEkvBt/ZMCZ1N6bIUaIoRNEJ9q27qaYabCTJKNSBBtcxZLJINRQCeoUBMA1FKUVQQ6RMagRVQOEzN7QFJ1UmhF0r4/lFKQN0PcNANTLj0miLZADT6+qQwXVmJFUQ7cU/RFPJL4aQaGiUAxUAU/sgSAKiRtCDpDgII9Tshok1od6whMkCsWSmkmlBfqg0mBqj1lRTTEki1pNkdbS2sgAyUjoDoIEUUDgTOkz3RnFmsAEAwe4QL9QpFFX5hjSQKSoXVkI0YkiBIMXU1Eu69OhSFwuaboarTEzKBw8iZrBui14AJAqDuqyehuEC6eb9FBaHGBCXVWQKilkmoSaz7JC6aWbv3RpaXQZiIHdKSbOECYSao39gg4xI673RFuq1QPdKH6iYcCZ2KRx3JB9EmqS7UYRV4MXJNaJXETQmeir1AfLpZBx3FPZRVweJCIeZofbqqA+IMA95ULjJIn0CQadZt/dTWQLibLMHVpPYJtfpCouLjQyEdYn8osqBiCa2JR8ynWERpbiUE6apQ+QZrRU+ZcbI6iekIL9RnuUS/qJp8lSHGLhTX/KQgvGIQLj2Ta5JM19FmDpFb9E3mdKlVGkOqZFRZM3EDpgGFn19SiHUpGnboqNGsz1TNxO0Qeqz+ZECZmqOugiqDS10NO8bBHzSBAuswfS90Q8RJiFBrGLcTAKIeQ2Lk9llGJ8yicWLqjWH3g/REYlCSarMMSBcJhiAbIrSHgjmqDeU2oHZZW4lSdwE3mfl1QadcQbKeYJA71WfzO4UGLWqiNWszUTB3R8yZWXzIH0U803F1KrV5lCTUfkiMTevzWUPETvKmuN5jqEVrGLWvysn80CQsgxKonEPYQN+qg1jFixrHRFuIG3iCsXmAesWCPm02UGzzBIIIop537lY/MImtFBizAog2jEn1v7o+bS9T1qsPmRvKPmkiSg3HFkbfJQYnR1FhOKb9f3KIxgD17I02nEpWlUfN6V6QsPnEi49UTjTEn2QbPNgSTVQ4pFySOyxef7gdkrcabX9UStzcSSCTN4TebDQXX6lYPOMGCdSPnQaGu6Dd5om/oj5oBMOFT7LAcal/WEDmQBSCit/nRuL7oDFIcATPVYBjgaaotxwdyRCyN5xIgX9EPNkkXAosHndTRTzpuJQbvO9IlQYlYNan3WHzpgkxOwUGLMkigCmDc3EDaghR2ZxWthz3EUkEyAPdYfNr6d0PPoQVnIa0ubhPEPwsIk/i0AH6KvyMrUeU9psYxDf3VAxjAIsUfOFm0pUwscIasdk8uajExsOlCWhwVbshPwY+H15pCnndxPoh5tx06pxwVuyWPA0sa+Rs8FUuwXtP8TDc0UiWrS3E5id4uQj55bZ7h05imWDCQKiRCVzKRIjsugcy4tjEIe0n8TQUrsXCIIdl8J00pLSs9jnFjRP7CHl3oR1pC2luAQaYjJsA6YU8nCc+mYLTsXYf9FNwc92FqBEDtCR2HPzrT5rpDKA/BjYL+xfB+qrOTx5Ibhl4tykO/JOhy35ZrxzN+YlYMzwXJZwacfK4WJI/EwH2Xae3TRw0md2kH5JSJ6eyvGUeLzP2fcFxyXfcsPD74TYquRmfstyOIf+XxsbBn/XP5r6T5bTYGnVIcME26Lnf44u18bzn2W55rdWSzzcSBQYjIM7VC89xDwvxPho/wDeGTdiYba+ZhHXHU9V+gX4fUWoCqcTAbiUc2T6VWMvjel1+f8AI4QMBjg9rTFNuy9Hk2iA4nUZ2Nl6/j3grBzv/MZGMtm9nARqHcLyuUbiNxHZfMsOFmsI87JoB19F6f4/K3qsWfXTywpXexikroYVSA6STeBssmXwnNENaHMiDTtsujgtHK57QBMdaf7rvBfhnlBaTWL9FoYN4LgTJJF1XgiACJoDT6LThN5odTrTdUMJiZE70TiQAWwPogCAY3GxCcddAMhGUnUWyBuQZuUYB7mgEBRvxN071oIgJat3qCfZBKgkktINKV+imrmsHGaO3RNTI5TuQgasuY6d0VDRknm2BN5QMtBlxn0RkF0mHAmpm/oErADEgPAmO9UBiIADpEmoqe31QIbMTJPxQPp+ShB0guDSy5F991BIcG6oH4iKTP5IJqJbJFImKjZLqFKisGLi6OgkkuBB97IQG7SKXH7/AGVB7GSamADAJKBAEtfUjbdQwYg3MEhQnUR3Emv1XVy0JgUtsJQ5yACTFYkIj4Sb7SKQgdNYJn1kodlcZkwSaRFENWp0B0TaRMJngzS3r+qrL4NQKmRW5VS34sBFwTOxugCIkOt3S06V2KjSABJGrr37KKamqQTMCK0hQPgUNLIHlgGYmtUNQBFSZ2Q7+I6x1QQBsg3U02sd0oIkz1NErTIEAgg8wsgukdQKmYNEC4mRpEG1LKsmBDTARETeCOyLJDNOkibbnqganU0ke9krnNNiQYsDMqF0GJP9QgJxNRLXgxF9kS6hu4C5NUhfqIBm89d0sgVjSOllBbqE2PWn6odOl42VRcCZII91PMGoiJk1qhDggEyYJ7/RAuqYv6qsvlzgbA0g2U1moLYFrzRAznHpI6xKmrZ3zSahYRO/ZCacpEIatLqVghLqO40k3VWo7n0mihdpqZKirgYgAAGUuokncKnzRcxAkhMXV6wFVlWa2tEvJk9UuuBVVhxIPcbqeYIkGa/VQWa6CK73uUpJj44VXmQJPoKXS+ZaoRVxJImYrslGJzOi00qqw+RFZ6JQ6SRPN2EILXOJq1AvNy4KouEmSq3up2FRGyDQMT4a3FEdZie9FmdiSRaIFUvnTIFt+oQbA8mwndTVX+yyjFB0hveYKJxIMz80Vqaade26JfG+2yzeaHTB3/dERiiljvCDWHismR6qB+0TVZsPE1aZv0lPqiDQ1tKIv8wyDNBaFDie4nZUawKE1FVHYlovKC7VzXom1S4yTO0VWfzAbmFBiDzCA4iklBrGJJJsbJi/esdFm1mapg+lbKo0h9KU9UNe8x1VAcBtFt0uoSK2RWsYlEdYvAoFlDrzPpdHVDaU9EGtrtRMEH3UDjA5qjusweZkgO+inmgNmIPqqjXrndP5lPRYziADcbqa4N6oNodW90S+tDbdYm4wLoDpIuAmGLWAUVsGKSPQX7o+adoWMYkzQFHzbTXdQafMoj5gNlkOLuHewU83v9EVt8wW2G5KIxOu6xDFieihxomT8lBv8z8uqnm7E1WEYxaL/MoHG773QbvMOxqVPNJjYhYfNGxmNgh5sgzJCg3nGvzAQldidTJ7LCMYSYIMxKBxpmUHROMdigMUDeZXPGMBSWoHHsSQAaqDo+bc/sqedBFb2XP87v6EoDGpcQg6XnHYb9VPPtai53n25jMKHG3FAix0DikEmUvnkzFTHVc92PAqbofeJkmPRB0fO6zMphjwLmy5hx4BrEiLqeeIPTdCOiceK1/oh51ZNPoub51L2tVD7ySOqium7H5SDdH7xExMDZcz7xQbbpTmLjfsg6hzJFJMoNxz1kgXK5f3kmoIp1SjNTB1SI2UHV+8AXoY6IjMAkxQdFyjma9T+an3kCSSfkoOr53cml1PvAgyb7rlHM+xj2UObEUuQoOmceSeaKwocYdaxSq5n3kVmveUv3oQK+soOr55A5iSCh5+5IG0LlDMCs1Q+8wQdRaRWqg6pzEEVEBQZgyS3cWXIOaFpEXMoHNcwvESfQIOyMcC1a2Q86tT7yuQM0JkmK3ROZAmSRB67KdDq+eACKQaVP1Q86og+y5Tc0DEmJHW6DM3T4jU7qDsjMATMSTIKduNNdwbgXXEGaEHmr2KYZqCQHAUrWFnodk5vEpGIQelx9VkzHE34bfhw3jo/DH6LA7NxUuI6VWDNZkEnmJjdY6Hp+H4+BxPKueMNmHisJD2Anl7gybrSOH4WYcG4OLDr6LwvGeG+IkcVxsLVy4mFWtJBXexs0S3Ce0kO1UIdZcZ53VxtxuF5jCMsaMVoFYofksGsOkSaUImxXc4ZxZubw3DHjVhmruo6x63U4vw7zcN2PhN/jsEmD8bf6rpL9R53FaCKCBBqaryfiPhhxGNzuWZOYwTqcB+NlNTfp81641vQO6m6yZvCEEkwY3U8rZ3B4/Khr2amQcNwDg6PiBEhb8LDg0FSN1Tg4XkY+YwbjCxKC/K6o/P6LoMwy11TOxXt8bs1PQMbYmKVrZaGtEtrDhcTZRoMd606qxjdRgGhiTK0gNGgAn3RoSDYgCxQJOHJDDFr2UJFqg2ghAXUA1QWxBI3UoaYht0Nkg0tAranoi8gioBikAVQM2BAgybybeyQEaa0kRTr0RM3fcmk1sgGzUmp/Ft6IAOgOm6mlrZ0CKWFJ7woCYLg4ClP3sgSNUDpeaBBC4OGp2iBWRZSYMuPypPRSQWDoK9KI1bB0l2kyO8IFLjW5JM1UGoDWGmR0690S+0kggbUhJykTDTtB3CnoezEiAYOmoS0AiQfSxRI0zAt1qUCQHU1dV1jlf7QE/DNCErvxAydNtoREbgmlYN+6WQBW0V39ENEmlLHc2ISOMwa22KZw5jeO6A0vqRHaboeyyYuREg90KH4aR1UpInrAiyBbB1U+aumDFA0ieg6KTytMQ6dkC4AV+EVNUjDDRAbUdJkLNawS6s1MnqloHEA9zSigdQgTISh1pJvaJ901D6jcGa/JCSQA0QSPf5pZc6dIEkVlK97ZkbBAWuIM6hXqgXkVFKQa2VesmggG9agoSANhFJQ/xdqiwBighBz7ajMxayp1xOhovUm6Dn0E+w6oLHumS6XFTzIIAk12KqdiQIrJok1ai0ao3tuovS8vImPclAPmSLW6LKcQEHS6Cd56oHErWROxrCqNWrqLyJSagInT/TqVm8yDS42Q8yKTPeUVpc6YtTZDzHANM9un0WZ2ICRM+s3CGuhE0HsiNHmAgA13lEYwgGl6jZZDigNgGl6pDjAmC4WhSrOmw4mnSC6fR2yAxDQk369FjOIQ6HCbimyAxJj5UKNY0lxLTpME2JrVKccgt1xJvJp81QXtuYBjqqi7Wwh5BaZBjog2B0SHCSDsgMSZHpQ7LIHhrdIMMqIiqAxYc6XbXRI1jEJ7fogcUCNp6LJ5tqwCh5lq13lGmjXHQEd7JfN5qGFmOJE9OiTVWlehUGzzRpkmTOwRGMNNKi0rD5kCtNyVPOgADrRDHQGN0EVgojEAo6fYLnDHgmtZ6Jm5gEgAj3QdNuKATWndP5gN4Poue3Gk7HsE/m6iJNFTG4YgNREqebUVm91hOLQdu6PmzFfcIjacYmokmtJiU2sk1IE97rCMQCNymY8zHQSqN4xYNalMMUSKz3hYfMifmiH+lO6I2ebI6+nVEYlT1WTzKE/RDWRO1J90VtGKQIcYJTDELTQx+aw+bJEUH5I+aRSo9TKo2jFdE3HWVPOiBI+SxDGigMHf0QOOAOnQjqiN5xTsfqocQmgMeiwHHI3M3uh59K1H1UV0PNDRUiB1U80TG9FzvPrOr0qh94oLAyoOn5lRzR6KHHBF6+q5ZzAsTNT7JTmJj8QFZKK6pxw2vTup556z7rlefyknfpRT7zN3UlB1DmNPb3UOP3qVyjmbofefkg63ngxSsWQOYbahPouUczG8EKHNA7+3VNHTOOKxBBvATefESaRSq5P3qBUx7oHMxMmqyOqcwdzHul+8R8LpC5JzVBt7oHNRYx3hFx2PvMg9fml+8i91xjnBPUKfe5sb0Qx2fvA71+iH3ilDTuuN97ixM9UhzgBgGRHRDHcObpFjvKhzQH6QuH9+FpNErs7Ak7fQKauO27MbkjoEpzcCh91xXZ3cneqrOcqRPsmmO87NUMH6pfvdzMR3XCdnJAH6oHPFsmwAr0U5Qx3zmYpeqT730NFwTngR8Q9il+/AGJKnKLjv8A3qTWJ/JA5qwkk9915/8AxBp/HVD7/P4tqwpyhjvOzZM1JisIffGgkhxEiF552etJqaGSgeIAEVEzubLPJceg++w2rplT73JHNa3ovOniIH4hHqo/iERWCRuZ+inIx6I5wCDqqlOd6kT2XnPv99VritUjuJDYgxW9k5Jj0336fhIUOcmZdWF5kcQEEiBPRL9/tUVvJlTkY9NiZ2h1fspfv1YDgR2XmDxAX690p4jqMAxvMqczHqDnhMgzIrJSHOw6hBpErzP+JAGS75GISjiRAJ1TJ6qc1x6hueBnm9URndG8fmV5X/EZqSSAKkm9VP8AEYJIfJHUrPMx6k56NxZQZ4Q3mEfJeU/xShBMCljHqiOJTtJitZWfyGPVDiHMIdX9FDxAEXkdtl5Q8SAE36FH/EiCQeYbkVWb/IuPTuz8jlM+hpK52a4i3QdLjIFey4mLxMhpJdYUhcTP8QxMXW57tDNIgA9P1XK/yNZI9f4YzvmcYzOY5tGDgta0nq5xMfIfVemxeI6cMaHVBgdTJXi+D4P+E8O8t+oZjHxDiYh3BIsa7CB810HY/msa1jiRLZ37rhz7Xjr2XBM8cDOZY6pZrh0mhaaH8173LYhflHNdV+XeWkETQf2Xybh2M7FzWCwmXOeCV9JwMyWffIPLiGonder+Ly1z8pjkY7BhZrGwxyhjyANoNR+ay4zQ4HVBN4/utmbe7EzWI81JAv6QszxyxJgdartnTLzuLhE5/F5b4bSTvQkK7DwnbEx1umDCc7iuHMdIne5J/p8lbpDaxABmomT+yu/8X/VLShvWBWeieHUJp0g/VHSARSBJiVIA7D0surJC4kHVAjuboEEmZ7RBUNnGA2sTNkSTNY2kEwihTSC6IFp/dUB8LRaLibf1UJBoAZ6zKUu1Dkqd6zCIVx0kzWTaaIiXXGi4iYkf1UiH0qQRtXrRKWtdUknZFNOk1uJoEJDmaWgktNATRCBUDlHQlEgkAkio2KCFxLegjpNVByGRN6bJYkFoLYk7SIBTNABaBpAcPWOiAGNUgOBIqTuoTcmu8ECyNqi1y64PZKRLdQEj522UHsQTNRYVpEoPc60zUQW3TDcyaGkFC5JadQFtyujlpXOAaHNYTJv39FC90WMncFEAn4CRFSB+6KRIkuqTIpMq4u4rc4tIbBIFj0Ucaj/UINaeqJiRpnmEmN0rrASBVIlK7pLRJSNilDetd0zjAgkgTQ3VZqC4GSTBRYYkUsaGN1S0hgIYQKyBKDsUtbU7Ha6OsugEkmJFIQ9mJoN5NZKQk/i5fX8pSlwMajGxn+ip1yAJDj6UUX0tOJ8V4Fgk82XWtZUvxdyfRUvxiNyRuqz7ai/l5dRHUlVnFDCCDG1JWV2NH4tQpvdVuxwGgEAyBMiyitr8Yi5gxeVW7GJqQ20UWXzYgB3Yk2VT8YOMkGW9D9VGmx2OSDoMRatkpx4+Gp9Y2WA48mXOaRtHZV+c1oIaQBJkReepVR0nYpsZtStkjsa57dVgObJcOdgaGmQKkEH8oUGPIBaZoUXGw40gTWO6UYhEnqeuyyOxoIM7CiBxQaCkGRFFGsbfPMkkgmkqHEBpIkCnVYDmWkglw7k1SfeAYgQ6OkUlEx0PNpUg1oRZVuxSR629Vg+8kST6XiFPPO9j3UI2HEBqfyQGKQJDqzaVjOMSQRQ7SZSDGEOE3pJCNN5xCRBIrcmyrbiuDYIDiPh2kQsH3iDAIIrSyBzW4NbXsoOg7HFTzW2Kqdi1M7x6LJ5x0w2YIjvMqHEuPibQoNRx9IknSLDYhTz4G1T1WE4pnlNpvVKcUk13CEroebMtrUXBU8/lMV91z24odBFCR1umbjBwA1UIr/uitbnkiTcmtVWcc2VBxBzTBvBsq3YkEbxv0p1RGnzpE09d0/nDV16iFzfNINDU1mYTNzMmWmYF0HXZjkSaTGyt8yfbYGy5eHjSfiBgK1uLECUHQ11CnmARqnSsPmNP+oIjGne5v+qqt+HiaqzcdU7Xcxk0s2JWBuM1xqZMq1uNavqVUbg81kCgR8ypkj1WMYty02CHnjqK9ERs8wRSVPNO9b2WF2OKQaEyFW7MANq6yDpeeZINt6pfOiNukLlnNEVn0okOcFRPTtRNV1nY95r6JTmRt0quM/PBsyVnxOItEDURF6KaZHe+9aPzhIc0BIEk7dV5x/EwJIJO6ofxQCYJr7pqvTHOb7RMQg7OzMOEryv+KRQPA9EP8XbeQR0myzo9Uc6G11VlKM8BvX815U8UABIcZSHimznfqpo9Yc/G4H1Sffom839V5N3FmgyX27pXcYE/5l7Smj1n38ChJPUof4gDC8eeLgXdtMpTxdps+d4n805RcewPEGgxMiLpW8QHr6Lx7uKwbkkjqkPFmyYcagLN8ouPYHiMkHVyjpug7iJih9gV49/FZNNx1SO4qYNr+inJHsTnzSoMdAkfxFoBE2K8eeJkkGsASqzxN1dKnNcez/xMdTeQg7iY2MmOvzXjTxLEMb122UGffNwYU5rI9f8A4lWbkGlZhI/if+qQI3uV5E519S003qoM3iE1cRKzzMesPExWajZK7is11SD3XlPvOJA5x2R894PxEpzXHpjxOrqg9ISu4nIoakdbrzRxnEatX1slOJashTmY9GOKCfSgQPEgCCXDoDuvOa3QOYBEvPLNYF1m+ZjvniszLqdkv+JyBU/NcJzrxQhQuMN5lm+VV2zxPlcKx0slPEiGgEjpUyuRqOm5nqoMSbWCzztJHVPEzJ+ITWpSjiUjf2XJLzsZ902uHagR1tdTlTMdH/EXRv2RHEHkEwCO65pfSZE+iIxYBE0vdTlTNbhn36YN+qn3t5EfNc9rwAQXTNZRGLAIcd4Fd05JjeM69wBktsQFPvLyGxSbeqwebQVn6I+aKmaXWb5LO2wY7hvAHsocVxt2sVifm8JrSXYjCAd3CpVZ4jhNFMRl9nAppY6BxiZE6v69ExeZq6tCCdiuf9+w4gS41+Fh/RWDGxnAxlsw6g/8pyzpjYHkkX7Ge6DcY1madLQqG4eceKZLMEm8tAj5mysGWzzhq+6vaDbViNE/VZ5Q9rw6JiQD3RGIJAFYEGClbw7PvgnCwQR1xhEq0cMzpE4j8BgmxJd+llnkuFDnaoABDupsocUk0mCKRRWDhOacADmMEVHw4bqfMp28Ic4zjZvGdtDMID6k0+qxfOGOfjY4BJZciO/sFvyPD3YThmc6w6zXCwSJM9T/AEW3AybMsf8Al8vGJEa8V0u7rU3LuLiXuqb1krnbvprMUs14jw5xcXzUbAdFtw2OaNDJkQR3I2+SrYA3lhvtWv7K0YbHYuMxrQakAQDXsphrueGsI4+eaXggMsT9fkvZPzBZqBMHouHkcNnB8i0PMZh7Ry7gdey0Zdz8d+pwobn817/4vHj4uPldrdLnSSDJMzPZVYpjDvWJhWVhwA/ssmZxHX3mAe5XpvrGGXDYf42IRq1OMdaUH6p3yHE0i4isogaQGtBIaBZAywkQBSwXo8ZkxNK4kmsNHUqtznB0STJ7KyumsGYMpHzq5zEAzSAtJqEyKEGBX+qVzhpoTES2QoTMRUTEobGOZ2mTPVABJoQR2m6hFRAOmFCaSDtWdkDLeZpEel0UPgBBESY5jVTe7fr7qXMSXSLihUippMVHWe6BbjciljZQSKwAZk+qYkC46mqBaSZJiZiDsgGrTV7p9R1pCgDmjS0TpMAzMhFzXCTOo0pNykLQ5wAJEGwkwVAWltSJNTt07IGQOYC82k+6Lnu3Gj0JSamuuTIvYKK9qRu4kE0G0ou6CRtE2E1qidcQ0VIoAeyJDgJ0zApX5rtHG9EIiIHuEsEgiQTMmLf3VmmWtBmd57IBocIJPugqIJpM9aJHS0E9O6uA1WJi5SG2l0zHVUigtcDQG6odQEFpBpvZanDlgyQDvdZHt5aUrMQVFlVOe2CKuMWS6+asEg3UxBLXAanV+cLOXlldV+1AgYPMAANgdamPVVvxmgHUYvvdU4mKGtIJraDdVOxSZAoIm9QNwhi1+MJkyO8ys2LixpAMn5Kp+MC0aJA3O4WbGxw0APJEmkV/YUVoxMwa80npKzuzM0ALnfKDssGNmyeZx0/WFixM81kaCDuAIMhZbx2TmeYanESJIJSuzdCCNIMBefxOItLSJBsRFQl+/wAuMwHA1aLdOlUZtjuPzEg71qQAkOYhtHAAWBNlzcPHJBcBM11ClFYcUkDSYB3IoCixrOZa3UCYiahBuaFSdwJgkrm4mNp1DUCDFLqoZkhxEnVIu5NSW/XaGP0cJtHdHzCQ5zjIuIM2XF+8kubqAIBuTb0WgZoEGAXAGD0I7KNV0DjHlEE/KqpfjgTzV3ilVl86DXTZUY2OHOHMI6BBqbmI+I3gFOMc/DqM0C5Rxw14IpO/dBuZrLnHT0QdtuNyjUdPYoHEMwTUmovK52HmaDtS+yd+O0CAYJrKDRiYpAaRAE2G3qqRjAEVEkLJi44AaDYE1ssr8etDM9/yQdf7zqcATO/urWYtaUpQT3/uuF96MiKTT0WjCzILhJoaFB1HukGIBG8VVTsQQCKAWhZhjgCsAfvZUvzIDSdXuEI0jHAcdVCa+qduZAPQbLkPzXtWLXSjN8wAcIApuorvNxyRAIAJpO3dK7E1tIcfquYzNgAS7rZWfeGgHmA6wqNT8WLnalbKkY/MBqkgdVmxMYfhNB9VmxMfcmI+RRHWw8wJDdUTVaW5mbUC86M3pIEmDutWHmxIGqoF0V2jjkRUkbVQGMRNjXrVcv7wNJnpcKfeS1x6on1124xA+dlobmpMAwZ6yuA3Mmd/Yq1ubmK06Siu4McfzFpmm6H3noSANpuuS3NBoHMJixqg/NQRzR0hVHSdmIHpY9FnxM1G4vK5780agEmPmsj8yD+KQEHRxM5EwffpVZsTiBkzfuVycbOuj4wFixs0b6rXUV1cfigaSAZPc7LnYvHINCeq4WbzxLoYZjYLCccuEzCxfJrHddxtxiqrPFHu1aT7k1K42uayahWNeSLkrF8qsjqDiL3mZuEBn8UzzWosAdSN5hNIi4os8lyN33rEIiTfc7oHHeYOod6rJqoLxP0U1wO11m+S40jFd+F3zR8w9arN5gG4RGICKRMLPJZGgucPxEyiCfQ7lZvN/siMwGiXP+qatjTzAUcb2RmTJJA9Vk+9NFQfrdEZiQS2XegU5GNmuxsPVDVWsWWcPxHHkwcZ02Awz/RWDLZ02yWYPScMj81nlCxbqoaiQg2GgkO3qoMhxFxP/KOb/wBT2gfmmHCOIPJnCw21rqxh+icomACQZne8ppgXk3FVYzgnEHCr8Bnq8n9FaOAZkxObwmz0w3FTlGsZtVSZgInFa0SDVbG+G8R1X51w/wCnCn8yrW+GWH48zjEitA0KXyMc1uK3qQbzsicUSCXCvddceG8t+LFzL6b4gH5BWjw3kQROFiOpTVjur9VOR1HA88ATMeoSOzTWky8CvVelHAMgwAnKYZ/6iXfqr28HyQmMpl9N64YP5rPKo8kc9hC+I2f+qEn3/BFsQOPaq9w3I4LY04OCPTCb/RWtYWDkdpG4Bj8k5Vrp4ZmO5x/h4WM+55cJx/RWNbnHjlyWbIv/AJDh+a9u1hrDifcqHClsut6XU5VHixleJn4cjjn10t/Mqz/C+LYkluVayk8+O0H6SvZDDETvG+yPltaNpitVNqvHjgvFHOn/AJZjdicYn8grR4e4gTzY+VZ6Bzl6vSABUnt2ULRMxCzyqPMM8OZmBrz+H05MuSfq5Ws8MubAxeIYp3huAwfqV6MD5o/CAY7jom01wR4Yy7jGJmc26dg9gj6KxvhrJAyXZlwtzZg1+ULtgx8XXbZKTFZFul1NprlN8O8PAGrLFw/1Yr3fqrRwPh7ajI5eYuWSfqugCRYBrusppOmACY69FPYyjh2VwgAMrgNFhGA316K5uA1o/htY2Is0CieSCSRWLpXOimoDVFyp7DQYIk9KEqaby4xe6BNNp6iqfyXuFGOI7NJ/JSQKGtAM0E1TcsmmlHyMcwfKeZ6NNvknbksy4j+C8g9YE/MqZTVZLSJdTe6DnNGwg7xRa2cLzrgA3BcZ6vFJ9Fc3gHEsWjMuQD2PyoE439Jsc8PafnF7BHXIpFbbLqM8K8Re7/KIE/yn+yu/8I8QdWQJuKE190/Hf0vKOKXhtSWg99lNbQJxIYIoXCJC7zPBmbP+ZjtIkfiDfnAKA8AYT3/xnYTmj8Tnku+gun4/O/E2OCzGY8iCwCRV36Lr5LiWXyIByrhiZtwkvdUM7tH9V0cHwFksL4ThDc6cJxjrcrr5XgOSyek4eHrOxcAB8hRdfD+Oy7WbZmObkMlmM6/zceQyZc55uvQsa3DbpbyNEnuiZE6RagEUCUyb+tV6fTneyvcOUSBvX81maTiOOISKfBT6qzEh4cKaDeTV39lXBqQKCOVdf45fK7UpXOAN/ZAgtcawLRChIkgmC4abIFsTJM2IOxXqZK+stDgJbZISRQkB1wTZOTWQTF53S1mLACoAFPdDAaamCCaxSEJLXGC2G/RCSHw6SNJA23+qOoipFDMGLoFqQNRmeyjXT8RrEzYpRQcrCABSCpQu6lFCdJFQIIgVUFQS4VB62UnqdqSoTBAJ2mSN0BdzUMSaxKIJNwak3P59ElDaLVml1NZGkMkHctNu56oCYiT0MEboOl1BB3lxqOiAcA7U47kVULYkEOJO+0qKDmw0kyQ6xEyUTLQXNEWFq+6BcAY3BBlASJ02NTUIPcad6mOpkKOFHCdQEeyZzQCfL5x1hA1ggb23XVxLAxCNcu36FDQQNJEQU5aTJJAJ7oO1RAILd6WKUismwNAOkhSIEElsC0VTtBby6PhrNz39VAIBpQzMD3RGdzKitJsSs+I0zQwTSq2OwgA4VJ/DAoqsXBNQIJ7ixVwlczFuIc3cVrCx4nKDMUr6Lq4uEWyHgOLrkVlc/FBaxxeIg77dkN7c3FdHSJpKyYmLo6kav3JW7HDnatIABpVczMw2TIrQncLNrpFBzBkbCxpJmPosOJjljYBBIJq291M1jBmpzaC8jqFwM9nNBLgKk3PTdZTe23NZ12nkdIIiCuTms7DnNm9ei5uY4jyzXcRMe8LmY3EA4wHNgiL0lZ1vXUfnahoJkbkTRW4Gefyva4uAOxr8v3ZebGdo3WwVFQHWP6q9udgGLWiE/wAR7PBzYeBqeKGZ7jeFpZmQ0atXuKVXlmcRJbqcSCdwIlaW5wABzWvaGiTvK0zuO1j48SAdR+KD/Vc/EzLSHF1IG5uVgzXE/KEh0g0Mmy5eLxOTQxSA71us3pp3XZ+XHQ4a2/hcaStWHn//AJjxU0HSi8dicRc4zSB8Pqr8txGWUANUivXszktgmSNxdTEzExJIrQj9V5zD4i0WN7AKP4hLCC8CRYbKo62JmyYIcINeyp+9y+INAYXn8TiMuEOcIuBv6qh3EQ67iJN5WdX29azPHSIIkWqn+/tlsmCaVC8hhcRJmXFswabrT9+JbyvDm9CYVhY9O/Ng/DVxE3WJ+Z1GLkiglcV3EDXTUdZssjuIhrnTufWEV3zmhMgmKi9Fdg50BwkiJitNl5UcRi9zZTD4o2eV1dpUMexHEGjYXtNylOcHNpNbXXlv8RkQTBO4Cjc/AOo6m7k9FR33ZySdU6rqo5sNDTzUpAK8+/iNTEFqU8QvzQLqaPS4ecvNorC0NzxYGia1tv2XkRxAClSTXorTniRANe6RXp356SdLoJFgVkfmwbG9O64Bz2k8xMzWsT2VbuIAmplXR325uJj5LRh50wySC31svKDPGpLoj6KxufpBKmmPWff26YoJop/iFNJqetpXlXZ8ChdWbTZK7iYI5jJ6xCaPVDiGqzrAgdU7eImRWvelF4z/ABCKale3iRFZ9FdHt2Z8Ecr9UoOz1CSaHZeTwuLUMmkdLJ38TBF673Kus2O+/PGxuehiVix+Iiskg9FwsXihDXNMSLCyzDGOIT0uQosdp+dFST7rmZrihxpDDDYusmdxvKwfMxTDXGGAVLj+91yRhnG1l38Q0MGw7LNajp/ecMEy5oPQuCDs/lxQ4+HF/ilcZ2ScXQ4DDbMTFgunwnhPDcbjGS4fmHHFxcfCxMWTyjljkHQmfopmJqf4xk2uA+8Nc6/KC6nsF0+Hn75qGVGvTV1C2Jtdeyy3CMtk26MrlsLC7sbVavJsHxtAlcvKytR5VvDMyRRrI3qrP8IxyNWpoHoV6kZcQaSm8nTBXG61rzWHwTGIrjQd9LP7q1vh8fixcVxPoF6QYJGwMJ2s3j5qZq68+zgWDQnW6n86tbwHLECcIujYvK7owo2mUzcGDVMprjM4NlG/DlmH1n+quZwvLi2Wwv8A0BdUYZNZE+ibRtUUp6LNi6wNyjGiG4badGgK1uHHwyDtFFrGHFSLdlDgHcDtJUGbRFBMeqYYI91q+7PcYDSXbCLq5nDsw80wMT2YUw2sHlN9u6ZrO0+66TeEZs0GXxB6shEcJx3GrQD3e0T9UxXO0i4oTCbQO4IvRdXD4HmXHSxrXDs6fymVrwvCvEcWrMB7q2bh4jvyaoOBpggkR3hEN07FeqZ4H4s8iMpmIJiTl3/mYWtv2ecTdJ8h7I3Jwx+b1cv6TqPGabQD7iEwaQ4UXuGfZ5m3CXYmGw9Tit/ISrmfZ3i8rnZnLCtvOcfyYnHy/SbHgRNaGeijQTN/kvouF9n+EAfOx8MVoA7Ed/RaW+B8k34sc7UGFMfNycPL9Gx8y0OiatF+ihaSLCv5r6ph+C+GMMua53/02j+q04fhjhzAIwsSBeHhv5BX8flTY+Rhh3EHZWNwMRzoDHOpsCV9d/wLItH+S7//ACOVjeE5NoLfu2GR0dLv1T8fknKPkQyOYNsHEIueQphw3HJgYBBIFCQPzK+vN4dlMN04eUwAdv4YhWtwmM+DDYJ6MA/RX8VOUfIRwnMlvwEjaSP0V7fD+dxKNwHTajXH9F9ZdraaE+1EJd/MdPSSr+H+zm+X4XhPiDyCMu8U3w3LRh+Cc84kPYADYEAfqvo2km4CgbNBFUn8M/acngmeCMweZz2NjYuEx0VrPAhgasdhG4M/oF7csgRAHsppMfuiv4ocq8izwPgihxxEVgOP6hWHwTlSBGO4G8jDn8yvVaCRIQg17bJ+PxTlXnWeEuH4QaCxzz/0gf7K9nh3IYZH8EmdiRX6LtaXE2PooMIu/CYJkwrPDxnqJtctnB8iydOXaenMafVW/wCG5Vv/AOlw/UhbxgOMjSe6Iyz4+GFvjDWD7rgNHLgYQrYsCcMDZhjW9g0LWcu4RNOyBy5AgkDop0jM4l0gmnrFErpdEk1FKytZwCIl0W2lDyQCRNxFlehjLDSxHdTRBGoWM2Ww4WGaajPTTulOGKXJPRBk0SNOk/OJU0GZg/NXOLQDQmtKpdWo/BTYTEFMv6FTmgxNNzWqBbfaDKjnudqcGsBn4lXiYj3OkkAdAKfNOPl+k1MR2iZa4gXAKzYjy8nVRs0bNlYSQA5pk9Sfqq8QOAGmsWJK3P4/2aUGCJ+KY7pCKzNymcIDgz1HZJETMVoYXfMY9kcRpI37WQ0xzfCdhNUzSQaAj80kxRoiXXKoDxBq0O9evVAwJ1TY1i3ZRsOALaG8KaRLhpo2vb+yBPgMAkE2JFwlIIMBrSYH4oTxodUzJtN0oBLSRJmJ2RVbmzBiDYgHdF0B0CTJEzv6IkGZBLpFZGyUyQawZvaEUXCHdJsB1Q0lo+GAHTArJRO8i0GyWDpuQSZjt6ICSKfEXClkp5gNTbA0jZEzBJdI9UA41itf38lFgQDJiSKnrCOst1VIAFTF/ZQuoHGgoai/ZAnUeaSKRFIKAzpa7TNTsLhQuMQJMnr9UskRDTYlxB+iWCSIiJraFB9AozE0ANI6xuhpLidYJmpJEFOdOJhjS0ODgIk2olLJuBQCR3XZ55NKA6HHTIAkG8ofD/pI2hWhrmBxk/8ATKV3MCX7wBRVPZKghoaA5MC9xoD+qcN0l2k834iUfLD3CTe5BoAqdxSWz11bBo/VK5rdwYKvJJdGGyAN0oDYHmBx7D+iL2wvy5ILmskjvE9wsOLgjlLhqc2odE6ev5rtOY52oCxMCqqdgF1xYRPT0UHmcxh4gkghpdSBT9Vx8zhucx5AgnoLDqvWY+UJDtJpNSRQ+64+byDiwDXXVMyo3LjxXEjoqXtECIdf39l4niePEuGkSaGf1X0TjGSeGOIkxQy69OnsvnHHMDEw3YhDdIAkmf0XOtfe3lczniDp1EAbyZK52JnyTWbw0SrOIF7HOJFPquU7GpPSm6xdbjd99M0dX1Vg4iS9oDxbouSTFSTU9LIvxCRJBvJgSSkHosHi4ADaNMTqaKou400CtawIdRec1lrpB1D8wg3EbFSBEi9k2ljt5nir3wdZgVAI3hZH51xadIEdZhYnPIw3DTBBsqw52ud4m0hT2uN33s1mQRfaFaziDsIAkuiawdlzASTUNJEogmK12sqOzhcUIADhfp0VeJxJ76DEN9yuYcSJAFAUJ6xF4rVOSNjs0XAVk7oOzBvIreixlwpBl3rKYuN+0mApqxpZmHCYEgUBCtbnnCAZMW0lY2O0xue9fqprpqkekINb864x0MwNlSMw6ZD4ArSqq1ktPVCCK6RSN1KLRimg1G6nnOIkUt7qmgF4rQwgByGKAqmNYzTmiGgEdJQOYe8OcTABVLWkCt5kgI6Tp6GeiBvNd/NTqKoHFdsSl0h12oEOmR/soqzzXGQDWxTfeHx8UC0KknpHylSJr2oQqe1jsd5qXGLVKUYri4mTbqlLa2iD03U5rEgdkMFuI6pBr0IUOI5s1PulqT090S2Gidz7oYbz3AkEn16pBiuJ1STtBKWHC9KdFDU1Anr0QNqdFJ7Kea8yZ9JNkNJkjtTsl0iLSDsdlRfh5giSCRVaDmiWgEVEme6yNaRECR1hacLKvxjygkup1RD4evFIkLp6cDheS+/cRnytWnDwx8WM/wDlb+psAtrMnlOBcNPFONuczLtOjCw2D+Jj4kfAyd+ps0VK8JxTi2a43nXZvO6WnTpwsJnwYLJnQ3t1NyantYLsbO4vEMy7GzJAcaNY2jWDZo7d912OGZfGx3FmWwTiOI1E2XG4dln5vF8tgAAEuJMBo6kr12TyDcxl24mOHYPC9HmYWFq0PzLLHGcbtwyaMb8T4JsJWs1N60h4RmQYxMINd3eAfqsr+Esa9r8XGy+HpJjVmsNpH/3L7r9jX2VeEPGuHmsx4ryeR4XwbAGB5Oex8fyjmy4nX5WoS8NEDUOWZEkgx91yP/D19keXfhPyOTzvEmNkuwco/GzOvpqGHhAtHo5vut3w+Vje9j8T5bjGZyeG3DZxzJug/Di5vCxKfNWu8ZZhr2YLM/wzHxsR7WYWHBLnEugUbM1hfvzA+yb7PsBow8l9nOZzOABH3h+TGCWg0gtfisxMTf8AC497Lh/aR9lXhHNfZx4jHB/BrMlmuEcKxuI5DNu4ecF7cfAacRjXOL9bw4iC0gyPZcr/AAzOmp53X5rbwTNsccPGbgtxm/5jfNbLXC9JlacLw/mcZ38NrniLsw3u+oavvWQxGZjIZPHw8HBw/PyuDmORgAl+G1x+ritZxsWa4rrU5iuP466a+FYPgziOMf4WVzWIRWW5PEP5gBbsL7PeKPEuyWb035sNjP8A8nhfZS5zzL3OJ7lV6ebUN6V7J+OHJ8pZ9mfFC3URl8Nv8uJmm6v/ALQR9Vqwfs0zD2tOvAwgf/m47iR6taz9V9MIISu5Zp6q/jhyeCw/s00kHFzWT0zZrMV36hamfZzk2x5mcDnXluUp9Xr2YaReTMqFhewtMgEVqr+PxTa8rh+A+GsJPn47rEacDCb+hWpng/heHE/engdcVrf/AMWhejDeoMGKWR8omSQnDxhtcRvhvhbQQMo9wIrqzOJ+jgrBwDhYqeG5YxbW1z/zcV2vLkVBg9EQxpI5gDG8VTPE7cpnCsnh0w+H5NsW/wCXYY+YWnDwG4YHk4WGzaMPBa39Fr0toC9tNoU/hzGq24YVf+IpJxaDzXwaUMIOGJUuc8+rjVamtaCHSTTp9UpdWmHiHaeWv1TYjJ5TnzrF7H/dMcDoLWkLWXACgMGlYQnmNo7oMnk3ED5JfIk952C21nadpQc86h8HaivsYjgmLE+yr8mREFb34hn4o/7Qq3YzhZ1+lipl/QyDAdHw3tuicuRcSIVxxiR8Zk07oeYZGokkmglTPL9DP5BdUdamLJm5Zxr6bKwu0iTJ/VITWSnHyEGVNZIpU1CV2BoHxtgRYym1ED9VW4iY6VV4+QhwGmoM9y0qHBaG3PpFkdQMGZ73lAuoJpupwv7CjDw7EOI2qAi0MEnSSDaXJdQN0Cb1nrKcA4Y0fhB96IcszoafdKXEkmiDnGafVXhA5LT8OG0T2QL6zpaCBSQk1HqkJBoQLK8ILvMJaLTO3RAPMEmQOgKq1kAzfugXmDPZJ4Rk7nmak+35JNRMkkn3uqziQTSabqawd79t1eMU+oi/tG6XVUgEyLBIHiYuZhI90g1sLpiLC8tn9wEjnzNyqw+J1GlIolc40JiNqWToOXUkpDid/mNlW5wE3E2kJA53ad/RXNDFxJvE2IVZPWPnUIOdWd7HZKXTUWNuqYI91TA3rG6rc6DWhp8kS4yRFY3SE6hWAT3qtIJNSAJBO+6oMlj6RQVHVPqIbJi/5KsgupJBiQEKJMyd91U6GAxXYmTKYiG89a12SPLgTURESEQrgS06jQ9kNcTJN5CIn8JJO8Co9FCJcBOkGsdChhdIfQVlLqGqSb9KKOB/DTcH81Jn0io2QJAaakh490X87RWB8/yUcSTIgRufySh8zpis1iyLOkgt3puSqy8tdqMyTv2TvP4t7CCKpRGqGwfX9EALiRAMTApP6qa4ihcBaPXvuo2kgxbdQkOIiKbXAQAO0zFOwqoBPyNQalLNDQV36nZDS5zagNa4UFQosNUOBcSCb9FNUwGmk15rJbQQS0mlQIU1FoGoiZAAj90U0EaWxprepsPbqpqsSHA77T2S1LjIkCkW9lHA6WgRMj8SqPo/mOa0DliYiEk2NCK7UTDUH1jrMSFWdP4iAB27rs5UpL9QF/egKkmrnBgaCLbIkgA+U3U6NJg0CqDS6GYrDqFXAWQxdrAkNl82NoQqWhztNwdIo1SlQCSGgSIUGG8Te+30VDBwlwPKGmGxugXNDaik7XTeXrDdVYPRK7DxC7nrBkxugDiS4S6LXRcC4atTZtH6JQ2XCBU7alTnuJZLheC3F4pm8DJtcTpdivDdRvQXNOih7XlgkACTE3WXEyWE8kOdDiLAx6rjYnj/AMK4TqceymkmBDMQkn2bdcniv2qcJyj3YXBcJvFsZpgPxcXyMOfQ87vkFLYsj0Ga4JhY7YaWu1DcV7WXjvEX2eY/3U4uOMPL4US7ExcRuC35uIC8R4i+1LxVjB7W5p/C8Gp05BjcEdueryP+5fJeO5nE4lieZxAHN4hqX5hxxnV/1OJXO2Oklx6DxPkOEZB+I1viDg+I8OP8PBzXmkD/ALAR9V4LMcSwPMc3DcXtFNWggH2NVRmWvdqEUBoB0WTLZPFzmaZgZbAxcbHeTDMJhc4x++wUxrpqPEgT8DzSpACR3FWuZDmYktqJC1HwVx4sc7/A80GGhdqYJ6H4kj/DHFso1rsTKZjCa51cQYZe1ovJIUwUjibNsN8RbQKFH/FGNmWuBFPhFP6LNmMPHw8V5czGbqu9+FpLqboYLWBnNlxikAVPL6Ji60/4owGThvAFJiYCjeJsIb/DeKfyys2bwtNfIZlnaZgOuLzKmFw/MYrA7DyecxGmzsLBc4HtIH1CYmtbuKYZI5MQCxpHy7InieGdTdL3DaG79YWfM4WOaY2VzOCyYAdh4jKbTTsqHYeHgSA6XloIfhuoPpKmK3f4phEmG4k+klR3FcMCS3EFKEinqspe3GYGN84aeYgvJH79UjS7GHOH49g0aj6e6vEbRxbAJH+ZJFTo6e6tbxLLvIg4rSKj+Aa9gZqudi5XyBOY0YYAmDiDUO0TQqn+GaMfhzNP9v3ZZwdscRyeklz8w2tSMo5wHyKc8R4YGgHMZkUv9yN//UuIGh34pM2HTqm0Q/U5k71kVTB128Q4db71mRuf+Qd//wBKwZzhQM/4hmGjp/hrjP8A9y4jmYZJMeW2OVrTSe8pPIdIE6KVTB6Fmf4SAP8A3ljgUMf4a/8APUj984VHNxLMb0/w15A+q8+3LvLC8A6W729kXMaWMDWtBAjVYuKmK9Jh5rgpYPM41jNsJ/wrFI+hVzcfw/SPEOMxsfCeDY9PkV5huWxCw4oYXNaQ1zgKAmwS4eA7EOhjZc6ghUetD/DtJ8SvbGzuD5gfoU7G+GrHxcxo318JzN//AELx5Y4F29a13Rbhgg/EHirRFD7pia9qzA8LG/jfKNnrwzND/wD1q1mU8JvHL484ayN3ZTMCPnhrwukgkglzbyBHzRa17y4DWXDYNmvzoqr344R4VeR//cLg3uzGb+eGr2eHvDGKT5f2h+Hw49cV7Y/9TAvm0un4j7lQh8HmM7pkNfVGeEPD7zI+0Hwxea8Qw2/mrWeB+BuP8Px94XxK2/xjAb+bl8lIBgVd2NapCwGQWgj0B+ivSPsjfs6yGIB5XjLw1iV24zlSf/zWjD+yjzQPJ8ScCxBto4rljP8A96+HnLYdzl8KRSuEEpyuWM/8vgx2wW/0TIPvA+xfiGLJwuK8Pf10Z7Ad/wD1q7D+w7jDj/CxsB4NtOYwj+Tl8B+6Zaf/AIbAEbHCE/kp9zy1f+XwD/8ASCZB+jMv9gfH3vB0Yj20ggA/WVZxbwbwn7OcgeI+MM5h4Wn/ACMlh4rHZnNP2YxkyO7jDWipOx/ODMplhEYDGnsIVuGzCwcQnCwmYbnCpDalXIOz4h8R5vxNxA53PhuEGNLMvlcL/Ly2HPwM69S67jfYDDksvi5zHZhYDdb30aP3sqcPBxMzjYeDl8N2Li4jg1rG3c42AX1X7Jvsw4j9o/iHD4B4bwsPMeaNWczTmudgeU10YjnFpBOXaeU6SDjP5GkND3ChPAngLiXjLiWV4N4b4c7jGLmgcXDwG8jMywGDj4zz8GVa6gJ/zXUEgV/cfgr7Kvs++xbLZTin2hcW4Pm/FObacR/EuJ4jA12IIJblcF9mtEDWAXEdAYHM4C3IeB+F5rwv9jj8HFzHm6fEHjHO4Tcdv3lrdJZhMbDcxj4Yo3CbGBgUDpILDu4ZkMtwXFxMxkXZjF4hmABmuJ5zHONnc0YviYxr6MbpY0Ua0Ci3GK+hYf2xeDM0+MpxrN5ppEF2X4dnMRp/6SzCiPQ+i24n2n+HXYZGHhcbzk/h/wAEzf8A/WwBeAxc/msX/MzWNi9n4jj+qyvdM6zMVklb1jHu/wD2m8Ja8DC8McaxAKgjI4WCPk/Fb+S4PivxzxDxDwjOcJ4N4fw+GYeey+Jl35ziOdwpwRiMLHOGDg6y9wDiQ0uYCbkLzupsQGx7IHErBNuilq4w8O4eMjw3JZVpIblsthYHN8UMYGD6NWnySfxR3DU+uLTRRxMSTX5LljpqvyTFXGCbwp93DACNUCisk2NfdQuiDFbRKnE1VobIuRHRE4QIile6askx/dLaw+anE0sAChieyYiY01PRKAADI/EmmL29VeMNEiLu9iUIHSnrRSk0pSyV1jH06qcZ+hIO3NKaYA9a0QADABeEhImJkxY7q5EXDmkyQoXUuTI+Sq1kiCKzdEvgCRFNlrF02uBTm3S4juUmIOwSlwbSYMpHvdABJJBupiasrMur17eimuAJb60SB3KCXTVAuBJLSJI2RYd7pdQxNJVbnQ7UJNDbZLiPqBfaiR1LwD3KCxzpiSTsYVTnSSALJXO06QCZNZSeYLEzuUDF+maXOyGogbFVgk1Jid+iGqY7IhyagIaooIVRfMoA0EE/JBZqmgttKqxJdIaJO0GymsWgwk1R+qLFrzS9LGEodv1VTnEBp6lTUB07IVYSQaATCUvMcwn2SF1KUSmorEhBbqvNQUNqigr6Kok23FaFKT1+SC3VQGwCBJgi3uqi+hKGqRXdBY50XE+qDnSTpp1VRM3uOhlLr3t27oizWd7kdJSueYEhV6jMAk3SEmJt6lAznCuw7KF3xFtSe9gq9RJ27wlB6/mshjqgRv2ULvzSEmdzFEJOwk7joqGmQDAO0qup+IR0qoSaSOlJSyAYhxrNFQQ4neCkJ1VoRNFCdTSSJBHWFWSBQxEQRdQFxkz+iUEk2nayhMBvKZCTF/iC4E9RuqiFwMgED16bpHOAiBJNhKD5dJMaWm3VEiYaHWEmkoEFuf3PWqjhNQTE0gICC6pB/eyBgChHYHqgXTNgAAaiL+ikajIn1G3sgZifiM7m03hCRWtRFChBItppSatoQlcTEAg9xSOyhkDSW/0QeRq2LI67/oipWK6oESYF/wCiQmTQtiP3RNqFngAnr0SzLYn5t/qiFEUidQIgIauUfjg7b1UJaGFpaytAZUIgmSYFYNYMqCQdQ3I2F/dAHSIAYBHcJQXOIBgkExDSkL3ViD6IpyDpbZsVECylCYbFOaoqPdK4xAcIAjafdTU2YBdQbGAP7IGDQRIvEfCEC4NfENa6SaVj+ihfzaQ4GRNRZQOBGprWzND1KdAuiDFadLe6UEEBzhDdO1fkmMAnU2KHSKV39kgJeZ1VpIBmFFfRGYhfyMcHkD4gP39FHAkQ+ovFwlxAx0BpLp7/ALhEQQJBGmKD6Ls46MiDYgd4hGdQcXGYFgeyhwxMPLovO0pGsJ09ZmNMyVWRa9gIYW3FpoPbqmLQxxmSbXNUpw3wAXNcAY5ggA9pGpsweYi4RVjSTQCd6dOiXXq2ImtKVSvrRoLQ48wJuEWkDlggAUKJ2gLiRVxINY6rj+IfDWU8QNw25z/OwgQ17magJnuKyu1q5RLSBsYlPylooRTcIuPkXFPsD4dxbE8zE4tj5fEg08hr2e7XUK24H2LcCw8HCw3+H/B+aLGjnx+D5hrnkCJPl5oCTcwAvpzHsDC57hp2BonaWHS0EEUkzKzka5V8ix/sIyuJmzj5HD4NwvLlsOyOQyuPhYD+7teLiO+TgqX/AGAcJfX/AMPcHxSBOpnEc3gH25z9V9oYP5T6BXMoKHY7pkTlX56zX/DxhgA5DguaBADmsHG/MYT6PqsOQ+xfxNl28TweL+F+Lsw8TKuw8o7hmbyz269QPOSdVQNwR6XX6WD3a9RIPUEboyJIc0AxJpRManlX57yH2QcOyeCMPiH2X8Szr6asxicFxcNxpWuBnwD/AOkFX5r7G8jiRj8F4Fi+C9InF/8AdvFMZz2i/LiYuK2T1AK/QDdI00ibb+6duI1ggOLT1kj8lMXk/PuJ9gPDcXDl2Qx8fEd8WLg8YzWA51L6HtgfJcHif/DwNDnYOX8Sg7OZm8DMNja7JK/T4xZJLTqjZxn6I4hLANch0WLt1ciS1+Ncx9j2Z4JnMLFzuS8R8Vy4J1sweBc7IEiurS4W+a9LlPCHBm4nlcd8TZ7MOx2As8nG4nwYYED4MRmJlX4YI7Ejuv1SzHxmwcPExB6OIp7K4Z/NNbTOZgtN/wCK753Wcalx+TX+DfCOLqwuCeMMVmeDT5f3vxkDhau7X5Rsj0Mp2/YdjcTY/FzXEMTOYsif8I4jlcVsdg8E/OF+sncRzbx/Ex8TFbsHGfoVmkOcS7Dwj/q8ps/knFb5PyHn/sBx8MYhweMcVy7C/wCDO8EbiNp1dgv+sLzWf+yfjmTwDhN41wPGwWV0PONlfnrbRft9rmEthrJihIAr6J3YjdLRisw3Nivmsa4fVMSV+IvCvgjC4hi5fh3DeL8GymfaHffn4z8v5+HiCKYbcy5jcRlWwWu/FZfRP/YZx5pe/B4viZjCEEn/AMKZHHBPqzNkL9G5rhPCM/h6M9wXhGbwzcY/C8F4Pzaeq5L/ALOPBGO6cTwP4WcTuODYDfejQs41r83577D/ABJmcXFbmfD7svl2/DnxwXyg8f8A8TMRxn/uXleI/YxxPJ0wc/knPJgMzGSzOXJ9wHD5r9i5Pwb4a4fiNxOH+H+HZHEaZa/L4bsOOlGuA+i65w2BsOa4tN5eY+quJr8I/wDso8X4XPkeHZPOzQNwOJ4Qf/6cUNK5+W8BeIjn35TifB89kxhMOJi6m4Ze8D8OGQ4hzugHeOi/eGZ4JwrNknNcPwMfUK62A/VcniX2eeEuL5Z2BxTw/g5rLuicI4rw0x2DuqLr8gZT7N8xn8DzsrwHCwmmQ0Z/xRh5HGIHXDxWCPmquMfZtmuB5YZrjXDsrkcmTHm5bxlw/iBB/wD4sMl59gv1vgfZV4VyjR/hh8RcLA/Dk/EubY0ejXOc2PZbcDwNlMviDEwOP+JwZqMbO5bMNPqMTLkn5qYa/FDfs+4xjsbmuE8HzHFcmWjQ9mPgy4H/AEaw4dLLlZ7wxxzhrnnOcD4tkoNn5LEIbPdsr98Dwnw8OAzeG3OOdOp2LksBjqd8NjZSv8FcId/lYJy7wZa7Bc9pB3PxRVOJr+duLi4GBiBmYxG5dxBGnFBwj8nAL0nCvDP3vByBzGDnMXMcRAdk8LBfg4bcVhMA+biHRMg0kRFV+5c14Hy+bwMXCdxPN4mDiEjEws1h4eaw3T1a8V9Oy8nkvsYx+CcTdnvDfifKZbAdXF4Vm+ANxeH41fxYLcRt99JEwmEr86f+w/xbjOP3LwV4rzuE0TOTdlc0Y/8ApPMrzmc8AZ7K42Pk35fimR4zhVfwjiGR8vNgU5tANjIvF1+xMb7PjmsVz8x4Y+y3HxnzDsvw3iGQaOh8pr3tScP+zx2Xa7Dz/h3wW1rjzO4S/MZcnpIewyfUpg/DXEeH5nhLi3i2Ux+HFvKfvWVxMH2lzbrOMEO/GHj/AEEOHz6L99Yn2fZVuCGZM5nLNBJbhYebLsOT/odI+a8rxP7CeDcRafO4RwvOPj4jh/dcQ/8A1MItM91eJuvxZoAEucKXJokJaQZeCNjK/T3Gf+GxuE4Zjg/BeN42IwUy+HxnAzGET1jFAfH+nVUbqZX7KfEWBq/xpvjTKHWNGHwTguAcJrabEEk33IUxX5f14RqMTDB66wmYwEEtIJ6gyv0nxb7N88w4B4NxLxs7HZ/mYfHPDGDg4BPfEYHQI6tW3J/YbluOYAzHGcjivzuJXEHB+JtwGs9GPA+UKo/MHlFxiQSPogcu4khtqXX6V4h/w98NwGk4WJ4qyxi7svls2zsfgBXjOLfYicvqdk/F2Dlaf5ee4K/A9paSPoivj7MF9KX6VhPi4LcIDEL+UGCSIqvWcR8IYvDToPiLhWYMlpa3K4oJI9A4fNdXwv4f4rxJmHlvB/Bc1xnxJjY0YWOWMfgZRkVxNNy/YTAESSiOR4a8HcU8R8ZwfDfBcXK5PiucbPFOIZzHbg5bhGTguecTEcQGuLA4ugyGjSAXEgftbwp4fyXCfDLPD/hJub4T4Rx8PD++Zx7HZfifiDSIaXkQ7K5TT8OG3TiOaT8Ac4v8p9ln2J5HwLk8vjeIPK4pxluJ94GE4jEwMDGucV7j/nY0/iPK38IN19Ue5znOc55JdJcSZJPUlIWmwW4OWy2BlsthYeXy+XwxhYGXwcMMw8JgEBjGijWgbBOXERLhF7qoP0xFtlNVjYR7royuOIRAi5pVKDNaHZUuMAip61slc+PikV2RFxxImYHogROouEVVTcVs1dt6QFPMbNDJKin9KUQLo/F7ESqw8yYAtujrdPNWlYUBL9MhztpnZKH6iXVNfkqyCXy60bdZU8yTU6i4VMxCGry7UYEGUCSDzCawCqQ4RJMm9boueJEGBv0TBYXEMcJ3pVQOiD1VGukh0ibAJjixFST1CKd2ot5W642mJ91NVQ2/oq9Rkg830CDny41FoQXh8zy3oKqvUCCK3KQ4g08tjvZBsQC+TPRA9GxpOr0KBLiTqiB0olEBgl2kjvX5JQ9pEOdS6CxrtJMTHoke4u6EitksEQWHULqUghw5jugeTNQJJlAugloA9YSgcoBOqDQFDVJ+EtHWZhTAXSDIv2VTyDUj5ol8GGmehNEoIaCUwKSGkmpPdKH87gRAsFC+oIJ9YUcwBwaBfcIBrmh2S6q7JXQAQAf7pCQgYmqBMWSkxMRsfVCe4UDaoHQ9EpfWCZKrmvZDUBWaopy4keiDua/5pH2gIE1tapRBmkTZDVEVAhAkEnbskJP0uinJtNVC4UjrCQun1SF1EQxdqEdLQUCaEAVibpA4eiBvsa7IGJExPzQmp7JZkWNt0oIAofogeamCANylLgZqQCl1CxkgWS7CCAgPXYet0HOi9kpcazUUQ+GIQMKgGyVxmkCndTYTQhISRQTRASZN/wC6EgUiK0Umu4PYJAYoDvSEBJF9Mn03VbnCps6LA7pidNBAi0JXQDIEjcgWQDVDrEn1SzzWvQlQihFp3BolB01BuZO6IUGJMuNYBikIGlG7eyhdUifeLJHOmYBr1PZAQRBmDFh/VLIM7mPRECI1B3beiRztUnfYEIISA4wYEV3KAJe0AXHaDTZDUPxOHuEDLxzc3ofzRRLi016TWxQc5oDj7V+iAaA6adkdTTq1EkmQCURCXAWgCeYH81WS4ird5In9VHuIFJ3M/wBktHQegtHVFFxgiXUrVLqAAERtEx6IAAWbWelEJawC07+yiITqBLjM991JBjSZI7hEAU7D1+agaCAC7TSY6oqEkGTQzQApSGsbYaQIEVTapDS6QfSD6EIEwDHMZmBZFACBJ1j+qJHYAmDcyUJa2Jo63VAuDiBINZPZA0gaTEEEQ0uoaqtzQyNJOmJMUhM11QSXTIJDjZISNRAMxvCmFfSXa2j4cN8SCC0j3VfNQgNaYkQVcIIBkNMRQpNJ5S5hMGgn99F2cfpKxJaOhEol5aBqaYil/wBFI5Q4AA3b0MlDcAHeoit7qoPnNd8BuKAG/oi1oa0Q50mKkRKEVJkUuIv7pHYbaFrAwCSXCh7+6qZva0RoOk/E7mEXTGS6BMHqVTLoaTrg2F0/O0j4ZqILdP6qa1iwAYkUIBrJ3QLwwGGmLUVL8T8Lmkg7sM6Z2TOxg5wL9YYCZJbT1QXNeQDzEN6THopJgxUkhVHGwy5p1ggCo6qxpMmoupCngSdWm0xMwFcG6SJpEmh2VNCIc70EwVDiuABDwQRBnZUW+ZMeUPxQRNAm1OBdqxCHTBPU/qsuskfDAkGU7DJINtzEfJQafOcWhpMwOkIEucw27bKqdLoEukmv9UxLqzWuyC1uIWiswBWDT+6bzIbBaaVHae6obiQKECO9SkfiuIPMJFgDf9yit/miTMCRaVBiweU03qs5xWvs22wSyJNhAo0n6qK1HEERqJFJCURILa1g0mkrKx7gDWK0IpCVuJpJ1TIsBJBQbdQE7mKmEQR2JAsSssus2gmhduP0RZiQ8ggkCo2lQbC8ATqJPcV+SY4kugNBm80ospeC2WNIb+qY4jNUU76nIrSXE0BMdkrsXRcEmagV26KrzIJh1AYVeI/S4GYNqHdFaQ8kNBGkkVEVU1ikVgdYWbUfxip67pi4yeYATeLBRWh76CWz0pZM14JkTTobrICCKE+vVWteHReD1/oqmrcR+nQ6BIdU9Nv1VmogHr6rO86sNw6tNAL9EzXlwJDYnoZQXTS8R1Q1S6ZM3uqpGoU2+I0UZiRSe1OqC8EzMmaFAvOmRfrCTzA0D6dkGvls1HVBaX6m01OAg2UBLrSa1gqhuIHAtFW9OyDX0h51PaYQXkgE0HcKBxDtvZVEuH+mawpcwDI+iitQzGIw8uLiNtZxChx34n+a97v+pxKy+Y5xqbqGkVETuUF0lpkCptCjsUmZ0u7PYHfmFQXgRDoEVgykdiB0VoDWkEqiOyWRxXTjcN4fiEX15HCd/wD0q9jzg4XlZdmHlsA3w8HDbhtPqGgA+6pOKT8LQBtJlCS4EyB1ICkFhkjYjZAugUHzKqeWhvKZ/wC5Jr1OIDaRSiou81rJLnCQaxVA40aS0OPSiqc/SCC2Op69kHPoafqqizzaGBEXB/NQPJoIvNAqjiDTQQKSAErngiZMf9KC4msOnbbdB1DcwLyKBU6iQaO9bBBxsN5rCqLiRuBbqg2CHT8PQbqsvhpgUJ3KkuoAPcFA8ijRHyQIjTv1CrILaAAG5ULpBNCB9VFi6dJvHsoXF0aiQAFScU/Fyx12QlzjzBvpZVFpcTqguNohQkxJdHZVzpqQK2Qq4S+APyRTuc8atJmRU0IQbBMnUTNIAQEi0+ihhrQIcJ6FQMS8NJDx7iyLiWkCAQR0sqnaaSXQdkHadRvbuhVpeY/DO2qhUdiaxzR3hVh7R0AjoiMRrRNNzUqoEhzuWRG4ARdpJLpd3OkoNcSCGuaetd0oe4gzIExOyiiXkVLw1s3KjdxS1CCg5408pnt3ShskwYkxZFPB0mCIO6pdIBrHXrCjmN3PepULYgA3rdQJ8TtW1IBCnM0gA7T6qAOJJBLTa6DtWojcUcenZQA3pUmsKs+pACd7ebeSdtwhqkxCCskgwYSk8skRSwR1XSmbiT7pQuo1pE2QBg0lT4TbdLIqdgoqCNySaqahJpJi6R7tW/a6BdFQZqgOowSPzQJNjA6G6E1M7hAEUM1siC6kkdbhAvMCv1U1WqlcRM0jogJeDU9aJSa0qg4wBEIE0NSgj9gRZKTqPUdCoXjYJI/mmTsCgOqSZnUlNr2AnqhAAoACd1CdRgbIITAIm/VSpFEHWNwe4SuJHSiCF14ULqx1Smu0iYRuYkinRApeZEGB6IF4ApXrSFJkSLbQldJBkk+9EBJvAg90pbLjPtCVzoMT8qpS7TJmu0n5Igy0AQCJkgmxQJJFGgE1MHdAG5v2QeTLZnTeqCAEzT202SnVE7/n3UdERMbyUuoTVxpsVFSbAwTY1oiTzWb7fRDpqkCqAPLABFKQVQCJNQSdhKENcTHMa9pRJgSTQXEITQ1kTAneEAMSNM9oS3FYrYmaIm8Cx7QoerxI6oFcYOlsW6klLIMSCHEUATB00FYt6oE6QQAZNv7ooAh0uAttpS0FLm5Ebow0AEkwOqQkfC4ECK2QKWg7QZodp3UkkOBpPWb3qnNdrUg1SOERBr0KCGLTekXr+tEdQJ5Ruad+tUHEQS2gmfUoGLQab9eqgbY1Ig0EboMcCJF9x02KWtZpSuoXRJNSadTO1kUppa2ob19kS4tihB1VI69EjiGxpcCZNBQoaHASYECxm20oj6YIc8iC09+qgIFYIdWUgcQIbBJMBSfi1A6uq6uP0XATEEyfYqG5c0wYgAtSB7eYucRpqJE+yJjTM16TN1UvRgGlrjAJub0lRt6CCeyV7YECr6CgKkAscSXNig79UIuA5CZND0iKpSwloJmDU6TCUOYIDjMGLVohikQHNbS1UPpYLYECCakCordPhUw9YJma11bqrDdYup1JqrJGpxbRoi+/sjR2xEapaXbilOyIw24gGlo60FillpIBJB2omBbFamZMn5IyD2BggF96Voq5JdAeDSZIn1Thwa7VqEC4AQLjQudvSTCEQnEEEhsbUiqYHEY06MNjnRbUY/JLqIMaQW9jUJmgyNIgXoaJqpzukhkOPR/9VGOdWWXtFoRJLQB8VKwiDEVDTsoqBxAMChup55AIgh0TEEFMA4zIpaaJsSIj2BlD2BxK1N73n8kfPaOWPeSRPyRGk/GDHUUon1t1ACgF+VBUXAtJLtJMAjr7wgzEGshzqb1V0xqiWm5iUgBJDtcE1mbovWiMVpdBc4dupTDGaR8WoG3KUGuH4yGmLT9UwcWwC4RahUX2D8UQe+4Boi7EJcNINaxBgJg4wGijrwDetVCHTMGtIiyhmlbjcvK1xMzVpskc8GDodM0um5hWDBseqD38sEFsEEQFVHUay107EthAufUODjABpsoHkCIBk0HdCYImCOp3UFjXwaMcGm5iUS8BvLhOAvt/VK1zwOUCBdGJc7TpgEHvZBa3GJ5tDnU2ICGFmDpA0OGmk9IVDnQ5jQTWfSUQQSWkC8mDeUVoOIHCuGST6QhrcWFrGltPkqRpkguaO8pwTAtHWUFrXmh0Enf1Q811i003kKqYcSTQ1myh5jSN6k0QWeY+ZrNSaj5KeaRiS1vxd1Sag6iItEokBzbGWmRKC8YrgNyLhL5gMQSfQKtrpAc2SL0Mgpg4wAJvZA3mikl0Go7InFa01pFatVRMNoD6lI3FcSScM9q/ogsbiCOdwbQzS6IxaUIFrJATeDGyVxqZg/8AaguDwTUuLjYAI6wKkEVkSK/JUEaYkQFNIB1M5YuQiLNRrSp+iIeQCAJ6SqtfIeaIUDjFIPdUWmT8cxXZGgEtcBA33VLiSCQBFLGyJdJktNrFUOcQAiDc1/2THSSZ+arGIdRAAae4UOt1NQPWBCIfUASNu6DnAm47CFUNQmBWqLZNXbCoVDHEDTMj3CUFptI9oS6gDppO0VSiXOodUBBYXgEtFXTQKCT8YiNkJ00EDdQCTBiBaimCNJc0NDoFbBB3K6OUn5I0BOokx3S4Z1HmEE/TsqIHiHS7uSU4IAET8roag2YbGpKG6gYADtu6gZ2I8Agi9pTMcSDIDQq36iRBlo6UTtLHANDg32VCmSaOINoRfYhriXwQCdksEibwbKHUBB5YF5UwEtkVkxRJAmABToEodfSdInomayWCSCd6oAS0lsNruSIP0QLeQSdUXVg1CC4Am/uqySQ2kAGsKKjjWrgAO/8AZCQTOpskXKax5hym9EpdpppIlFI4uLibUuFAABIFR3RJl1D2slcQHGKd4QAuIbqcKXQDXVhteiUyRUQw1lFt4Bqa3uoCXE7mQP5UjgCSNQBj5Iy6teY9krJBdUAAW7qCujWkagk6Vp2TuJ1cpn1oq3806qoATEatksiJFOyJmxaB0hVkgTIMC5Kig8yBEgKEggkSkeYIpAgKdyZgIVC49KRCJO20US6oFKABA0MjfqiGJ6FAGgIqYQLpBH1SHYE/RATBvtUQlNSZp2QrvYVQMmZMnaN0DOPanZJIA5q1shJirY/RKDAAufRAdRMlsegQtQygSL39EATFaAmlfkghJpe14UINZug+kwSJQPrIiYIQQ2Jk3iqEukisDfupvNtykDqwJj6ICCKgGt4QI6A0N5qg6CaRQmqVziSTeRPRAZAM6ZNkhmKiPyUBg3AMXCBrQ16hADIgiIjqoGxFDI6TCkEAyIM1QI2mAghJM6ZBKU2FXTKBIrqgwbxdAE11G1RSUDEnaSKpSSS5wkg7C/ohOw9ZG6APKRUwOiAmhls9AgSWmQR6ylgAuisXmg7KWOxNfREGo1AHolc4zEkzM9kXEA1NDsEtusC1ae6KBAJLgKuiYvRTTFBeYAuPVQgkCad0hEG8DtdFOHEjSZcZEgJIk0sT6okc0ap79kobaJoN7oELtUx8QFjQFSumBcE0No6eqYV5hJjexSmBQk9JFj6hQM4NIALQazpm6SZ/ESRcGon3Rc0gEtGk1AIOyWkyTJERW0oIHiDXeBO6JAkiRQWBIkJdYFJAkozLRFO0FQR8RAoBUdp3QBMnQKRUiybTXU7SOxKQaQL6Z6CEqvo7C6jXOBNwWiiLtb2w3TXuYCUAN1Cgm3Nv1RMuJhrriDNF2cPiQGgB00peUTBAIbPQaiISvFtRNTIEJy0B2qtaRFUhip0uIrBNTBiqJwiACILiQLpmVPKCXEaZ00RkuMPnTtVUCS2+qCfRAwRIIaT1qQncWhsUFfxbKOkMo6sgdFakoNGlo0ukE/iNyrYghoIeLEihKraXam8oIJgc0yrC0CYBJ3qotK9pY4ACS62rslcXAQ0GbAB1ZRdBIAMNaIkggJxoFRJ1CpEVRJv1WHOe/S0O3klqdvxDVJHVNobUEEAQR1S8xq2dIMmfWyinLdTZbqkUkmyVsFo5a3EmoQLjDiJ1G9aIF0iAKRyg/mh2gEmpJikdVbyMg6TagIhVtc2RpOgVATS1kanCDSI3RUDWEkF4HZsoudpiWiJBFYQDSWGDAJ2FggC52JoYXFxduNoRVsg3BBOzkzG6QdDjTaEsCoAExBlyGoGopsYMSUQ3mVdEyJqU0A6Zi1zskAfrIcGkaZuiXQOYF1aUtVFqObrEuBjbsmY4AaSADFe6BA2kgmSlkOaXC4+EyoLPMaBQgCNqpOb8TQZ9qKS1zTpJMXlVvc0SZBaLURVw0EwJtv09UMQhzaCnVVsxS6XN6TH7ugX6nUBm5JF01cMwmGXO17dlZqBdOnbf1VQcA5wIsfmmLg5uqeYdlBc4S0loHo1TUCGkSDvO6pGNDdXUQITtxAWgUmUBmSBJ+SUv04rSALaZj3Rc81LJJitKJXjS4G0Ed/VFWuAdDTy90ofrEAaSD7IuaABcjeICrD6QOUTQQiDYSRICDXfCQXEC3ZQgAzeDX0SElrKH4Tv0RVoNZnm7hSsVkCx7pZbGp3LNY6pqGSXQIt1QDDe3Co0Rv8NAU2smZAgdEAAKF2odEQ9sAls9EAL4qdXy2UDtR1OHolLhJM1slDiS6a1pH5qoLXOcRYCyZwE1Mk0ShxrDCT6WlAPdSeXvCBnOIEGjaRRLOqYFARBqgSTVjhaTS6aoFDJpQII4HTLWyD3Qw3kjlbPVLuA+SQbJiADFZlFMTLTSAprDRUiQLoQGzIEdYUljjRsEdlWUGMHUpeKlR+ktqWxsJVby0mQJIR1Nc0UIOw6oDiPbI0vBrBHVDS2RWQOxVh5Z5QDOyj3aWgSZKoSjTpAho6BBpq78LTb+icEiYMkomS2kn1QI5zBexqJU8xv4n3TAQOaafNGhFqoK3YgcWgOnVM+yZrwB8QBVT4D2AmCWmR0UOmYFd7ILtVYaQSOgUlw+EyJmFXpbJgDtIQIa0gfkUotJkyTT16pR8JIDSNpO6QUNHYnshJH4yN6gKB7EaJaR06KAQS4Ge8wUut1vMFdwpqI6GBMzZBBikP0gFtJE7p5c50dQqzLSCQfUJXPBMNYSSKAtlA4eXExTaUA4tMHreUrSGuDdQaBWIsjI01c0+yinLpAHNFQISukGsm01KlYo5tL90CXOq4R6Hb0RQnSXRqPQJCZMNJNCLIhxEEBwolDXaHcppAjVZA7g0SKEgRVI0S4hpgiGkwpEgEtJKLQGzAIJ7qBHEiZi8GiEGve8oOJpNwPmo1+prS7e9ECEkRpqFXictxJV2lsVMn9FnLpfpoY6FShXE0F/RISZOyZ5iKiJiOiTc9QoFN+iFx7eyk1pdB30lFCR2QHaw7oOdA+ZNEC6YQEugwJF7qSY6EpDB2JMJYAnSBBqin1bGIt6pQRNoHZLqkAe6kiTE2qjIE0M0EdUgdJFIJFOpRceQitbIO6CYptKKGoaiQAOglAw4mnsVCQBSNQrRAkyDJ9EQ1gCIPoUCdLjU1G46JXPgj+iGtsmpcL1QQmprc7JfhFRPZB+JQRWTQEXQALQSautKAyAOkFB5IOk/KYUMh1THYoToNDEf7ogTp1CrabbKAajefw1EQlJG9L7JXODwACZtBCKZ1DaNh3SuBcBfrUfomOqdOx77JIlvI6Y2NkBmf0psoRDDJDQN6JY1DkpeChrAtY7/wBEEmsAkm9rSk1XIBIFFDAEOAJFwoSAYIqaoIQ0yGtJEbUgoBxmhMXkJTQOkSR7pXRWN6UQPQkEwNqbpdRDS6hIdN4F1KEVJHSlwg+SATzMg9pRUMg11aupugJBGomh3SE/hkgn8vVQEAkACDSgn5KA6SZAmINeiM0OkaqwYkzRJNuW5k9io8t1NFY1TSZn2VDu7EVPS6DxBM8piJKQYgc4AUMVGw9UgIH4gWkmnVQ2HIlwc4uBApQ1HVRzTJgEO32SHkbBcSKxNUBpAh0EQAABIhA7zSIkgEGsR80HPluqJtABt7dUgfqc0mlLGKfsotLTeOoBqppEEB4c4EOeazWFHcwJLIN4FYQL24fx6g0GhPcIaiRIIIkSDvRQ/p9LBOGQQRqsDFQEwrQmGg0pf33VcCKuIMWoqzeGEt6Su8cOlzpc5zXTcxCOoOILzNgqzh25wZ3/AFTNaW9XGlQqUA4Eaifi2j802mTPLWkKtr5BILgDME0lEPcCNJvflEKLhy4apIBETaaqOhzhobqNzFAAk1BrS5z4inSUoAOnW0uc6DIqTuqyvEtMhzWz8IiVNWoEEtAE0SgCWlgIJrOmSUzXtEguIIJoUaKHbBwLQbwdk7SSeYEkdZVZfqY4tMN3gp2uOoSSRG4kImnFBGl01mqjRLTWaTEXUcTUOOqZjpP7CjJsSa/kUWg5+otAMAiogyPRMX0Jw8RoG4KjhHwkzEXpf+ihLpqKIAI1UcAYExsmJEQS4DefzUEPDOZ0Cb7qO0aqA6QLR9VFkRrtNJpvIv3Qkkh0EOLhv9UriTOls+oCjWg6S4E7STCKsnS4Oc6PVWA0kSa1jqqhpJhkbj4qhEgMEVAA/mKqHaSH8oIBtJ6d1Kipo0SDWyobYanvgRQJtFQSZmakVQHUwAAE6ty0J5cKktF4gyUtfwkGJHwiiQEmBJOowItZZa+H5aOmb91BBq3EBjvX0QcRJCV7S6Npt3QEAE6MMH0AAj+iYM5RqIFYIbNPT2QDuUNawxHRQhxaNMQRQ7KKhvBNPVHUI+Jwi8oOk6S4i9gNlCQ95JAc4b9EEBiRWTsnBuJ0id6hUggPALQ8OEprSKRMz0KC7W2RI1T0qnImWxIIOyzgzMnlAPum1ERvI2KKsY8Oa2TUCCiGjVEgT1VLXiSAfxSIG6LHE2cSPSFRYWiup1YVGMTBa13LqEmpmU0uJa3tSbIE6RqPaCoHYKAESYMyFY2lQIVGGXQGu2mnun1GRSh2QMwlsyJM9dlBEjoe6FYm5O3VRtBa26oZwaWw2smLICGE1ubFKSXdB1hEP5iZm4MBENrDY1VJNKoRNLf9yrc6rYvOyIJuG6SN5qgjmgYhiKNEINaQ6KCUtWkiNVt90Q0DUXGbXNqfRUWE0l3uZSHFbB273ROkCAJMdUD0gAKBS4HTQkgoh2r0GwEKQY3hKARM+iCxpEnaqDi0TAAb2STzACpm0KEiIim8FVFjiIMTJ/JQA0MyYVY0zGrTTdSXUkgzvKCxxNYtZQPNiD7KsEh9BdFwcSQZi1KSqLASa16GtkC0GBQdQla3S0tLnCeplKTJEGIQTEHOIAMMINO4RB6mD8krq4rRYaXGT6hTaDBuLIGpWDNKphAMOJM9DCWwE9NkNP4jsbBA7g2TanVARzRpIvaUCRUCp7JQDIit6k3KB5E0DdRoJF0QNWkCAd6qp0xqe61U7WRO1FAXP0fitVAOILjEE3kIPcJDaGImDKmsumSGg17ooybG5qSlDgGig62Raaj4jAQaARUQboJQGYZSaEIEMIJa0Wnp7KRDwQKHui8sLmyQHOmB1UqkDWk7iRSpQLeZtXiTIqShXVDYi6hLg8AAgVtW6gjhDp1Gkb/VAB5kgwUpcIBApNyCJRe8Fp/DFiqK5xGtMaYmSYhSXjDAhpmt6lHXAlwMaaSRZEPY6WMqQOqgBc6A0ik3CodDcQwHDlN7rQ1sC4cS6J/RIQC/SSYETAUozvgthpNR0VZMuJJ9lse1pbTY0lZXtq4mlSRRRVR22SuqIO6Z4DjLQB39lW4Ge0eqAEwTWqmr/dA3O3dLJFI6oI4z8MUHog6xrB/VLqvfvsga9D1QqOtUkA0qpJM7CYoEDFAaH1QiDJJvKIJ7kgxvVIT1p+qJOkDS2Z6FIS5oG8goqOI/mAihgpQY06TG5PZSTSk9EJcSSDJtVEHVsTaojolcbgu0qPdMuB+l0HESS6gQGTqJiD07JQCNMN7xEd1C6BJi0iKpPwNI7UQPGk3psOqBIJtLh+4SucBJBpIM7oagY9K0hAJGxBmtrhR1aPAI2rug46TAmCYgIagHHUCBNYAQEE7jTNxeUCBJkek7oBxJFxApJQkTctKCONamoFISkwaClTHZBwbA0gQSfdB43BIpZANYZEkS60zQe6DXAyWi+4CYUBFaVqJSmt69KyghIbIaC0TbpVLqkfDJtCEuiIdINiLoUmri4yRER7IptTZpPfTdKTJqZil0AQ4QTzDvugTbVWQYUBDhJLa9ACKe/sgOUNAk/OimqTpBAdEVAn9/1SB/xRMj2hFNHMQ6TNmkmnogIcCDJbAEFAkARzCL6RM9kgMMaMSJAqGg7/sIiyZcdQps4pXGQQ+57xO1FJaCI5a6YA37JSQ10E6dMmxt1QNfVWp6mooq2Nt5ZMtA3j6IB8t2BmKUHvKXUDXSQTapg9AhIscGlsRIoQCJj3ShzSzmrFIIInoEofJs0wIvc7qBpABY5pBMEnooU0iQXGSDMCT9eqOIQZLiSBQwVW4SHVjrsOzpQNZJEGfi3H91FfT2xXUTP0VbgQG/in+YK1pGH1HSBZVasRsta4QamGTBuu7z9Hlx5nuHKB33TV0vNXTfZVtLooWxURpqQowPbh6nzFvqi/0kDDnWSZrUxCJIeQXDp7KOcWmQZpABsf7qangkCWNmDWwRJUaDqYREQYAG87KO+MaAaVIse6YBrg0S7qBMWUDBQ1tVwcUi3DFxmfh27pvigAAj0Wc8rny8zSCSma4hsh00qZkV6IG06g6YO8pmHE5TOrVfskkltBS90NRcAI3iLwEWxY0EFrnwBYS6tkfMBtPeCkJI1TSRQpZAI5XHeQqHxMQhohhc/oKU6+ifWHCQ7VUAx6bJaaSHQS4x7KNOpwAiDFXFQq1ztGkEf+pt1Vo1aXFx0jYiVYzTEPNb1RfqcRDgAKzFkIDaANN9jEVTEa53LTEGxpdJWZAAkWFiicTS9umadaxRFWNa0TsoYd8RJHZ1EPNBuYNIkfVKDqcQ/TSt1QXtc2pa5zQYglI4kOxA3DcYEmDaeoU+I8sQbUj2Sv5sUEy7SNzfssqYvBIDTq5aiLJ2GWts1sbD6Ksua8AB2kHlBImUWvOlpk94MFBaGgjlbBAqamUaTINOkJPMEQx1LGT+iYvDjM0CAuMOB0mLEdUhc1ooaGKlNqBFCRFqyqyXSCBf6qKZ7naSCAQEdY0jSWtEV7JdZaAWT8koPJDoHaEBcd2iqhJG5r32R01BkmL0sgGvJ+oHVAWyyxAN1AQLiPVEAgTAi1kjhq9SJrSEVYXEOaZrUVKJeHyG1gSCFQXGIcBeZi6Zu+gU9bILD3v1VRFBUtrQFGhJAn0iyUxqEjqZQWMJBdSdqGENUWDxXpIStOoktFOqckfNA7CBEmZO4KgLjIGkG03+aVziQJtslDQ25rNAEF+obAHuUuuJJMVpVVQ0A0sFIFZHKgYuLjRxrNqeyA0sqwxG10oxG3cST+SZpHLuIhUM7EkxYhBpDiDYHfcqsP1H4dUdiCFGnVBDhXsiLXEaDqiQgwtaaNaDW1UACDyuB/KEASDy/L9VQzngXMjeSoCKmASLeirDyXAjW0C9aJpaJr/dASRN/Y7pXOodM/NAmvwkDqpqEUEibHdDBOkgl+6jTWoFOiTcgik9VGkm0iCQRKEWF0R0go0N5i8FAENNadSSpqqahUSDXTJqoHG0U3kImQZFI6JCZrYkUpCghf8Ax8KBQhwJjais1AAiabSqg4EVEx0OyIImgpCqLA4ACLHZL8Y+KQZrN0Q4Ce4UkAGghAzR3FRJ9UmqdOkafUqNcSeS3ZIWPoNQbvymVFRwqBIB6qxuHHxAur9SgIBGmpN0DJMVp0RBAIEEUv6lQCdUiyUNIJEk73TxcBxJPRFTQNxulA9LXKhBbAFUZgCCDPZBW6N4Ndio4hukFm8ybppJFD2ogC0kagS6N1FBorQ3O9FIlsyRMx2TaonUDEeyGI5tiSQY3KBHatDQWkgbIEtm4vT0Rlr7GiqcQcE1o0SKCigsdYNIBA7XQdTEkb0JhVuDQWi8mNREKwzAqa0ugR2C2RJg/hO6TDwtTcQuLpY8gdlZp1mS6liOhQa1zPOlsB2IS2u0D+6ilayoGogGtQs7g46nS2JIhaxRx5ZMjVWs7LPqGIIAvM0UGZ28V6wVW4CnbYqxzA3VBMVt6pJi9IRVdDGk/JKRWwM9dkSQJg1FkpcCae0IgGgMkzFUogTX3hGs09apCe9TugkW7D80tqC20qFwidybd0C4Ft0QHSHANdHqgCZqSbEQoHFwJBHWnTokJoaz2iyAl0kEyayTcJTBaA4fVEusRBPolJmAZrt0QGlSKipugKExQSlDpLQIklCQBJgRWDsgOqJi3YIajJHQRf6oOJDhUVt3Q1mBBrt/ugPQe9DVCJmYIkXQ1AzUmfqlDvhFCghGlo0ivUhQ13M2UcSdPKBRLqdO0GgQH0oR3mFDH5SlqTSKeyUnS7oJogMlwmTzGK9EJaDyySBaZhR1JgDUbwUuoAlwrahQExV1RuHfmgQC4i3cDZLrvJnulkQTInTT06qKZxiDWISG9TJ3pWUCQZ0DSTvJQJLiJdPMYhURzoh0mLV+ijTtAhzqU/Xohq0xJoYsD9UrHlpaHEAAw4xYKB4adLTqMbwlLnUiTMwOiU4jiCeSTNtkNZgukT0/e6AmJmKXvWimrfobblKJDyWjVFQFC+ovHYSPdAzpDQWy59KNt/ZJMa51NBMNI6V+SBLmu5TAvDm/UFSpBEmSagOj6JVAkksE3vy/L0QJcZPMTEARQIl5rBmwEH6oOJxC5o+HpNQpEBpmBOoCIofqi+DV0xMiJmUAQ4GpcAJAAindLMNaRAPrIsYoop3V+KTf4jKXWYAkQKAuFbbqtxIBDTqEy4wL9B3TF0EF2obAzUQqbH09j5OphDam827qPc8t1EgHYDolaGsPMSIpJMpyXEEUcesTC7PNl1G4hc1xma7BDUWtMfD0hQSHtgA1/mKDiQOag7KqUYh+F06i2Gktv2UAOkCQa1A3UBLjqPSQTZNIoNQBHenshqBzTqDXAR3onZVsAOJN5dZU4mLpbpADh0JvBsp5hcG1gkGnWihpzDHgyAReETLnVMO2JqgQbtpuRaaKQ4NOmDW4Mg/NVUOwJ2qZj5IzLaE3gzcKt2Kfx02BinzRbUkVLqlZUQeQuAERJhTUCWkQIKUP1GHQCQQR1RGkiYo6KXCqe08w0nl6J9cidR9KUSQ4y1wk7IhzoGpstFafkixa18OFxBItaycnThgwGk7Qs51mXO6CIR0isECR0Mqi4OoSaVrWyjtIcwnqYMdo/VVQ0tm57hTXqxDp5oaoLQJ1EiaQNpUkNcQCBO1koe3dw1V/EKlEHmHTuUWGBEFppET1KhMRYauo/VICPxtg3qU45IGmD1Bn6KKA0scRHKa1/CUzdTC7S6R0OyUta4SQHBIcXS4NJqaitHILHEEy6veEGyKFsj/SFHOipIJH0RY/ZzgTM8plRRY8c0BgHSVNQNQIAoTqlDWTSnobBI/S884kU9JRTO0tPLLp+Jo/NMObSWlwBHWqqhgrEuPaENLTUNkGndEXtaQCHumu6BwwJ2ESTqSNDQaHaeimoWOJ7Aopg1okAgxWZSudBcMMAkRNbJS0n/zHNAPas/ogGnSAx0NBm1EDADSAZJi53S4YLWw18CSNJAgQpzQJNCIFLKDUHuqC0iTLfZBYHlsSaeiHUk02qlLCAJ0xuegUa00ADQXVJlBZME0mZuVACXAuLp06dIMC8zHXukAdNqdQ4KEEzR0DsCguJJF5goS1xqTBSB1paR6tqq3POqKg7chQWeYTVxAE0Mpi6vxT6BUnEFSdIpUVUw8RrmtcwtIJmWmQgcnV3AsJhPQc0V6wqmvMGSI6TdQOJtGruYVFp5piATslgTsT1FFDLnRTv3UEtiwMSUAa4yZpUiEZOqBPdLIbEUI3QmCYk9CiH1axWg/JV6gTJJpblRcXT+sX7JZiSd9lRYSCzlJJuCgZO8Ks0dqBcGnbZCSfxVJ3QWAwIi1aphAJlnxdLSgBAkxSqPxEEwDaiBprMipsprMk7FKRqcJqI6wo0ANEiNuyBtRm3rCk0ua7ISKWgbhLqg/EOiqHJ5QXAUsqw8GDhmAeiXU9wvyzaymrSRApNo7oLQX1O3zULRZ9TeClOISCGtM9Ag1rnfGbisboLfMIcAYoNz8lDLj8M93US6Q3/LAFYklNq1Ax8QG5soqQalw1RsKBENLeWImt0QSJpMdUHPkAwCUEJLRavqpqAFpER7pHOkCBB6Qm+ECZ1bEIA40GppMxZEFsQYaehRBMO6kSB1SEOIqAWkWI+iBgQwQSSALwkmCIdAF56KaR3BAsFSXXkatTdqKKvOIKgVS4jyCXggERPSFW1sNFmzWnVQtaJJBjf0QFxc10kUoVTiOHkuDaOpJAncK6RTRPr7KokayJoSIFkDPxLDVYzUJA8EUoWlK4xALjexQ1BpcCdTS4G/VQWFzxqFCDDm7QmDy2dQhpJmnZVFumBiGbV7IktwiYlxJgAURU84sAl503CTDPls5WGgm6LnaWOHLTp06IgumkhwbsVBnxJe94ayCQNSqxcPcggDcDdaHTiYvMdZDRQ71Vb2HS4EFs2lQZiLQfWl1WXGRv6UT0gVILR1VZqb7ygU0o7vfYJawDJlM8mRpMzKTUNMiDREAnqfYpCJghogdQg50D8QPZQmpuANjKCXBJj0mUJADQK1G6VzhUgmLGEocSTGoRF0DaiTDak9roO7Ejb+yUkkc0hx6mymqgEuB9qoEmlBMGDKmupg72CNXOAn3KUkkEk06IIXCKn19UJDtRgntNVC+mpp3PshqkgzUIGLhBmSCqyYJEwfopquTIIiqDnQKVih7IITqAAsOqE2MCyhqQIEgXKBdNHSUVJrAkEe/7qgHNuTUGtboE33NL7IVNRbfdAZFQKu+fuk5WVkVOwlE80107ammISkua51SReO/UoI53KdfxdIqoSNgJmf8AdK8kiKaTEwan2Q5oIaTp3gVCgkt0kD4RTuhVxqSAeg/ZQbWrab1pCGpwmji6JKAzu0i9QR2+qUt0w1xJgSDKjyDGkOrFbmbpJHKSI2reyA0iQdZmAZqmbJLiCDFACLKsSwAuIFQPhBJ9UA4NNRU3ht06Dg1EgNBoBF+hUOJyzud0gc4A7ginr+nqgC2RUib/ANPRRRa/lbJBrEgGqJDiWAwIEkEWOyUPLcMaxqpVopP90DyggmlqX9VQxfJjSTNSTYjolLqOqI26D9hBxqBXUIudkNUNE8vMQZr73ooDqbUGK2OmABsEjtLQXCGu1WiB+SGsGHHlAEtJgT3/ALKPcAC2XTqmhupUFoAdqBLdVTFSm2MwAD2n+yqJ6DT0I3MWqPVSZJkcgFYMxAsFJ2en1AaJJaZANDMKF1AGy9wNpqFWS4ky4uZ/qARY4v5pH+rlC9EcLVkkRMkxMhVuLjDj/lsgDT32/VB55tOGQTckD4VAGtOhjdLSOqBwdILzIJAN7npCOoaobRpoZvMfki12m2oOFjKrc4AAF9ie9IVJ0Zx0mhj1FyP91XqOkuHwtgiid4OkkAQCIMqoOh06RIrA/osqvaW6W6iJdU0uCiWNIoNMzcRCpw3BsCvKTA+IhTXIAGsE1ILKKi2Wgl2ozNyJQoDqDoaDQQg15LqMbqqPi/RRwJgFoA7k0KLpWw4GKQDSE/IGmD6ykBgAt0mlQaKFwInUJNqWQOHQ2GyI/wBMbIyXAkCsbjZVhwaNLXiIvZGf4nxV2mxKhFpDQRbtvTqmJa0H1nuqi8zymI3hO14ZAZzEjorA2syQWgiayFWxrXtOq5+XyTOfIgyJ5bEwiHgQGi9hQylIMMAFBBBkR+iLoEAA12HRVkuDgdJkTUWUJHK46hJ32U9qsaDZrQaSCAmHQUI2g1VWotgltxbUiX0knTNpp7IvcWAwKaepNQq3EOFhN5M0+aJkEgOoajtRIHAm4cCLzP0UVYHh1NADx+EFEmXAGwtCoqIc0t1gVpEj+qYvg/G0gDUDH0QWh9RNfRAnU1rhy80SKpQ4EQ53rQKsuAE6w2DM9UVb8RBJkiYMGgUcxl26ZH0PsqWGNRD51OJaK8o2CadJoCd5ghEWACJZXoI2Thsua8km4NZVbAGggYbgJvBTEi8E1gIp5H4oHyMpC9rnFrXbVhDzGtBLogCsDokadyNLnX6ilkF5IFHEmvRVvguBB7ekoEtG9ZkyEQSQeYEILHPGk1aZ7pSQB/bdKHDSI9EXOBrJ61sgfUKCfoQgHG8u070ugXbkTHdBpmvw9AQgJcHEQC3ebKa9Mwa/VAXJiYFzZEQwB2r5IAcTWCQ13yRY3VSNIG6hdXTaDWEAQXwMQyQgkQQKe4QcRGlzQ0n3Sy0EhzmiD0P5ogHmg+6okM5vhiOqjg0NaWkiTsSq8TDLidel0j1KHluLoDiCEQwcSTB1EXrRHzNJIJc0xuKIMGIJl4PqFCS+1O/VRTOLjRr5pNhZS+lphx9NkCYa4jmI6BNQzQg7kqhJdAcAAOxsENVJpB2VgLDevZSWxAIBJFkEbiH+UkA1ombiQKMd/wCmqWQ0weosjqgkA/VVlDi3JkDuFGvbSaDeaKCNqyoXQ40A7oG1NM8wKbVWeUCI9UhIcaNnqhpaCJEc0kxKocvMCABp7pXve4EmAPzVbmMaSdMgdkDpLTU+zlFXhzQD8LB2RDjMjS6DSBZVEUgOf3TAEyGveJvQX+SBzDpaBOoeiAdpFWwXbeiSXEiXy025JQdqaXRoh1YINKqouc4yIYaTcQFBUncRfoqdbxYNO11XiPdjSxzP4TTOKBHN0b6dfluovpow3B7Wu1mHViIpsndJc2lgVQ7HFcQsxIa06qCICGHit0Br2nVcyN0Fz41lobUiSUQSGthzgPRU/eGh3M5xb/0KHGDmu0GhkAILHvOqDURWAqi/8QbADqSdlPNIDYo6UhiHkCu0lRTYRZFHT1c4Qm1hxdBF6Kp7w6KAl4kkCVABWT2oEDE8jwRBmh3Vb3guY6BPSyJIww5jbOiawkLZIL3lpB3KgJcIDnAGCREIlzdTaUIvGyraW6uV5iYBPojR4DRLgK1VFoIFBYUIhU4mJ5eG0ugkfFNlZra0GASAbAKrXIpUkW/sopwQGFzYDiIkFHn3NZNSIoqyG7AxSKKEFrhodVxgSJhQFo0nmglzCadZt9UcUNDJa6bSCSUmJXGZrJaaiBYGlESwmhM9JKgyOaSQdcmCL3Cqfq2ApWbrS5gL28zS3SSFmoBSQCIFURS59JPLT6JHOBo2Cd5FYVhAAiYi1FWZqHST2RdKRQfVITfYFEwNzTokMhu5rZEQmDNBW5N0rjJkfsIF9+otAol19SDahCBnEEX3pNKJSaTFQhIMkRInaiXVJ7ERCKadwYPWEoMC89SKIayTUw2kiUNVzQAn0QEvIgAc3cJS4yZE02GyOqKmYS7HVU7kFAC+rQ4T1ETCAdAgN2oAFBNTFAgdjNZp6oAX8suAG9W2QESJgNmkKE6XAF1TOmaoOgOg1HpYqKaYAlAw4Cs7z+qUweV5d0qoXk3q6aKgEhwO+4myk6t9MXlITIg16VqpSRUiejqlEQAAOJYCYtaUpOhsUjZx6IGwqdMVBEygXAua3aa7oHMOcHNvuISNcxxFyW3DpkbeihJPLAkmZlVudqGp23Se6CwkEBzXSBBEWSFwnal7/soFxMaXVmNRjpb81A4B2og9T6KKYmJa6gmoFyq9TWgloJgUgUQILQXajAMyCkeNJ53Em0H+vRRDmrqGdUilKf0SDlaAAWiAfZQua4y2rtz06KcroBJ1En4bhNTLuiCTIEil9/mgAIaCAABEf0Sh4bQEiomDWB3UklxgigrXZFMXFwLhNp5an9+yBdBJBYSeUd0jmjUSJa7pt/f+yAn4gCSRvv7LKrAcOdbSNRAsP3CBeCIZqAkHlN67lLqNQyGEU0x+aA069RmLGnvI3+qaGLQyXhhdpmumfcSlL3GC2QQAC0tLfZIILdTmjSeVxrFf9kdQFS46ga0E17evVEfTGgkAPLtM1I27qoHzGtFTiQWlpmJEc3omc9zomXOceWBUlI5vktLsVo0lp8wmeSOnbsuzksbLZDqFvb8+yZ5aWSTLgLiklVtMODQ8ma7kRsriHjU0wadFT4Ljhxy1B3ISuxA3V+In4Yj9wiG6W7fDSXEx3VcudeDJpSfkqyIdhag50nT/AC9fRCRUsihhxmabe6QYYw3S4Fx1SIEkeyhLRL6Nn2B7KNel+rRQkgWlFztJMOd0mdxss3nAGAJNq2CdjwJaXAaRKBy/SDLZi8V9QiMVgA0sLRNOyQGhAI1QZG9UpOg8gGn8QgUQXa6E2rubFISCYEXpAuqRPwh0sJsfzCJcS4NHQ3/NA5eIc0DU4mbKwky2ZJIgbqhuJp1NIMih6Jw/rM7RugvbikBoMzSI3TuxXyakA9dlnBkBukmd6GigdpYTLxtTqmqtZjS4/wARnKKUpO6jcZ1BQ7tAEKsPbABof9Q3RaYZUgyKKLi04uJOoAA+qgxSAIDuxMQqXEAEy0xaaeyPK74BqcQrpi1uK2PgcJ7GijsWGEaeYDrMJAdUFwikUQEF5INe4UMkXea1pABdMVk0U85rSSIEXJKE15XS0WpRB5OoElrWz/Lsgc4lduY2m+yBdEtJoatNo7JC0NEtAqdmpMU6QBoaHC0DdPSxr1hhoIfYjsq2MaWmWxJoQO6pwyHNlx3iagpmuaKAmo2KKucSwiSB0oq2Pk6nAydjsqnEE6XCCb7UTOAM6pJF6wiLjPWQbwrGENF6LISKANJvMnZBzyzkw2tc91BJ+vsgvLw5xAlwbGuBMnYfr8lYHkigMHdZGPaxoYC4ukGpAkzU+qv1B0aZEbgdUUzXOcRAAqiHGTJIPcqoENdQ1NyAnc8iSKb3mAgm5LhqNDQndNb4m0VQxLERW01UEQA4z2QOZeDUt95MJmAw2JcLVqqy4yQI0zTupLWmHOkDp+SQWmfMcDaB6BRxBcOYED8/2VU0jWSHESYH6JTiCzTLopRUWscNTjWbdIQ1AucPQSkwiSBrAkzdTWW4rptpEdiJsoLGOIo6ZB3N+6OqYg3Sh5cOaKWlAu03IE1gKoJO8jsIRMgS3cyaqouINHaBWepRc8tHLt/oRVjpFoJN0C8NOk0gUMwq/MMF0/olDi5oL7H3QWayTe49U2sA8p0z1MqgNk8pM7zJCaoaNTA4boLHYwNHz3NJVbHtbJJqepCLjAIECeyGG+B8QqZmJlEWhzCCG37bIOeASC34v9MpA4kntfZEmRR3a6ogZhz+GKCLKDDZENDWkbQg41AdFeqIDQeQCu8UQWa2wBEegUJkS7beFS6AdJAJJlQtAmQb0qhi0uNQAY9UIBgkkWsqzpJJJcDSOYpgGk6Q407oLg74pJI2hSXVNZVJxIkAOMz+HZMC8kAFoG9DdFWF0mYhsbuSlwipio3Sgl5IdDoGxSvcWCWtGo0gOr/dENiYst0Ma44hFJH1KjWgNa3laBfr3MqkN0GSXeZuZonc8fjMIGxGs5WkDncBJE0uforAZgkb9Fnq/GaWu1aWk3pJpb2V0uA+KhvVQEvcAAXVPUJTMCQCVGQCNLhAt6lAS4STPQFVReGmSQwA2oqXsaSCR2ACajOUEA36kJdYMFxMCvooFDWt0gFwG8GijiBqhzgZ3SuOkNg8wmJCLdTnTqE9woK5cYJdqjrFkdTnA1aW+iYxIB2UdhurSnQi6BQKnUG1qQD9EWuiWwD2BVTpIkxS8bd1NJc7lNYsoLC4yYwyN56IE6DQHVN4QDXSK83UqOBIIDvU9EEZjNJAc7SJVrcfDDo1UECAqmuiObY0AhOGEmjRDtz0CNI/E/iseAC3VExaQR/RWPMidOkketVRmGMOGQ1rSW1gDopGEBqDI9HGnZQSoqGxDYq0QVmxQ8l0MMisDcrQ7BwzpEYjBFw4n81S/Tq+N8WtKIyunWIkgi/T9yq3EhpgAG91Zi4ZbTVJ2BbBVLgbjTBG1wiEc8wJpImCkOmdQqfVEkjTMAdiqnOirffv7IIXgQIp6IB1BAgHZAuIgHftKTU2DabiiKZ1hqgQlO0OqKWogXddvzQ1F0zQdzdAZ3MEnoEHOIDgTLZ9VK35SkJkQ03NY/JFE4oBAIqaiR80pdBjc2MJS8FuqlDaO6Gqrh1FReigsnU6dz9O6UGNiYJk/qq3EAbRNJrFVC4SZAJNhFJVDyDUmR9AgXS4km467BI5wfFaUJEwoMQtkCKBQRzg0iBJp3ROII1AyLtjsqy8NmfkawlcY20w2tNkQ0yAXSakmFA6SA2QQRdISNUAAJDFYBEyD6IqzWSZk6a12Qc6PxT/ANNQVWebSSBQjmJJJKBxA1mqWmZNNlIHcTaHP7WiUrX1JsdX5eiVz2yTDTAlxM0jp80sy4AwIMbBNQwodqHcybKEgHU2ab9K1S6qNBEuJoDv/ZAOJAIIgTH9kBBBeCY11mlh/dA6eaC4GaTuJiiU4rmiHlpg81Ck1aiAW1rGkfREW4mIGH+IHNFCCTbcJS9wbiNcS4gaotQf7pWuc7ScNw1AbpCBLWYmgS0tIm4F09KtdiFrgA10wSYCQE8pAHmOgWr+6pRSXSAXDT27JS9wBltrybn02RN7PALYklzHRpiEfhDnnmiohu46H0VYfMQA8g1ESlBAbEBzyJn177eihFkhrGaiBMaZBv6oBwqcV5cWtAAoT6x0QmoLjDSNwgHElgc0buM3/JT2vpA8DlL20EE6q/JRrgNTi8hptJmAg95IBmHEiKVPb/ZV6gwmOR2mhIJ7Qox5XH09rwCXOe5z6i8R2KjcaAwOc0umBLTCQkYlQJA+ExPqldgtYHG5Dt6wvQ5b+jsDMJ7Q1mlrpdoA+HrA2Ct16mkFwa0kxEzCojCxGai0va6dWxn0VZdh4BJxSWYR0gYhdABsQeldzRVqNWG+GkFwAtf80cTFJOphabVuq3H8M6YGzp+iQ6YcBpOiJjZQW6xqcCdIEVn5fmg51cTSWwIEdfZVtJGg8ugmtvn3TPIIDmjaRUgXQhXt/iNAMzcRQhAkOaPLOob6qOiVXiNcCA2RelhHVASRztBihM0Pqh/rU1xuTLpmY+iV+JDySSQ7o1Z24gBExQHeahRuIXukRafX1QWueNUu0h38sWKd2JABoZ7fuP7KpmLqcQNMk1p+6KDEOkwWAAkCJqizVhdBJBAANdiE2p0jVuJB1bLM/FcX3Amw1CT81AXi4aAZP7KGtZAEHE06ZuSbKGC74Q0CpgLK3EOkudMisiP2EzZDBOusOO6GtJkCAHEbmFHERVwBiKlUANEcw1EVE0hTUHuEAQKtkgQUVoOJMEkFsUkfRTWy8w0f6b0VBxRykyTvvdHXJLiZe2gBqAoasAABcxm1ZgSpMSHNv+STUC7mBBG+oghPZ+oGR71CLFphzaOEAIOw+VwaXE9ErnQRzVP7lKHS6BIEar1PyQFoeI0nVhi4dMj0KJcSWhxN90uqIAMiZkhDXqeIBHU9VFgy5jnGW6XAU3lTDc5uEwgS4NFJJ2ULhoOihiK3S+YWMhsyTFdkVY1znPdvsExeYl0xuYukHMA0cobSlUwo6He/ogYYgIh0V2FEQYe4wC40qfkEjHco1NJ00FU2sgyMMkDYgVSiOl+KNTRAaT3m39VGtdXRI07KvWdTiAQSBYCSFJAcWsdFINVBeMR7dLnNkBJ5peNPX+Y26JS4uETQXQa1pbJB1O+iotLy6lQJqhqcNUtaWi9a+ioAcCS0mAKS5E4rsEfxWkUrBQWuxXiC0NPbUR+isDnvpI00oQqG47CRDppHoicQhpJqqLZEnU5wFhApKDQYn4hvJlLqoQ0W6oBzhp0hoJAoRJ9UFn+WRWk1UNGkHqRPZIXFo5YB6pHPJMkanTtugubiEmwJm82TOxG1JGkdSqWkNgTX2KYOEyS49grAS8NNOu9VPMIFzUwJVAI1CDPaFYWsBMNGq14oiHEEjVJHZHzAIJkgVqVVykkAExSFCXTLiQBZRVjcTlkbCe0KOcQx2nYSFU5+gnUSKTUypJGGQZIA6qoscSXRpmgkqHVrw4iGy6T8lQCXP1HYWnr1QaR5jrkiglBpBJqIr3RA0ybz1sqKOEye0BMByloNOwQOJl0abCAna5xAjaEkNaDetpQAa11SbTBQOS4ySDI2AUBJI1PAHUlQgbNMzKq5ag7bWVFuqkN0mTcItdqo6O8KnUAQz5CysaaQaIGBgOI3FQCgHCAHnUQN0jnRETpg/wC6DpDZmTFo3QWedow3aQRprpb07KYezzIcRABuB/VVavMeWySBEg1BKeKuie6gsJIMzc1nZKHOdLXNBAvRQEjTvHuh5lQ58kE1VEwdLjiuIAOssAH+mP1lWV1SHQIpYqjAe9uDhnEiS0umLkklEkgVECsbIH80l1SDWgjZAPhxfpMDcFVueRJbGpsGouN1WHE