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<quiz>
<!-- question: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema</text>
    </category>
    <info format="moodle_auto_format">
      <text>La categoria default per le domande condivise nel contesto 'Sistema'.</text>
    </info>
  </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/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>
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      <text></text>
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      <text>Risposta corretta.</text>
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      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <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>
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      <text></text>
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      <text>Risposta parzialmente esatta.</text>
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    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
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    <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>
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    <generalfeedback format="html">
      <text></text>
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    <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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    <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>
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    <correctfeedback format="html">
      <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/>
    <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>
    <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>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>
    </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: 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>
    </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: 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>
    </category>
    <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>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <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>sostegno</text>
      <group>1</group>
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    <selectoption>
      <text>movimento</text>
      <group>1</group>
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    <selectoption>
      <text>irraggiamento</text>
      <group>1</group>
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    <selectoption>
      <text>torsioni</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>inalazioni</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>elevazioni</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>rotazioni</text>
      <group>3</group>
    </selectoption>
    <selectoption>
      <text>elevazioni</text>
      <group>3</group>
    </selectoption>
    <selectoption>
      <text>forti compressioni</text>
      <group>3</group>
    </selectoption>
    <selectoption>
      <text>vertebre</text>
      <group>4</group>
    </selectoption>
    <selectoption>
      <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>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
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    <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>ossa</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>cartilagini</text>
      <group>1</group>
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    <selectoption>
      <text>giunture</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>legamenti</text>
      <group>2</group>
    </selectoption>
    <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>
    </selectoption>
  </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>
    </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>osseo</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>ossa</text>
      <group>2</group>
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    <selectoption>
      <text>cartilagini</text>
      <group>3</group>
    </selectoption>
    <selectoption>
      <text>legamenti</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>movimento</text>
      <group>3</group>
    </selectoption>
    <selectoption>
      <text>sostegno</text>
      <group>2</group>
    </selectoption>
    <selectoption>
      <text>protezione</text>
      <group>1</group>
    </selectoption>
  </question>

<!-- 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>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>nei reni</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>negli ureteri</text>
      <group>1</group>
    </selectoption>
    <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>
    </partiallycorrectfeedback>
    <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>
    </selectoption>
    <selectoption>
      <text>eritrociti</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>gasteropodi</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>osseo</text>
      <group>2</group>
    </selectoption>
    <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>
    </incorrectfeedback>
    <shownumcorrect/>
    <selectoption>
      <text>anidride carbonica</text>
      <group>1</group>
    </selectoption>
    <selectoption>
      <text>urea</text>
      <group>1</group>
    </selectoption>
    <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>
    </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: 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>
    </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: 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>
    </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: 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>
    </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: 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>
    </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: 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>
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    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback 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/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/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>
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        <file name="Schermata 2020-04-15 alle 10_600x400.14.25.png" 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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/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>
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      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback 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/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>
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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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    <answer fraction="100" format="html">
      <text><![CDATA[<p>della mioglobina<br></p>]]></text>
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        <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>