6WmLTRQW+ZqLTVurciERiNgRpI2lVueXQR8Vq1nsqwXYg5rDooqzUDVvNEGAb90HvMbDsQq3NaQABDjW0QEAQ5wMmBE1KC0agzVCJeTqDS6XbXSPcXAw/TvYJHvDdIGICRQ0QO4gkEA+pN0Wu5rlrdMQa/VV6hMGB6gqB5aDIB2lBbd0mTI5QFDDGnUadboB7qHRBNheiAcKySDtpUEEucDqE6ZA9/rZF7g10sPrv6qtj4xIAcIaLjrP6pi/DcS1tHCwiNlFFzpgSRPyTFrQA0lpIMggKs47S2BiNguqBWDurGuBEzAiD3KBcSSTGjD0CYcZmew2VTyTctaAel1c7EDKTDYqSaeqyh7XuGqKAyNM+iCZhwLRqxAfafqsZFCLbLZiOwyNTWO0wBGlY8VkYha0FzXCQC5EUvpBiAFU8nSBBFU7yJMgDUPWFS8wZkUsZRUJIAI3Vbn6jsKz0lBz6OIipv3VZkfDArXloiiKAVki5JmiggOBijTQdVUTpkl8RPSEuq4J1WNwEFv8ApDYPcoEwIZSlwVVEkudMh0zqj6IuIDiT8O5k3UBLi1zWhxgVBmqjiRvpdYA1mn0VRIo8uJuAZND2FkodBGpsTub+qgs1OJkwTv2ULnPaIgSLg/VIXyRyyevRV4b26tLr2VF2tw/EB31bpS4gQBQzIImVW/E0hxa12omBAFe/dB76GNdNhXsp7FjsQaToEDpE1SuxGkhusB4BoUG/GTDpiCDbsk1UAAaGkiRPzVTTF0uI1gEEwTBpNFGPkhxc2lAHWnuVWXkMmA0gU09ekfqkq67NQ9Ke6G4tccQA6GxBPogSYJknluKVVRLXaXV/KqVzXTqBdM7mZ6gSomrg4jTpdNdJAF+qQvBkh5ADjNaj92VLtOkRNpiFC8yJcXdCAB+VVE1dLg1xeQTNTH5pS6C2PwidNqdf3CpbGp0kaxNDsd1JLhUWFw66puxa54aWnzJiIDSfYpXHzGDWeV9aGQSq2ucQJABk0mfTuozEc9sQRUkNgGK1UwixslpbqAEbXKDHgkkEAGnMZj0VGueYa9O4k1CJxGub8YIbSCYhKi6ZBc5xBN3CnslMO0AkOrpANZNVXqDwCQwut8VuymrRLnTpDhSD2MmKlRrTPcSARuLiRMqOxSJGoOcZrYJRic7SBz1k6ZSMxOYt1EXBMH9j+6ui3VJcRBpYVAEd0vmwKOmWwWkfuFXAJk6YjmgXRmCKgEbOJlRRa8nmmnciB6FHVNdTXNqTLuoVU8pbJAc41bT5dIRcXEtnVUVLqR2H9FP7Z+PqD8UaoDTJ5WnVv/sg3C1gGPjbU6zJ6VQlsEgn1NPoi4iTBbHz9V6I53pMW4cGEkmpaUC5uGGtaARGmI26d0mJpa/Uw9JDXdOyz6HOY1uow0WFP9+iJFpdiYT3Owv4mCQScLQA4OigZ/Q+xUwM7l8y1xwMU4gmHNIIc07hzXQW+6pJ5iACWH1MivdTEwnYhwy4PY9vwYjXkOHvf2MhRr226tTTDDY17oczgygAipuseXOOwBpxTmZJh5AafQxQ/RXHFjmxHaHGbt/VXTDg/C90EugHlp/eJSnDYwxoINQ4wEmHJeHB2prW8pgUoi0nEc0iHXjWqxg2Mw2LBpvZBmG6BpDYJ2BuiRiQ4OAM7gxp+qrGIHRS9ZbZRvP2vxGtLZIaC3aohKKajMa3SCBSYtKqOLIFS4A1BrMKHE5Yho2JmwUP8WRJa6GzECBEI6XNJMau4SM0ECGtcdUTRHW5snDMXA7n+iqf6Ylx0hri6RJdQ2KsLyKwb/i3WVuIS7WTGtxA9JrRWte86Wl0n8SNLXPgxqEGYuZRLzBcW9o9voqS8Na0OJJGxukAaWEUaNUAmTHzUFukNfUjSdpBTYbhLgQ1wApSCqHagQGhtDWaz/RE6mB0NBIvLt00yLyJhrmEgtjqmLQ2ml4p12+azvJDwIE7kqa2h2nSQQamUVbodSr9IEfED71RJxGCDMR1mnss2HmcHSdT5EGQDJui3Mtk+W01EWQaHl9C52oXo4zCk4rNLncobNRKznGdiHUTHRqLnlsvxNIFKCm/VRVz8zOGbuMUFvWt1AOUHmJLxqN/ZVhpGGXEHVapmE+I9rMMOLah4IAMbxKo0B7OYgit6FLqBs0ACPZVteWzqJABrUn3Kji0j4mVMHr1RVrCfN+Kke0pjiACC6sdFmc9mkFzWnTHt1Qlrq6eQGsG6iNAMmXgCTQilOiYYgGoNdU/TZUawxodpqehS6gOoDj+z1RV9mtBafSZRDnFwkhwgzeiziMSXmZNKiCrC2X6S70Mqo0B9BQGkCEvmzEQDEKp0iAACesVQL4qaHoop2uDwNTWGakqHVI5hEG25VQxDrFw49qKazqLgZdtNkF4xsRrBqqSLD+qLsWhLjUdVW3FdBa6Bt0Uc/VBEAk2FVRaMQQABLqpTjDU0fiIim39lVENJAre9Kqkucw0gk0hBtLiG1MzsUrnyREA3NbLK3GDSW6IIpB6otxQ2Q9pJm7TREamuGuRzHaTVE4wDgLOvAKoaWfia8RFYQbiAlwLYcHEDUUF+osmsuKUElv+qtxCq80CTBoNpolLyWwDSLTuhFzsSpDhVA48uAALpVeoAE4Zj2SnEjZptXZUWCgOqALxKdjS1glsm5lZvMZWZFKcqPmNDTQEHliIUGtuJW1qmiLdMVMGbrP0AMD5wiJBOqYsFReHmBJ9SDf2TB+oEVAN1mLw1xAF5FaJgQz4hJgVQq4kHSYJ99kC4A9JMeqpkgEzB6A1Q3OoyNjuguLgcTU+KCgTMxB+Iy4UWcnmk6dN41fRM0iSHGprQ/RUXOfMRArWRKHmBwiocOUg9VW5znQW6R1koF7S/cqC4P0ULTTqN1BiFrS7QQb1VLSPMhzpuYndN5hAHMQOoN0D+YSYqamnRLmMRzcHMPMN04bzT0ok8x2rlNd1RmHE4OI1zpJ0NInYuCDXOhwbHwtAMD2RfiEwBLVle8B73mJduTU9JUDjNeUdDUoq9z7VMfijolc4taSJnYKtuKC43JmEPMIJLafVQWkhsVMNuf1TB/K4C5HWxVHmwYqWx0sq/MkFpuO+yC9+I1rSIqYtcJGujUDsbwqC5xfJNBQAXUD9Ost2MSg0FwdBAgkSEpcQ0NENFTeCO6rbiaRRxt2ul81wOlz9QEWtO6C4Ph0S4gWkzPukwsUBrhWZJBcIhV+ZLhUuJM+qq1AtxMJroBcd43SjeIJgQTF5Ta2aqggSJKw+Y1xppJIrBsnw3wTIcd6lQWBzGkEgkxpcRXvCsEEks1CBWDFFkw3ksEadUyadlc1xZIFRNKVjqg0sEN06tTABEGvzTg1mADcLEcZz5c5zmilYkpg5xe04bw3qHxB+qDUQWzrBrbeCkMYWKdTGwakxWT0VLMbFwy5vKTfkM+osqMxinDAljmvbYagabGiDYTpdLmEUPKaLDju1uLy2WN3ZApaFDiOxGN5Q3STzEOuqjhPeAx7/ADGvaZAcAJndQVYpFmatI/EawVmeGgnpeevurQxzw4lr3NFhBgndUuc4PLdOkxuIARVZG8g23VTnA2Jj0UIcRQXrMUhVUBAALT2Ewinkl0t5RGyQmG0An6oF153tU0SapAJhsifRQPMyASRaTYqF1Gy01p6FVTIJLgGx9UodqMEgwI39kRY7UBQ7SI6ylMjTMDmoZS64MEAWEGn5JaDlNCBKgdzm6m1q2sIEgN5+sggzBSA8sRQnY7KXxCDFIiJMnZBNYa+syBWREHZFxLp1dKwSqtYAc4uEON6i2yLpIaCYr6VVTTNLnQ3UZDqd1HaiJAdF501VLXEh2pocaRHUIai4BoJ1lsdaeqhMM9+kaYj0FCIRc5wq0Eybh1YVZNTBAmJ37SpBaagGKgdfRTQfMZQRYitJIlKMSARpLQST3+aTVpAF4vqNf9lC54NILexVSC50j4iDWZNLxXugS0g6CHvmxiqrnRIcTXb3Qc4h8N0nSY61UFrZZhgMm8AAgmP0SmDEteRNy3TCTS0gk1hu7Y/JCRTSebSazWFA4dUkaiSYkXUMUsw1kj8/VJrIcS4Qe7okdSl1ua1rnEACtkFrXkEdJgc0TNEHO0n8RaNiZvdViQ8FrjJMHl/YSiC3STyiaovS3EM6y7SW77yqvLbq06Y5qmv6JXuJcXucS68lta3KVxcGuFgHCHF3aI/NGbNWwGlsh7tIgiTCBIOG5j9Tw4QW6voAq3aYkEkARJrB91JgSGu5zQxQj9N0jVO3U10Rik3jVfr6pBh6weeA4zqaYnog1zsJoGOXatMyDE9gEQ90NgxFgD16oZKdj4N3kGYPX+iVoD4gzpGrTBJH7690moAtbBa4ugB09DQJPMaID3DVJgFyGvqIxWEg4uFDgZbzSKb3THEwy0tdpFYIIPtWyp88CdJaAL6CYmnW6BxQ7ELueDcCzq3C9Dlf6aDjgMJo/USJDtVepVc4bWAB761k7eirxHaiQWjUT8QIkFV4jBMEmCRMGvbdNMW4mMynlloaLaZHzUBaBLIa1u7iaFVHW0TrexpMDSR9FU3W19SMUz3BtNFGsjW54A5XBzAazatx6qrGzAwxBc0tFTS1Leyre6CXHDbAINTFB2S4mKYJOC2KTBofVQ4iMxhvIdhse58Q6CYcNpHutDcy6TJa5rREE/qsjsZoEBxgGA2CBB3U1MDppQ21Aq6ljR5wbpB1AmgAoB3E/JNhSZg2qCakjt/RZBjgyCfLduNwiHBj3jD6SXTAKC84nmNIh2kOAh1P90GvMiWyTttKodOkgu1HSBISvxaOLm8sV2itlBt84eWdUk+9FH5jl1sOqRQDcmiyPdEgyD2elbihsBzG8tSAd7D9U1cbi4NbDXadIFNJG3qoHucJhp5qAgwB6rHr1t20kVmeb9wpg53Bxv8AJxMNwjSKkCe3urqSNeJihwGt2kmoJNvdE4xmmICbNk7dVQcQA6XODYuAJ/Lqkc/S4VaXTEKauNRe5sAhz+pB+aYOYHQA6tQXCfrdZQXS4aRFLGITeYaje4Dh+qumNDngOIBDWmRUH6e6rbjNxHOAdJmpH79VTrfreBGkNHwyZB6fJQYj4a2BytoO6zVjQcUlow2is1IMkItcHCSARSyyFkmS0EbnVQKxpDHAWaIJDX9roND3hpOmANqkR3RcHOAMkMa6RtJhUEwy742gCXVUc4AEOeJMGNEfkqNHmO0nVM1NDMKOecTBfhtIBc06TG8UCy6uQsa5hmwBIobp2Yzzpa4tP/d9VFXtzQJDvwvAdG7aWTtxmyA3m6RKxsdJLS06dVQ0gj93TDGB0ROGADXQABT91V0aDitIDg3mIgzt3hTDxBUm8gVNSsrMYAvc9rwHHlLht8qdUPvLR/5msCvRRWvW5xvBmaWaEwc1wAa0sMb7KgYrQ2C6pgmKiqgxwCak80CbQg1OxAIANLhTXUnU6D1Fll8yGmrRIrYmN0RjMOochECoNFUaWYji0TpHabJXO0OGphBuDMnuAs3m4WFhNDsQeYRDiK0joo/OMBbSSB+FQaS8wAXFxcd9kz2HQ0aoBG5/ULMMYhwcHchsCn8xji6TI+Eoq06nPjEc5pibDqkdIA8vEERMPbf5KtmIS6HPLROxUbmNQGkl9hAG/fogb+NH8TFaXV+HCI9IklK55kBuLiUMmn9kH4ztJjTaY1TVUjEJdqedtVLeiqL5BADziuF+3zRlsl2G5zRFOZBmIQNL3N66Qa+irxTUhoi9ZQP5mKJcQHRYg1HdOcYgw8gAipKq80SZw5t6fJA4wxILmyCYAI/ug06/iAe2lpkkpfNFSHkibAxUCFlaGPbIMONSWmyj8R8R5gdHVBoBLzsKwY3TF7AQAAGxt1WNuZbFRpigMJ2YoMlhpQyK1QaS+8gG0mapdQcXUBbNBCzHGBJgtb+d0vnBtnADtVINgc17i7SJ62hQuLhGE8MIP4jMLG3EcZImTBkm4TBmIakRMkyd0GgY+KSQ4YL9Io7zDX1onZmHOGryn2s0g1+ayyXiA47z3hQtdqEueXfJJRqOORSMQV/lk/RIcwGiCCIdEOwyCqhABkaif5pk/VNMG1Cen6ICcxhxy4knuIV7sZkgFzDvTZZg8yHEuJG1ySmaKFzmilYjqqnpo84wDDbA9VG4rn6XkQDVpLTbZY8QsJ0tEOPxUsJRaxtRqcSek2SkaS8hxcIJi2lFrzADWy7syB81j0tNA4noTKWXxGqPcKK3NcZjEMxsKBV4uLy4YEOBxG1mN5lYiXOI5pMSKSE3wwWlxc6mqh+qK0nGgcjgAbTuUGubcOtaaSk1QDqe23SyTzXtLdb2na/RBfh5hrGHmaPwhIMw3UWzqcQIpeqpOM4nQ0gGQDDr+iDnkD+E8EtpM3nug1HFLtyQNrKjzHYXNIhoqOvuqziujU6DGzh+annaWjQG022Cg1ea1oc64i/UKYZDgWwAA7bdYxjfhcNJmkAGiAxQGw2JLr7jsg2NxHENhwEiCo7SSCZ0i6xjE0tudQsERjF7gGuaSR/NZNMX6yToJPL0NQDsgHw9wGoRUaoMfVVYYgkMNDvqqSoSGlplw2M7KC7DxmyZJ2IEE/7oHG5hGny4AI0V9VUMQgw1xiKFwhK7HexjnQHaQD8UlBcD/EZi4b8QBzYiRBI7Hfum14rC/S8AbEtr+dVUx2HjYQBq6L3Sh4YAaNJtAH1RVmHiPkObiEajI5qHqITuxsUS04jSCIqyT85WZzyZEteALik1S+eXGCDym2mRKGNrnY+oNGKC3/Q0CAo/GGs6Wue4gMc9xuNqrIMwWS1pmZ5YiPRT748kB4oDWAgvDi8Fj3EwKtkw7uQocQs1AvAmNPLsqXvc/m0tqfi1X6wpqLoLnWNQabbIGxsRwc6oq6Q4Uj0qs7mvcHPImtayi86CcQTEkTqiCqziCKksuZAr7oMzWuDYe6a+wqq3PB2JEUBHSxUxcRpEscSLVN1U6pjVUW2kqKOsATqqK0N1WXf1MJXk/wAo1G5g1Kqc8gF2mIFXA2U1Pi3W6NQknatJSF+l5aXEvIkDVUbBI1+onWOaJGkwmD6QA0bKnsweWmHkUuP6pWubqgms7Vuqi/TtUdRQwh5kknzK0IrfqVkOXQ0jUSQLR3/2Shzhq1aQI6ySVUcWQWw0iwJqR/T1RDy7SBpuaD6lVBLgIBMzRxA+SYYjZaa8piXFJrdLA/U5wMmkV/VA4gF4B9a/L9FNMN5uuSNxcIEgOIY25kwY9u6RskEt0hvQiDVQmJFHBooI/VCdmGJB3i0m4+tEPMcHtDebaDVIcUCmoNdSNXZI5w07kE7X9UwWulxIqQRBaaAV/RK5wrqMGJG/eVU3EBBGG6GF0GDFR2Q1S98ODdVSeiYhpAaeZwkAmkKyatZql0Re5kbyq/OBhzakDZVO0l0ktJECHAyOqhdWULXgsGk1ImSDsgXFh5QIgUI2ncqvzJOljpgB0B1IQLplrpEmrXOqa39ExmrdRh1msFxuPYoB3clpoKQQNkoOquhp0mjoEE96pGvAaA0aWiHNG4+qY19WuLZAbEEz1NBsEI/CHAA1OonlqqtYMgHUT1kWug46RT43bETRFO8h7acon2P9AgXTha21cDqgGv1S6S4ulx1A0pZLLRIEMuINFWZ7XB+nEkOB6EkiO3zSanRLo1GTUn1skLw4NmCCImTbp7JXOAoHOaYkFoMrLdM17WkhpcGkmnQ/mi4yDBEmgmVWXjFEkudqHMTiH6qHELmgAkCb9FdTOjkiHzEgWrTrX36qai2DhkkTsTbYSqC4EmIqY5RBBS+YAG1BExPpt2sVm1On0jDzurD/AIoaYPLSBa/0KH3jDA5GGQLbHv2XJ846pozSWnmcCLWvFlZ5rgIPwgdaHoZ/d13Mb35lrxpfAbHy91d95a55Lnh2qLDlB6ArkDHfpAeXTaSKQO/+ynmhpbU6hJALa+/QK6nTpHGFRia8MNtqdNU/nuDAASxx5bwuWMR+HAIcXiRLnRqp+6pPNc4EEmAIkGxhB0fOaGSXaXCxiRHVRuZPwgBzaSAIJ9dlzzi0vpMCTsIuERj0aS42nSRv2UpO/ToDNsfXS2jaatyozFDzpbomagzYH6rn+dJLQC7SRqkxAKbzZ5dIEyCSDKaracTW0loaZBI541HqldiYbgZLyIpFJn/ZYG4p8sBo1kSLhEYsM1ukkN5W0kmbdOiGbG3ExGYYkMnDiBtEbmURiA4ZADaiuozQrD5jwS1xc5zSNJ6byet0HYjtzEtBI0+qJjeMRwc6SBqdJJdv2+iGDj0eZGm+kgCfZYfM5dQdqLh03/OiLsSCA40IggCnb3U1cdHzal51k7SAFPPLoONQgyDMm1lz/MIh7HEgtEOJTtxC2CSARUHdFxubihwJbNqQbgpTjCQXtIFiWmKrEcbQQ0Fuo2EXPyRGKXBkGBUVNpJ/VBtGYZqbDy09HSO3unGaw3S3Q0tNDH9Oi5zsSIDrzFiSf3Cgx5kPBGqgOkUhXTp0Dit0yXQAIoYPZO17Q4ku1E3H9Cuc3GkyQBHK4wJO/wCqIeHNBOnVYkOgfNQx0BjNa6C1zZEjvRM3MNidRPqFzjiHSYjVt6IjFdE6uZ1SQFTI3HHOphApWwuo/E1yJb2NisGuYcBq1W6/JA4kkAxO9ZlQb/NLwRMtFKnb3TtzDtDNTdRAAdXp+wua7F1RXURWh2Q82GC2qNqhCOkcw0kkthkmdNIrcpXYzP4bGktgy4E36eqwaxSa3iaVhKMQkV0iaGiq4633kEV5WxMzukditdqFZ26Bc7zQKwO5jb1T+bpBgUj5nooY2+Zhk0aCR1NJ6qNeG/E3STallh80S1skRaVDjN6E7ARdFxtGK1pgDTP+pQYp06RBE15AsQxuWrwBEUsoXlxFd6USI6DccsAgML6oPzJ1B0RSlbLD5hJgn6JWvIHMOY3OxQxvOea01aaVghQZsOdBAmZisLB5pBsBB3qh55AEkAaTc0QdE5nDBAqSOYugGalA5ljnCcQtiIHX16Lnl7XRWO8BTWIue4mFUxsOYwyTJgigkzKduaLHEktIIinSf7LBr6HlJNYQGMZMwXdB0UXHTObBFAXEzIO3oocyCW8obBkEblcw4sma2iJt80HYodBDnGvSqumOmM0BOj+ITFzAVYx+Z+tpqTY3WAYs7Eg1JA3UOI5sgglp2KaY6JzBBo1s2FSSEDihwbDi4ddMLneY4NdADgaiTH+yhxSCKSDIBB/RQdI4wJ61mSaqoYrXg0b2IKw+YWAtBcCTSt0zsX4bQDQzP5oN4x3NGlj5pNUjsYOPNAjpVYTjiYDjBR85xFZA2gT8kG77wwnnaZFSf0TuzYcSBLfUyucHl3Mb3BUbiarCaWCo6HnAiJAmhp1TOzFxqqBA79FzfN3cTegAsh5sm8eouhjpNzukfxJJM12SffCYJp01BYfO5xLpF6IB5JJkkz6po6H3qSIf7gwU/wB61NqZIoCuYcSehPYCqHmzQAgG0bIY6ZzVCX6XPMGQp94k8pImltguYcSXAanAmlpU8wkEGABBBQyN7s3MGS4tPxbK0ZktJgSTve3ZcwYkkg0N7z+SbzQIl0HfuhjpNzUEuBqfaFGZosLbkgfDMrnHEIO0d0jcSh0gdRKJjqPzdQSAHdVW7HLywmA3VtdYPMgwAOp/ql1zP+o37qK6Rx2tkNoPWpKX7wagBt5tfquacUTuZknsiccT1kyR0VI2HGDcTnPL0AR+8aXEixAj6zRYxibXHrKQ4sPDjvINx+91FdF2Yg1MEA7Wnr8lXrYHAuih+ayB87GQIMJfM0mKRJvQlEbnZmIg6aW6pRjaXEuIOo7hZNRGkaSG2khDWNIY4WpQIN4zXluaS0AWADSo7GxC2JAitTJWHzwGXgzFrJfNjSXGXC89EG8Y9JBt1qEW5nSXHlO9Fz9dCGyBvKnmnUYA+VkVs+8OYOVrZIuQSgcwCJda0RSPZY/MBcG0Ljt17oeZzyK+xvug2txGtk2vRFuY0gEkSDIMb9FgdiamSD/v6INxC/4nE9kRrdmtPK8gSLmkdYUbmGASGFzpmbavcrC17cOYaG2kafkj58nl5C20VCiuicw5xljtEGQRdVnMxXWTWabLCcaRQgCZECIQGNBoXEVoOvZVG52Zo/SNLSbF01/qqmY00dL36eVx/DCxvzB0l0AE10kWCU4+ismAaEu+n0U0aPN1cx1VJ3t+4S+YXOEmSaGBIWc4xwxaAPSiTXqBkkiKz/VEXanOmpvAgWN1W4ahWpmR+7blIHaKEiDI1f2Sl40/E4gkfEbKC18wdIcATI7ol9TLu9NqUVElsgNIJNZETslJc2ARuRE7dVSLTiUuSBc9EjnlxcANIE13KTWQLOA3F42v9UofQRFaTN1MFgxBqBESW1p+qXzCRvFgCAA3+qrDpJLiKOiRFB+iTW0mXCNUkEG9FL7FusPIdhjmB3G6hdGqAQS2KwqnO0gaQ6YAET9Eodqs0Bs3SYL3Yuqa0Jt+7JS5rXEAOJvZVHELHai6JJ0mpj+qV7yfnAgEk+6CwYga5wIqLTMJA/k1nlIB0gnbv3hV/C4yS80BBNu6V2J8MyHExAr9AombFwcKFw0ggCphBzmkNFQ0RNdlQ0wNLHAQYmsGR1Qc8BtpB61J+StTOlwxWNAAIaAQOwlNqILy7Vymhj5VVWsVa4yNIJ6HaISB5katVztNR0SrP7WvLWjU9szEy6/9kWv6BthW6pkgA0DfevZK55aYiQySeWJMKezMWEABznGGybik9VNdiwN8wcprfrEqsYwww0kAECdUWUe88o1Udc2MbiVMMOSAA1kubMhrY5h6ohwAJDWgkyBFVW/HcW6o5RUumY9ErsYgODTzCskStbVkxbiPLRLgx1qE/oEvxgjTLZNSSJKqOKJcGHS4mwBmR/ZO15jTPMCSSbjsp7TNqE7AAmRoHWO6jXtEmBJ+AA7bnr7JWYh/CSSDURYpPOdq0tIIBgkU/W/dRfS04hgl4huqDzUPtG90Digw4mW7DYi0wqvhGoQZnUQ6AJ/VR7uUhx5R0AuP90Xs7nWLQ0R26oNxMMte2A2YvHz+Y3QJJOkGvQO/dVSAC18CrzBBdU7x3UqXJ29piP0tGuumIIEGa7+iAJlheZkXi39VFF1hf0jngloiQ8iRsfVI3Ea7U1gLi1pfzUsJiiii0x5QRiuLsPSBzEyD6BM97YbrEiRSB0UUU0nelw8ZxbiOBo24I7bI6iQ4i4MGSabU+aiiafBY2KtMFp5Slc++kluokckt/I+vzUUQ/wDIDMhpxNLSCCTANN/l8KbzIc4XaAJnadgoosytXqC7FLQYaA1p0gNMR0/JQHU5usAAkAAVgep6yootMy7Ua+XsJkwXdq+yLMSA2roJEk1MGvVRRG/SF2olp1AAhph0TKjX3LZk7G23yUUWfpThxABIaDBIN7kje1khxS52mSCIr0/YUUWkzopxi55ZJ5TIPtdP5/KHxUu0gmsKKIzqNgnQBBa6Jkmt/wAkwcS2h0ikUBUUUahziUO7pIqEG4kPDQG6g2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        <text></text>
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  </question>

<!-- question: 1450  -->
  <question type="multichoice">
    <name>