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      <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>
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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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    <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>
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    </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>
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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>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/Scienze Scuola Media/Il corpo umano/Sostegno e movimento/Scheletro e ossa/RM-Scheletro e ossa</text>
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    <info format="moodle_auto_format">
      <text></text>
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<!-- 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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    <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>
    </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>
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      <text></text>
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    <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/>
    <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>
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    <questiontext format="html">
      <text><![CDATA[<p>Il tessuto osseo è rivestito da...<br></p>]]></text>
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    <generalfeedback format="html">
      <text></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>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/Scienze Scuola Media/Il corpo umano/Sistema escretore/La pelle e il sudore</text>
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      <text></text>
    </info>
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<!-- 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>
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      <text></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/>
    <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>
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    <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>
      </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/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>
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    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
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    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
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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>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/Il corpo umano/Sostegno e movimento/Scheletro e ossa/VF-Scheletro e ossa</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 937  -->
  <question type="truefalse">
    <name>
      <text>Carbonato ossa</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le ossa sono ricche di carbonato di calcio<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: 938  -->
  <question type="truefalse">
    <name>
      <text>Cartilagine dura</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La cartilagine è una struttura particolarmente dura che funge da "impalcatura" per le ossa.<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: 939  -->
  <question type="truefalse">
    <name>
      <text>Cartilagine e collagene</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il collagene è una proteina fibrosa che forma la struttura della cartilagine.<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: 1023  -->
  <question type="truefalse">
    <name>
      <text>Ossa cellule</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le ossa sono formate da cellule viventi.<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: 1024  -->
  <question type="truefalse">
    <name>
      <text>Ossa non cellule</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Nelle ossa non sono presenti cellule.<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/VF-Muscoli e tessuto muscolare</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 941  -->
  <question type="truefalse">
    <name>
      <text>Collegamento muscoli ossa.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le ossa sono collegate ai muscoli per mezzo dei filamenti.<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: 942  -->
  <question type="truefalse">
    <name>
      <text>Colore rosso del muscolo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il colore rosso dei muscoli è dovuto alla presenza della mioglobina, molecola che immgazzina l'ossigeno.<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: 1058  -->
  <question type="truefalse">
    <name>
      <text>Tessuto muscolare liscio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il tessuto muscolare liscio è presente nei muscoli involontari.<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: 1059  -->
  <question type="truefalse">
    <name>
      <text>Tessuto muscolare striato</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il tessuto muscolare striato è presente nei muscoli involontari.<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/Sistema escretore/VF-Liquidi nel corpo umano</text>
    </category>
    <info format="moodle_auto_format">
      <text></text>
    </info>
  </question>

<!-- question: 970  -->
  <question type="truefalse">
    <name>
      <text>Escrezione e pelle</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'escrezione è il processo che ci permette di rinnovare completamente la nostra pelle ogni anno.<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: 971  -->
  <question type="truefalse">
    <name>
      <text>Escrezione ovvero eliminazione.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'escrezione è il processo attraverso il quale il nostro corpo elimina le sostanze nocive.<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: 1004  -->
  <question type="truefalse">
    <name>
      <text>Mantenimento livello liquidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[La quantità di liquidi presenti nel nostro corpo, e quindi la loro composizione, deve mantenersi il più possibile costante.<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: 1040  -->
  <question type="truefalse">
    <name>
      <text>Possibili differenze di livello dei liquidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il nostro corpo, il suo ambiente interno, può sopportare grosse differenze di presenza di 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/Scienze Scuola Media/Il corpo umano/Sistema Immunitario</text>
    </category>
    <info format="html">
      <text></text>
    </info>
  </question>

<!-- question: 36513  -->
  <question type="ddimageortext">
    <name>
      <text>Globuli e piastrine</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona correttamente le etichette<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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</file>

    <drag>
      <no>1</no>
      <text>globulo rosso</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>globulo bianco</text>

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

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text>globulo rosso</text>
      <no>1</no>
      <choice>1</choice>
      <xleft>109</xleft>
      <ytop>189</ytop>
    </drop>
    <drop>
      <text>globulo bianco</text>
      <no>2</no>
      <choice>2</choice>
      <xleft>371</xleft>
      <ytop>110</ytop>
    </drop>
    <drop>
      <text>piastrina</text>
      <no>3</no>
      <choice>3</choice>
      <xleft>294</xleft>
      <ytop>210</ytop>
    </drop>
  </question>

<!-- question: 36514  -->
  <question type="cloze">
    <name>
      <text>Linfociti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I linfociti-T si distinguono in tre gruppi: <br></p><ul><li>{1:MULTICHOICE:Linfociti-Tk#Wrong~=Linfociti-Th#OK~Linfociti-Tmemoria#Wrong} sentinella, collaborano con i Linfociti-B</li><li>{1:MULTICHOICE:=Linfociti-Tk#OK~Linfociti-Th#Wrong~Linfociti-Tmemoria#Wrong} attaccano direttamente i microbi</li><li>{1:MULTICHOICE:Linfociti-Th#Wrong~=Linfociti-Tmemoria#OK~Linfociti-Tk#Wrong} riattivano la risposta immunitaria se riconoscono l'antigene<br></li></ul>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
  </question>

<!-- question: 36504  -->
  <question type="multichoice">
    <name>
      <text>Agenti patogeni</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il termine agenti patogeni si riferisce 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>tutto ciò con cui veniamo in contatto e che potrebbe causarci malattie<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>batteri aerofagi che si occupano di consumare i resti di cibo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>virus che evolvendosi riescono a sopravvivere al di fuori del corpo umano<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>funghi microscopici che producono anidride carbonica<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 36511  -->
  <question type="multichoice">
    <name>
      <text>Globuli bianchi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/2/24/Red_White_Blood_cells.jpg" alt="Globuli" class="img-responsive atto_image_button_middle" width="350" height="228"><br></p><p>I globuli bianchi fagociti distruggono i microbi poiché riconoscono... <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 antigene estraneo <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un enzima particolare<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>un sapore disgutoso<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[un colore fuori scala<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 36510  -->
  <question type="multichoice">
    <name>
      <text>Globuli bianchi 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/2/24/Red_White_Blood_cells.jpg" alt="Globuli" class="img-responsive atto_image_button_middle" width="350" height="228"><br></p><p>Se un microbo, virus o batterio, ci infetta per combattere l'infezione si attivano...<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 globuli bianchi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>i globuli rossi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>le piastrine<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[gli enzimi<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 36512  -->
  <question type="multichoice">
    <name>
      <text>Linfociti 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/7/74/DifImmunPatog.png" alt="difese immunitarie" class="img-responsive atto_image_button_middle" width="350" height="274"><br></p><p>I linfociti-B attaccano gli agenti patogeni producendo... <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>anticorpi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>antigeni<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>piastrine<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[enzimi<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 36507  -->
  <question type="multichoice">
    <name>
      <text>Liquido lacrimale</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Occhio_nocciola.jpg/1024px-Occhio_nocciola.jpg" alt="occhio" class="img-responsive atto_image_button_middle" width="350" height="301"><br></p><p>Nel liquido lacrimale è presente lisozima un enzima 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>attacca e prova a distruggere i microbi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>rende più brillante il loro colore <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ci permette di vedere meglio<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>controlla la trasparenza del liquido lacrimale<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 36506  -->
  <question type="multichoice">
    <name>
      <text>Peli nelle narici</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I peli nelle narici...<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>filtrano l'aria che respiriamo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>sono organi di senso per l'olfatto<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>se tinti si coordinano con i baffi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non servono a nulla sono solo un ricordo della nostra evoluzione<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 36505  -->
  <question type="truefalse">
    <name>
      <text>La pelle</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La pelle non ha difese immunitarie e permette facilmente l'ingresso di agenti patogeni microbi, batteri, virus nel corpo umano<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: 36508  -->
  <question type="truefalse">
    <name>
      <text>Succo gastrico</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il succo gastrico è un potente battericida.<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: 36509  -->
  <question type="truefalse">
    <name>
      <text>Succo gastrico 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il succo gastrico non contiene difese contro i batteri e diventa un facile veicolo di infezione.<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: 36518  -->
  <question type="truefalse">
    <name>
      <text>Vaccino</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/2/2e/Vaccination-polio-india.jpg/713px-Vaccination-polio-india.jpg" alt="vaccinaizone" class="img-responsive atto_image_button_left" width="300" height="431">La vaccinazione si basa sulla proprietà dei Linfociti-Tmemoria di "ricordare" per molto tempo la struttura dell'antigene collegato al batterio o al virus infettante. <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: 36519  -->
  <question type="truefalse">
    <name>
      <text>Vaccino 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/2/2e/Vaccination-polio-india.jpg/713px-Vaccination-polio-india.jpg" alt="vaccinaizone" class="img-responsive atto_image_button_left" width="300" height="431">La vaccinazione si basa sulla proprietà dei Linfociti-Tk di attaccare in tempi rapidi il batterio o al virus infettante. <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/Salute</text>
    </category>
    <info format="html">
      <text></text>
    </info>
  </question>

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