      <text>Leva 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale delle tre pinze è una leva di secondo genere potenza-resistenza-fulcro<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/b/b0/Pinza_Leva_Primo_Genere.jpg" alt="pinza da elettricista" class="img-responsive atto_image_button_middle" width="240" height="180"><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/96/Pinza_Crimpatrice_Leva_Secondo_Genere.jpg" alt="crimpatrice" class="img-responsive atto_image_button_middle" width="240" height="180"><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Pinza%20per%20il%20ghiaccio.jpg" alt="pinza ghiaccio" class="atto_image_button_middle" width="240" height="160"><br></p>]]></text>
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        <text></text>
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    </answer>
  </question>

<!-- question: 1451  -->
  <question type="multichoice">
    <name>
      <text>Leva 7</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale delle tre pinze è una leva di terzo genere fulcro-potenza-resistenza<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/b/b0/Pinza_Leva_Primo_Genere.jpg" alt="pinza da elettricista" class="img-responsive atto_image_button_middle" width="240" height="180"><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/96/Pinza_Crimpatrice_Leva_Secondo_Genere.jpg" alt="crimpatrice" class="img-responsive atto_image_button_middle" width="240" height="180"><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Pinza%20per%20il%20ghiaccio.jpg" alt="pinza ghiaccio" class="atto_image_button_middle" width="240" height="160"><br></p>]]></text>
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        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210442  -->
  <question type="multichoice">
    <name>
      <text>Leva 8</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Quale delle tre pinze è una leva sempre vantaggiosa?<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/b/b0/Pinza_Leva_Primo_Genere.jpg" alt="pinza da elettricista" class="img-responsive atto_image_button_middle" width="240" height="180"><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/96/Pinza_Crimpatrice_Leva_Secondo_Genere.jpg" alt="crimpatrice" class="img-responsive atto_image_button_middle" width="240" height="180"><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p><img src="@@PLUGINFILE@@/Pinza%20per%20il%20ghiaccio.jpg" alt="pinza ghiaccio" class="atto_image_button_middle" width="240" height="160"><br></p>]]></text>
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</file>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 999  -->
  <question type="truefalse">
    <name>
      <text>Leva 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/96/Pinza_Crimpatrice_Leva_Secondo_Genere.jpg" alt="pinza crimpatrice" class="img-responsive atto_image_button_text-bottom" width="480" height="360"><br></p><p>La leva di secondo genere&nbsp; è sempre vantaggiosa<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1000  -->
  <question type="truefalse">
    <name>
      <text>Leva 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/96/Pinza_Crimpatrice_Leva_Secondo_Genere.jpg" alt="pinza crimpatrice" class="img-responsive atto_image_button_text-bottom" width="480" height="360"><br></p><p>La leva di secondo genere&nbsp; non è mai vantaggiosa<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Misura/Misure definizioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 391  -->
  <question type="multichoice">
    <name>
      <text>Litro nel SI</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un litro corrisponde ad un ?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Decimetro cubo: dm³<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Metro cubo: m³<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Un decimo di metro cubo: 0,1 m³<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 393  -->
  <question type="multichoice">
    <name>
      <text>Lunghezza udm</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'unità di misura della lunghezza è ?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>il metro: m<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il kilometro: km<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il termometro: tm<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>ContaciGEOCap1</text>
</tag>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 396  -->
  <question type="multichoice">
    <name>
      <text>Massa</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'unità di misura della massa è ?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[Il kilogrammo: kg<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[Il decagrammo: dg<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[Il Newton: N<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>ContaciGEOCap1</text>
</tag>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 882  -->
  <question type="multichoice">
    <name>
      <text>Superficie udm</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'unità di misura della superficie è ?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>il metro quadrato: m²<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il palmo: pm<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il decimetro quadrato: dm²<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>contaciGEO2Cap1</text>
</tag>
    </tags>
  </question>

<!-- question: 911  -->
  <question type="multichoice">
    <name>
      <text>Volume udm</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'unità di misura del volume è ?<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>il metro cubo: m³<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il palmone: pm³<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Il centimetro cubo: cc<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <tags>
      <tag><text>SCIFocusACap1</text>
</tag>
    </tags>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Luce e colore/Natura della luce</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 392  -->
  <question type="multichoice">
    <name>
      <text>Luce composizione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[La luce<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>è un'onda elettromagnetica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>una modificazione fisica dell'ossigeno <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un improvviso cambio di temperatura<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 462  -->
  <question type="multichoice">
    <name>
      <text>Passaggio della luce</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[Le sostanze attraverso le quali è possibile vedere nitidamente si dicono <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>trasparenti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>traslucide<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>opache<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 463  -->
  <question type="multichoice">
    <name>
      <text>Passaggio della luce 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[I corpi che impediscono totalmente la visione sono <br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>trasparenti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>traslucidi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>opachi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 464  -->
  <question type="multichoice">
    <name>
      <text>Passaggio della luce 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[I corpi che lasciano passare la luce ma non permettono una visione chiara sono<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>trasparenti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>traslucidi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>opachi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 899  -->
  <question type="multichoice">
    <name>
      <text>Vedere di notte</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/6/63/Termografia_manzoni.jpg" alt="termografia" class="img-responsive atto_image_button_text-bottom" width="300" height="303"><br></p><p>La visione notturna è resa possibile<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>dai raggi infrarossi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dai raggi ultravioletti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>da lenti molto forti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 952  -->
  <question type="truefalse">
    <name>
      <text>Corpi in cielo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La Luna emette luce propria<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 953  -->
  <question type="truefalse">
    <name>
      <text>Corpi in cielo 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La Luna è un corpo illuminato<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 954  -->
  <question type="truefalse">
    <name>
      <text>Corpi in cielo 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il Sole è una sorgente luminosa<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 955  -->
  <question type="truefalse">
    <name>
      <text>Corpi in cielo 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il Sole è un corpo illuminato<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 956  -->
  <question type="truefalse">
    <name>
      <text>Corpi in cielo 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le stelle sono corpi illuminati dal Sole<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 988  -->
  <question type="truefalse">
    <name>
      <text>Infrarossi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/2/22/Spettro_elettromagnetico_semplice.png" alt="spettro luce" class="img-responsive atto_image_button_text-bottom" width="601" height="338"><br></p><p>I raggi infrarossi hanno lunghezze d'onda più lunghe di quelle della luce visibile<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 989  -->
  <question type="truefalse">
    <name>
      <text>Infrarossi 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/2/22/Spettro_elettromagnetico_semplice.png" alt="spettro luce" class="img-responsive atto_image_button_text-bottom" width="601" height="338"><br></p><p>I raggi infrarossi hanno lunghezze d'onda più corte di quelle della luce visibile<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1065  -->
  <question type="truefalse">
    <name>
      <text>Ultravioletti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/2/22/Spettro_elettromagnetico_semplice.png" alt="spettro luce" class="img-responsive atto_image_button_text-bottom" width="601" height="338"><br></p><p>I raggi ultravioletti hanno lunghezze d'onda più corte di quelle della luce visibile<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1066  -->
  <question type="truefalse">
    <name>
      <text>Ultravioletti (copia)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/2/22/Spettro_elettromagnetico_semplice.png" alt="spettro luce" class="img-responsive atto_image_button_text-bottom" width="601" height="338"><br></p><p>I raggi ultravioletti hanno lunghezze d'onda più lunghe di quelle della luce visibile<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Geometria/Triangoli/Altezze, mediane, bisettrici e assi nel triangolo</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 397  -->
  <question type="multichoice">
    <name>
      <text>Mediane, altezze, assi e bisettrici 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/5/51/Inradius.svg/513px-Inradius.svg.png" alt="bisettrici triangolo" width="400" height="202" class="img-responsive atto_image_button_text-bottom"><br></p><p>Le bisettrici di un triangolo</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>tagliano gli angoli a metà</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>collegano il punto medio dei lati con i vertici opposti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>passano perpendicolarmente nel punto medio dei lati</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>passano dai vertici perpendicolari ai lati opposti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 398  -->
  <question type="multichoice">
    <name>