<!-- question: 210357  -->
  <question type="multichoice">
    <name>
      <text>Durata del sono età</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/0/0b/Alonso_Cano_%281601-1667%29_%28attributed_to%29_-_The_Sleeping_Christ_Child_-_1257133_-_National_Trust.jpg" alt="sleeping child" class="img-responsive atto_image_button_text-bottom" width="300" height="175"><br></p><p>Un bambino di un anno dorme circa<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>13-14 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>7 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>9-10 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210358  -->
  <question type="multichoice">
    <name>
      <text>Durata del sono età 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/e/e7/David_Rijckaert_%28III%29_-_Old_man_sleeping.jpg" alt="old man sleeps" class="img-responsive atto_image_button_text-bottom" width="250" height="303"><br></p><p>Un adulto&nbsp; dorme circa<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>13-14 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>7 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>9-10 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210359  -->
  <question type="multichoice">
    <name>
      <text>Durata del sono età 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un adolescente&nbsp; dorme circa<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>13-14 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>7 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>9-10 ore al giorno<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210330  -->
  <question type="multichoice">
    <name>
      <text>Funzioni del sonno</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il sonno serve anche per <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>crescere<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>riposare<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dimenticare <br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>tutte le alternative</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210331  -->
  <question type="multichoice">
    <name>
      <text>Funzioni del sonno 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il sonno serve anche per <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>riorganizzare informazioni e ricordi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>riposare gli arti<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[cambiare opinioni<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210342  -->
  <question type="multichoice">
    <name>
      <text>Funzioni del sonno 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Ci ritrova con un miglior umore e maggiori capacità di concentrazione ...<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>dopo una bella dormita<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dopo aver dormito per meno di 4 ore<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[se non si dorme per una notte<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210343  -->
  <question type="multichoice">
    <name>
      <text>Funzioni del sonno 7</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Dopo una bella dormita<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 è di umore migliore e si hanno maggiori capacità di raginamento<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>si resta molto assonati e si fatica concentrarsi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[si litiga facilmente avendo meno capacità di ascolto<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210344  -->
  <question type="multichoice">
    <name>
      <text>Funzioni del sonno 8</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Dopo una bella dormita<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>ci si concentra meglio sui propri pensieri<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ha poca voglia di fare attività sportiva<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[si è di cattivo umore<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210345  -->
  <question type="multichoice">
    <name>
      <text>Funzioni del sonno 9</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Dopo aver dormito male<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 ha poca capacità di ascolto<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>si ha voglia di fare attività sportiva<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[si è di ottimo umore<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210348  -->
  <question type="multichoice">
    <name>
      <text>Il sonno nel tempo 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/b/b7/12012020_TUORO_SUL_TRASIMENO_MUNICIPIO_FACCIATA_CON_LAMPIONE_BALCONE_E_OROLOGIO.jpg/1024px-12012020_TUORO_SUL_TRASIMENO_MUNICIPIO_FACCIATA_CON_LAMPIONE_BALCONE_E_OROLOGIO.jpg" alt="lampione" class="img-responsive atto_image_button_text-bottom" width="400" height="291"><br></p><p>Ai giorni nostri dormiamo meno che in passato poiché<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[abbiamo maggiore disponibilità di luce<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ci siamo modificati geneticamente<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>è una abitudine culturale, i tedeschi invece...<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210360  -->
  <question type="multichoice">
    <name>
      <text>Il sonno nel tempo 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In passato i nostri nonni dormivano circa<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[10 ore<br>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>6 ore<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>13-14 ore<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210339  -->
  <question type="multichoice">
    <name>
      <text>Ore sonno 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Gli adolescenti devono dormire</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>tra le 8 e le 11 ore al giorno</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Meno di 7 ore al giorno</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Tra le 6 e le 8 ore al giorno</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210325  -->
  <question type="multichoice">
    <name>
      <text>Ritmo biologico 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/c/ce/Cellula_eucaristie.png" alt="cellula" class="img-responsive atto_image_button_text-bottom" width="400" height="243"><br></p><p>Il ritmo biologico delle nostre cellule ha una durata di circa?<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>24 ore<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>26 ore<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>12 ore<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210280  -->
  <question type="multichoice">
    <name>
      <text>Ritmo cicardiano</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'orologio biologico delle nostre cellule ha un ritmo veglia sonno ...</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 24 ore</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>di 24 ore esatte</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>minore di 24 ore</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210281  -->
  <question type="multichoice">
    <name>
      <text>Ritmo cicardiano 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'orologio biologico delle nostre cellule è controllato&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>geneticamente</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dall'ambiente</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dal ciclo solare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210349  -->
  <question type="multichoice">
    <name>
      <text>Sonno e alimentazione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d6/Leonardo%2C_ultima_cena_%28restored%29_01.jpg/1024px-Leonardo%2C_ultima_cena_%28restored%29_01.jpg" alt="ultima cena" class="img-responsive atto_image_button_text-bottom" width="400" height="316"><br></p><p>La sera per dormire bene è opportuno mangiare <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>verdure, frutta, yogurt<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>cioccolato, coca cola, patatine<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>salumi, caffè e cioccolato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210350  -->
  <question type="multichoice">
    <name>
      <text>Sonno e alimentazione 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi alimenti è opportuno evitare la sera a cena per poter dormire bene<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>cioccolato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>verdura<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>frutta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210351  -->
  <question type="multichoice">
    <name>
      <text>Sonno e alimentazione 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi alimenti è opportuno evitare la sera a cena per poter dormire bene<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>caffè<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>yogurt<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>frutta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210352  -->
  <question type="multichoice">
    <name>
      <text>Sonno e alimentazione 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi alimenti è opportuno evitare la sera a cena per poter dormire bene<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>patatine<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>latte<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>pane<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210353  -->
  <question type="multichoice">
    <name>
      <text>Sonno e alimentazione 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi alimenti è opportuno mangiare la sera a cena per poter dormire bene<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>pasta<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>cioccolato<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>salumi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210354  -->
  <question type="multichoice">
    <name>
      <text>Sonno e alimentazione 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi alimenti è opportuno mangiare la sera a cena per poter dormire bene<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>verdura<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>tè<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>salumi<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210290  -->
  <question type="multichoice">
    <name>
      <text>Sonno e ormoni</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/1885_-_E_D_Jeanes_-_Man_with_Young_Child_-_Photo_Card_-_Allentown_PA.jpg/676px-1885_-_E_D_Jeanes_-_Man_with_Young_Child_-_Photo_Card_-_Allentown_PA.jpg" alt="child and man" class="atto_image_button_text-bottom" width="300" height="390"><br></p><p>L'ormone della crescita (GH) viene secreto ...</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>durante il sonno profondo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>durante il dormiveglia</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>durante la veglia vigile</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210291  -->
  <question type="multichoice">
    <name>
      <text>Sonno e ormoni 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale ormone viene secreto solo durante il sonno profondo?</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'ormone della crescita (GH)</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'ormone che regola la peluria del corpo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'ormone regolatore degli zuccheri nel sangue</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210292  -->
  <question type="multichoice">
    <name>
      <text>Sonno e ormoni 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale ormone viene secreto solo durante il sonno profondo?</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 prolattina&nbsp;</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'insulina&nbsp;</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'adrenalina</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210293  -->
  <question type="multichoice">
    <name>
      <text>Sonno e ormoni 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale ormone si riduce durante il sonno ed aumenta al mattino?</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’ormone cortisolo (l’ormone dello stress)&nbsp;</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>L'ormone della crescita</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>La prolattina</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210285  -->
  <question type="multichoice">
    <name>
      <text>Sonno e temperatura</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La temperatura corporea durante il sonno si abbassa di ...</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>circa 1 grado</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>10° gradi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>diventa uguale alla temperatura ambiente</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210328  -->
  <question type="truefalse">
    <name>
      <text>Abitudini corrette per il sonno</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/7/79/Van_gogh_bedroom_impression_on_original_color.jpg/1024px-Van_gogh_bedroom_impression_on_original_color.jpg" alt="bedroom van gogh" class="img-responsive atto_image_button_text-bottom" width="400" height="315"><br></p><p>La sera dobbiamo andare a letto in anticipo sull'ora del sonno.<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: 210329  -->
  <question type="truefalse">
    <name>
      <text>Abitudini corrette per il sonno 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La sera dobbiamo aspettare che ci venga sonno prima di coricarci.<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: 210334  -->
  <question type="truefalse">
    <name>
      <text>Abitudini corrette per il sonno 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/0/0b/Alonso_Cano_%281601-1667%29_%28attributed_to%29_-_The_Sleeping_Christ_Child_-_1257133_-_National_Trust.jpg" alt="sleeping child" class="img-responsive atto_image_button_text-bottom" width="300" height="582"><br></p><p>Un bambino di 1 anno dorme circa 10 ore<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: 210335  -->