      <text>Mediane, altezze, assi e bisettrici 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/5/5b/Circocentro.jpg" alt="assi triangolo" width="400" height="470" class="img-responsive atto_image_button_text-bottom"><br></p><p>Gli assi di un triangolo</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>tagliano gli angoli a metà</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>collegano il punto medio dei lati con i vertici opposti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>passano perpendicolarmente nel punto medio dei lati</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>passano dai vertici perpendicolari ai lati opposti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210876  -->
  <question type="multichoice">
    <name>
      <text>Mediane, altezze, assi e bisettrici 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/7/73/SimetriasDelTri%C3%A1nguloEquil%C3%A1tero.svg/203px-SimetriasDelTri%C3%A1nguloEquil%C3%A1tero.svg.png" alt="baricentro" class="img-responsive atto_image_button_text-bottom" width="300" height="287"><br></p><p>Nel triangolo equilatero <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>altezze, mediane, bisettrici e assi coincidono<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si trovano le altezze<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[gli assi dei lati coincidono cone le mediane ma non con le bisettrici<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>le mediane non si incontrano nel baricentro<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 399  -->
  <question type="multichoice">
    <name>
      <text>Mediane, altezze, assi e bisettrici. 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/a4/Ortocenter_and_circumcircle.svg/318px-Ortocenter_and_circumcircle.svg.png" alt="ortocentro" width="400" height="400" class="img-responsive atto_image_button_text-bottom"><br></p><p>Le altezze di un triangolo</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>tagliano gli angoli a metà</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>collegano il punto medio dei lati con i vertici opposti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>passano perpendicolarmente nel punto medio dei lati</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>passano dai vertici perpendicolari ai lati opposti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 400  -->
  <question type="multichoice">
    <name>
      <text>Mediane, altezze, assi e bisettrici. 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/b/b7/Mediane.JPG" alt="baricentro" width="400" height="266" class="img-responsive atto_image_button_text-bottom"><br></p><p>Le mediane di un triangolo</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>tagliano gli angoli a metà</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>collegano il punto medio dei lati con i vertici opposti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>passano perpendicolarmente nel punto medio dei lati</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>passano dai vertici perpendicolari ai lati opposti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210875  -->
  <question type="multichoice">
    <name>
      <text>Mediane, altezze, assi e bisettrici. 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/c/c7/Lukion_taulukot_%281993%29-page027-image01.png" alt="baricentro" class="img-responsive atto_image_button_text-bottom" width="329" height="241"><br></p><p>In un triangolo rettangolo due altezze...<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>coincidono con i lati adiacenti all'angolo retto<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non si possono trovare<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[passano per il punto medio del lato opposto all'angolo retto<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>cadono fuori dai lati adiacenti all'angolo retto<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210877  -->
  <question type="truefalse">
    <name>
      <text>Altezze, mediane, bisettrici e assi 7</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Isosceles-triangle-more.svg/844px-Isosceles-triangle-more.svg.png" alt="triangolo isoscele" class="img-responsive atto_image_button_text-bottom" width="300" height="320"></p><p>In un triangolo isoscele altezze, mediane, bisettrici ed assi rispetto a qualsiasi lato coincidono tutti.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210878  -->
  <question type="truefalse">
    <name>
      <text>Altezze, mediane, bisettrici e assi 8</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Isosceles-triangle-more.svg/844px-Isosceles-triangle-more.svg.png" alt="triangolo isoscele" class="img-responsive atto_image_button_text-bottom" width="300" height="320"></p><p>In un triangolo isoscele l'altezza, la mediana,&nbsp;&nbsp;l'asse rispetto alla base&nbsp;e la bisettrice dell'angolo al vertice&nbsp; coincidono.<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Stati della materia/Sostanze-Miscugli - Elementi</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 235  -->
  <question type="multichoice">
    <name>
      <text>Atomi nella materia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/93/Cubical_atom_3.svg/181px-Cubical_atom_3.svg.png" alt="atomi" width="181" height="127" class="img-responsive atto_image_button_text-bottom"><br></p>Un insieme di atomi tutti uguali forma&nbsp;]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>un elemento</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>una sostanza composta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un miscuglio omogeneo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 401  -->
  <question type="multichoice">
    <name>
      <text>Miscuglio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/e/ea/MinestroneSoup.jpg" alt="minestrone" width="400" height="325" class="img-responsive atto_image_button_text-bottom"><br></p><p>Il minestrone è un&nbsp;&nbsp;<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>miscuglio eterogeneo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>miscuglio omogeneo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>elemento molecolare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 402  -->
  <question type="multichoice">
    <name>
      <text>Miscuglio 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d1/2010_mavericks_competition_edit1.jpg/1024px-2010_mavericks_competition_edit1.jpg" alt="mare" width="399" height="264" class="img-responsive atto_image_button_text-bottom"><br></p><p>L'acqua di mare è un esempio di&nbsp;&nbsp;<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>soluzione, miscuglio omogeneo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>miscuglio eterogeneo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>sostanza composta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 857  -->
  <question type="multichoice">
    <name>
      <text>Sostanza - Miscuglio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/8/83/Bodega_Mercader_Quesada%2C_D.O.Bullas.jpg" alt="Vino" class="img-responsive atto_image_button_text-bottom" width="200" height="278"></p><p>Il vino è un esempio di ...<br></p>]]></text>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Miscuglio omogeneo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sostanza semplice<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sostanza composta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 858  -->
  <question type="multichoice">
    <name>
      <text>Sostanza - Miscuglio 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/3b/Granito.jpg/1024px-Granito.jpg" alt="Granito" class="img-responsive atto_image_button_text-bottom" width="200" height="161"><br></p><p>Il granito è un esempio di ...<br></p>]]></text>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Miscuglio eterogeneo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sostanza semplice<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Miscuglio omogeneo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 859  -->
  <question type="multichoice">
    <name>
      <text>Sostanza - Miscuglio 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/1/1c/Spada_in_ferro.jpg/1024px-Spada_in_ferro.jpg" alt="Ferro" class="atto_image_button_text-bottom" width="199" height="133"><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/b/b9/Electron_shell_026_Iron.svg/744px-Electron_shell_026_Iron.svg.png" alt="Ferro" class="img-responsive atto_image_button_text-bottom" width="124" height="133"></p><p>Il ferro è un esempio di ...<br></p>]]></text>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Elemento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sostanza composta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Miscuglio omogeneo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 860  -->
  <question type="multichoice">
    <name>
      <text>Sostanze e miscugli</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/LaundrydetergentGlow.jpg/1024px-LaundrydetergentGlow.jpg" alt="detersivo" width="400" height="200" class="img-responsive atto_image_button_text-bottom"><br></p>Diverse sostanze mescolate tra loro generano&nbsp;]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>un miscuglio</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>una sostanza composta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un elemento</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 861  -->
  <question type="multichoice">
    <name>
      <text>Sostanze e miscugli 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/4/42/Anidride_carbonica_modello.png" alt="co2" width="265" height="120" class="img-responsive atto_image_button_text-bottom"><br></p>L'anidride carbonica è&nbsp;]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>una sostanza composta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>una sostanza semplice</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un elemento</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 862  -->
  <question type="multichoice">
    <name>
      <text>Sostanze e miscugli 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/6/64/Motif_nacl.jpg" alt="nacl" width="242" height="246" class="img-responsive atto_image_button_text-bottom"><br></p>Il sale da cucina è]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>una sostanza composta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>una sostanza semplice</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un elemento</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 863  -->
  <question type="multichoice">
    <name>
      <text>Sostanze e molecole</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/5/5c/Interazioni_dipolari_acqua.png" alt="molecole" width="400" height="399" class="img-responsive atto_image_button_text-bottom"><br></p>Un insieme di molecole uguali formate da atomi diversi è&nbsp;]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>una sostanza composta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un elemento</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un miscuglio eterogeneo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Moliplicazioni di frazioni</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Moliplicazioni di frazioni/RM-Moltiplicazioni con semplificazione facile</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 404  -->
  <question type="multichoice">
    <name>
      <text>Moltipicazione frazioni con semplificazione facile 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$ \frac{10}{7} \cdot \frac{3}{5} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ \frac{6}{7} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{10}{7} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp;&nbsp; \frac{6 }{35} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{ 13}{12} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 405  -->
  <question type="multichoice">
    <name>