  <question type="truefalse">
    <name>
      <text>Abitudini corrette per il sonno 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Un bambino di 1 anno dorme circa 13 ore<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: 210340  -->
  <question type="truefalse">
    <name>
      <text>Funzioni del sonno 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il sonno serve per crescere<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: 210332  -->
  <question type="truefalse">
    <name>
      <text>Funzioni del sonno 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Durante il sonno si rinforza il sistema immunitario<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: 210333  -->
  <question type="truefalse">
    <name>
      <text>Funzioni del sonno 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Durante il sonno si regola l'apparato digestivo<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: 210341  -->
  <question type="truefalse">
    <name>
      <text>Funzioni del sonno 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Dopo una bella dormita si litiga più facilmente poiché si è meno disposti ad ascoltare.<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: 210346  -->
  <question type="truefalse">
    <name>
      <text>Il sonno nel tempo</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><br></p><p>Ai giorni nostri in genere dormiamo meno che negli anni dal 1900 al 1940.<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: 210347  -->
  <question type="truefalse">
    <name>
      <text>Il sonno nel tempo 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/9/95/Johannes_Cathrine_Krebs_-_A_woman_in_her_bed.jpg" alt="woman in bed" class="img-responsive atto_image_button_text-bottom" width="395" height="321"><br></p><p>Ai giorni nostri in genere dormiamo di più che negli anni dal 1900 al 1940.<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: 210355  -->
  <question type="truefalse">
    <name>
      <text>Luce blu</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/f/f7/Black_Cartoon_Woman_Using_A_Smartphone_Before_Bed.svg/748px-Black_Cartoon_Woman_Using_A_Smartphone_Before_Bed.svg.png" alt="blue light smartphone" class="img-responsive atto_image_button_text-bottom" width="200" height="233"><br></p><p>La luce blu emessa dagli smartphone disturba il sonno<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: 210356  -->
  <question type="truefalse">
    <name>
      <text>Luce blu 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/90/Black_Cartoon_Guy_Using_A_Smartphone_At_Home.svg/825px-Black_Cartoon_Guy_Using_A_Smartphone_At_Home.svg.png" alt="smartphone on couch" class="img-responsive atto_image_button_text-bottom" width="200" height="248"><br></p><p>La luce blu emessa dagli smartphone favorisce il sonno<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: 210336  -->
  <question type="truefalse">
    <name>
      <text>Ore sonno 1</text>
    </name>
    <questiontext format="html">
      <text>Gli adolescenti non devono dormire più di 7 ore in un giorno</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: 210337  -->
  <question type="truefalse">
    <name>
      <text>Ore sonno 2</text>
    </name>
    <questiontext format="html">
      <text>Gli adolescenti devono assolutamente dormire più di 11 ore in un giorno</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: 210338  -->
  <question type="truefalse">
    <name>
      <text>Ore sonno 3</text>
    </name>
    <questiontext format="html">
      <text>Gli adolescenti devono dormire tra le 8 e le 11 ore al giorno</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: 210326  -->
  <question type="truefalse">
    <name>
      <text>Ritmo biologico 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'orologio biologico che c'è nelle nostre cellule è controllato geneticamente.<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: 210327  -->
  <question type="truefalse">
    <name>
      <text>Ritmo biologico 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'orologio biologico che c'è nelle nostre cellule non è controllato geneticamente.<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: 210282  -->
  <question type="truefalse">
    <name>
      <text>Ritmo cicardiano 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il ritmo veglia sonno è controllato geneticamente</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: 210283  -->
  <question type="truefalse">
    <name>
      <text>Ritmo cicardiano 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il ritmo veglia sonno è controllato dal ciclo solare</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: 210284  -->
  <question type="truefalse">
    <name>
      <text>Ritmo cicardiano 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Il ritmo veglia sonno non è controllato geneticamente</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: 210294  -->
  <question type="truefalse">
    <name>
      <text>Sonno e ormoni 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L’ormone cortisolo (l’ormone dello stress) si riduce durante il sonno ed aumenta al mattino</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: 210288  -->
  <question type="truefalse">
    <name>
      <text>Sonno e pressione</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Durante il sonno la pressione sanguigna si alza.</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: 210289  -->
  <question type="truefalse">
    <name>
      <text>Sonno e pressione 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Durante il sonno la pressione sanguigna si abbassa.</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: 210286  -->
  <question type="truefalse">
    <name>
      <text>Sonno e temperatura 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><br></p><p>Durante il sonno la temperatura corporea si abbassa.</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: 210287  -->
  <question type="truefalse">
    <name>
      <text>Sonno e temperatura 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Durante il sonno la temperatura corporea si alza.</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/Salute/Alimentazione/Prinicipi nutritivi</text>
    </category>
    <info format="html">
      <text></text>
    </info>
  </question>

<!-- question: 210893  -->
  <question type="matching">
    <name>
      <text>principi nutritivi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Abbina i principi nutritivi alle loro funzioni<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>Proteine</p>]]></text>
      <answer>
        <text>funzione plastica</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Carboidrati e grassi</p>]]></text>
      <answer>
        <text>funzione energetica</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>Vitamine e sali minerali</p>]]></text>
      <answer>
        <text>funzione regolatrice</text>
      </answer>
    </subquestion>
  </question>

<!-- question: 210883  -->
  <question type="multichoice">
    <name>
      <text>Glucidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Qual è la principale funzione dei glucidi?</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 id="docs-internal-guid-7d32278b-7fff-3cd6-ff7a-500a3051f3e2">fornire energia all’organismo</span><br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>aiutano il sistema immunitario</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>hanno soprattutto funzioni plastiche</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210884  -->
  <question type="multichoice">
    <name>
      <text>glucidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale tra questi principi nutritivi viene 'bruciato' per primo dall'organismo?</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>Glucidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Lipidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Proteine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sali minerali</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Vitamine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210885  -->
  <question type="multichoice">
    <name>
      <text>Glucidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I Glucidi sono sinonimi di:</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>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>Grassi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Lipidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>Carboidrati</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>Zuccheri</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sali minerali</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210644  -->
  <question type="multichoice">
    <name>
      <text>Glucidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi alimenti contengono GLUCIDI: (2 alternative corrette)</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>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>Carne e uova</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>Pane e pasta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>dolciumi<br></p><p>Dolci e bibite gassate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210628  -->
  <question type="multichoice">
    <name>
      <text>I principi nutritivi a cosa servono</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>A cosa servono i principi nutritivi? (più alternative sono corrette)</p><p><img src="https://image.slidesharecdn.com/principinutritivi-160624081142/95/principi-nutritivi-1-638.jpg?cb=1466755914" alt="Principi nutritivi"><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>forniscono energia necessaria per lo
svolgimento delle attività dell’organismo<br></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>sono importanti per gli organismi non viventi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p></p><div>apportano i materiali necessari per la costruzione e il mantenimento dei tessuti corporei</div><br><p></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p></p><div>forniscono le sostanze capaci di garantire lo svolgimento delle funzioni metaboliche</div><br><p></p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>non hanno alcun interesse per gli organismi viventi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210635  -->
  <question type="multichoice">
    <name>
      <text>Lipidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi cibi contengono LIPIDI:&nbsp;</p><p><br></p><p><img 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alt="Proteine - Wikipedia"><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>carne e pesce</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>olio e burro</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>latte e uova</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>frutta e verdura</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210641  -->
  <question type="multichoice">
    <name>
      <text>Lipidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Come si chiama la sostanza nociva contenuta nei lipidi?</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>Colesterolo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Saccarosio</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Glucosio</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210642  -->
  <question type="multichoice">
    <name>
      <text>Lipidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I lipidi di origine vegetale contengo acidi grassi:</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>saturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>insaturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210643  -->
  <question type="multichoice">
    <name>
      <text>Lipidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I lipidi di origine animali contengo acidi grassi:</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>saturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>insaturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210630  -->
  <question type="multichoice">
    <name>
      <text>macronutrienti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I macronutrienti si chiamano così perchè:</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 percentualmente più presenti nei cibi&nbsp;</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>devono essere assunti giornalmente in quantità maggiori</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>hanno molecole più grandi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210632  -->
  <question type="multichoice">
    <name>
      <text>Macronutrienti e micronutrienti</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali tra questi sono macronutrienti (più di un'alternativa è corretta)</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>Lipidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sali minerali</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>Glucidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Vitamine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>Proteine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210633  -->
  <question type="multichoice">
    <name>
      <text>Macronutrienti e micronutrienti 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali tra questi sono micronutrienti (più di un'alternativa è corretta)</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>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>Lipidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>Sali minerali</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Glucidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>Vitamine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Proteine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210897  -->
  <question type="multichoice">
    <name>
      <text>olio d'oliva</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'olio d'oliva è ricco 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>grassi insaturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>grassi saturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210895  -->
  <question type="multichoice">
    <name>