      <text>Moltipicazione frazioni con semplificazione facile 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$ \frac{2}{7} \cdot \frac{5}{6} = $$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$ \frac{5}{21} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{10}{7} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp;&nbsp; \frac{5 }{42} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{7}{13} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Frazioni/Frazioni operazioni/RM-Moliplicazioni di frazioni/RM-Moltiplicazione di frazioni solo regola</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 406  -->
  <question type="multichoice">
    <name>
      <text>Moltipicazione intero frazione 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$ 2 \cdot \frac{3}{5} = ?$$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$&nbsp;&nbsp; \frac{3}{5}&nbsp; + \frac{3}{5} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp;&nbsp; \frac{2 \cdot 3}{2 \cdot 5} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp;&nbsp; \frac{6 }{10} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ \frac{ 3}{10} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 407  -->
  <question type="multichoice">
    <name>
      <text>Moltipicazione intero frazione semplice 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[$$ 3 \cdot \frac{1}{4} \&nbsp; = ?$$<br>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$&nbsp;&nbsp; \frac{3}{4}&nbsp; $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp;&nbsp; \frac{3}{12} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$&nbsp;&nbsp; \frac{3}{7} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$ 3 $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 416  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione definizione semplice 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{2}{3} \cdot \frac{4}{5} \ = ? $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{8}{15} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{8}{3} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{2}{15} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{22}{15} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 417  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione definizione semplice 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{3}{2} \cdot \frac{5}{4} \ = ?$$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{15}{8} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{3}{8} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{15}{4} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{11}{8} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 418  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione definizione semplice 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$\frac{3}{5} \cdot \frac{5}{4} \ = $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$\frac{3}{4} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{3}{20} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{3}{9} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$\frac{8}{9} $$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Numeri Decimali/Moltiplicazioni con fattori decimali</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 408  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicare fattori decimali</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>0,3 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot"></span>
<span data-decimal="8226" data-entity="&amp;#8226;" data-id="46424" title="Bullet">• 0,2 =</span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,06<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,006<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 409  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicare fattori decimali 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>0,3 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot"></span>
<span data-decimal="8226" data-entity="&amp;#8226;" data-id="46424" title="Bullet">• 2 =</span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,06<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 410  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicare fattori decimali 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>0,03 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot"></span>
<span data-decimal="8226" data-entity="&amp;#8226;" data-id="46424" title="Bullet">• 2 =</span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,06<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,6<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,006<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 411  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicare fattori decimali 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>0,5 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot"></span>
<span data-decimal="8226" data-entity="&amp;#8226;" data-id="46424" title="Bullet">• 1,4 = </span><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>0,7<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3,5<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,07<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 412  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicare fattori decimali 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>0,5 <span data-decimal="183" data-entity="&amp;middot;" data-id="45166" title="Middle Dot"></span>
<span data-decimal="8226" data-entity="&amp;#8226;" data-id="46424" title="Bullet">• 14 = </span><br></p>]]></text>
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    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>7<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>3,5<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>0,7<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Potenze/Algebra delle potenze/RM-Applicare moltiplicazione potenze con lettere 1 punto</text>
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    <info format="moodle_auto_format">
      <text></text>
    </info>
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<!-- question: 424  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione potenze lettere 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$a^5 \cdot a^3 = $$<br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$a^8$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$a^{15}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$(2a)^8$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$a^2$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 425  -->
  <question type="multichoice">
    <name>
      <text>Moltiplicazione potenze lettere 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>$$x^2 \cdot x^6 = $$<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>$$x^8$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$x^{12}$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$(2x)^8$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>$$x^4$$<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Moto - Cinematica/Moto circolare</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 426  -->
  <question type="multichoice">
    <name>
      <text>Moto circolare 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale forza agisce su un corpo che si muove di moto circolare?</p>]]></text>
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    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>La forza centripeta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>La forza circolare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Nessuna forza</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1015  -->
  <question type="truefalse">
    <name>
      <text>Moto circolare 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La forza centrifuga è una forza apparente,&nbsp; non esiste.</p>]]></text>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
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    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1016  -->
  <question type="truefalse">
    <name>
      <text>Moto circolare 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La forza centrifuga equilibrando la forza centripeta rende possibile il moto circolare.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Moto - Cinematica/Moto e quiete</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 427  -->
  <question type="multichoice">
    <name>
      <text>Moto7</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Per descrivere un moto si devono conoscere:<br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>traiettoria, tempo impiegato e spazio percorso<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>traiettoria, oggetto in moto, distanza dal sistema di riferimento <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>sono sufficienti la traiettoria e la sua lunghezza<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 841  -->
  <question type="multichoice">
    <name>
      <text>Sistema di riferimento</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/8/80/Heliocentric_solar_system.png" alt="sistema solare" class="img-responsive atto_image_button_text-bottom" width="247" height="83"></p><p>Prendendo come Sistema di Riferimento il Sole, una città sulla terra è <br></p>]]></text>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>In moto (si muove)<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>In quiete (ferma)<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Non si può sapere<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 842  -->
  <question type="multichoice">
    <name>
      <text>Sistema di riferimento 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/8/80/Heliocentric_solar_system.png" alt="sistema solare" class="img-responsive atto_image_button_text-bottom" width="247" height="83"></p><p>Prendendo come Sistema di Riferimento la Terra, una città sulla terra è <br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>In moto (si muove)<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>In quiete (ferma)<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Non si può sapere<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1017  -->
  <question type="truefalse">
    <name>
      <text>Moto1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp; &nbsp;<video controls="true" width="400" height="300"><source src="@@PLUGINFILE@@/moto%20e%20quiete.mp4">@@PLUGINFILE@@/moto%20e%20quiete.mp4</video>&nbsp;<br></p><p>Avvia il filmato e osserva per qualche secondo, poi considera l'affermazione qui sotto.<br></p><p>La palla da calcio è in stato di moto.</p>]]></text>
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</file>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="100" format="moodle_auto_format">
      <text>true</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 1018  -->
  <question type="truefalse">
    <name>
      <text>Moto2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp;&nbsp; &nbsp;<video controls="true" width="400" height="300"><source src="@@PLUGINFILE@@/moto%20e%20quiete.mp4">@@PLUGINFILE@@/moto%20e%20quiete.mp4</video>&nbsp;<br></p><p>Avvia il filmato e osserva per qualche secondo, poi considera l'affermazione qui sotto.<br>La palla da calcio è in stato di quiete.</p>]]></text>
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</file>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <answer fraction="0" format="moodle_auto_format">
      <text>true</text>
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        <text></text>
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    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>false</text>
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<!-- question: 1019  -->
  <question type="truefalse">
    <name>
      <text>Moto3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>&nbsp; &nbsp;<video controls="true" width="400" height="300"><source src="@@PLUGINFILE@@/moto%20e%20quiete.mp4">@@PLUGINFILE@@/moto%20e%20quiete.mp4</video> <br></p><p>Avvia il filmato e osserva per qualche secondo, poi considera l'affermazione qui sotto.<br></p><p>La palla da basket è in stato di quiete.</p>]]></text>
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