      <text>Patate</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le patate contengono maggiormente:</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>Proteine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Glucidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Vitamine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Sali minerali</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210880  -->
  <question type="multichoice">
    <name>
      <text>Proteine</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le proteine (o protidi) sono costituiti da:</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 catena di aminoacidi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>grassi saturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>diversi sali minerali</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210886  -->
  <question type="multichoice">
    <name>
      <text>Proteine</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le Proteine hanno una funzione plastica, cosa significa?</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>che si adattano a tutti gli organismi viventi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>che non sono commestibili</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>che forniscono il materiale per la costruzione di cellule e tessuti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>che hanno delle funzioni versatili in base all'organismo che le assume</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210634  -->
  <question type="multichoice">
    <name>
      <text>Proteine</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi cibi contengono PROTEINE: (2 alternative corrette)</p><p><br></p><p><img 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alt="Proteine - Wikipedia"><br></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>carne e pesce</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>olio e burro</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>latte e uova</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>frutta e verdura</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210890  -->
  <question type="multichoice">
    <name>
      <text>Proteine</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali di questi alimenti forniscono proteine:</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>Legumi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>Carne bianca e pesce</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>Carne rossa</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>verdura</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>pane e pasta</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210892  -->
  <question type="multichoice">
    <name>
      <text>Regime alimentare</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In una dieta vegetariana è indispensabile sostituire l'apporto di proteine con:</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>uova e legumi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>dolci di ogni genere</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Pane e frutta secca</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210891  -->
  <question type="multichoice">
    <name>
      <text>Uova</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le uova contengono in misura maggiore:</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>Proteine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Carboidrati</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Grassi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210889  -->
  <question type="truefalse">
    <name>
      <text>Acqua</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'acqua è una sostanza fondamentale per la vita</p><p><img src="@@PLUGINFILE@@/Statue%20of%20lion%20on%20fontana%20dellAcqua%20Felice%20%28Rome%29.jpg" alt="fontana" width="500" height="426" class="img-responsive atto_image_button_text-bottom"></p>]]></text>
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<!-- question: 210882  -->
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      <text>Dieta</text>
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      <text><![CDATA[<p>Una dieta ipocalorica prevede l'assunzione di una quantità di calorie maggiore del dovuto</p>]]></text>
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<!-- question: 210629  -->
  <question type="truefalse">
    <name>
      <text>Gli alimenti</text>
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      <text><![CDATA[<p>In genere, un alimento fornisce tutti i principi nutritivi?</p><p><img 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alt="Pane cafone: la ricetta del pane napoletano da fare in casa"><br></p>]]></text>
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      <text>Gli alimenti 3</text>
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<!-- question: 210887  -->
  <question type="truefalse">
    <name>
      <text>Glucidi</text>
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      <text><![CDATA[<p>La quantità di zuccheri assunti in eccesso si accumula sotto forma di grasso</p>]]></text>
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      <text>true</text>
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    <answer fraction="0" format="moodle_auto_format">
      <text>false</text>
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        <text></text>
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    </answer>
  </question>

<!-- question: 210888  -->
  <question type="truefalse">
    <name>
      <text>Glucidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La quantità di zuccheri assunti in eccesso non si accumula sotto forma di grasso</p>]]></text>
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<!-- question: 210626  -->
  <question type="truefalse">
    <name>
      <text>I principi nutritivi</text>
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    <questiontext format="html">
      <text><![CDATA[<p></p><p><span style="font-size: 0.9375rem;">In ogni alimento sono presenti tutti i principi nutritivi</span><br></p><img src="@@PLUGINFILE@@/Etor%20Ghanian%20food.jpg" alt="cibo" width="300" height="205" class="img-responsive atto_image_button_text-bottom"><br><p></p>]]></text>
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      <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: 210881  -->
  <question type="truefalse">
    <name>
      <text>Lipidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>L'olio e la margarina sono grassi di origine vegetale</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: 210638  -->
  <question type="truefalse">
    <name>
      <text>Lipidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I Lipidi apportano una sostanza nociva se assunta in notevole quantità può essere dannosa.&nbsp;</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: 0  -->
  <question type="category">
    <category>
      <text>$system$/top/Default per Sistema/Scienze Scuola Media/Il corpo umano/Salute/Alimentazione/Sana alimentazione</text>
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<!-- question: 210627  -->
  <question type="ddimageortext">
    <name>
      <text>Piramide alimentare 1</text>
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      <text><![CDATA[<p>Posiziona le quantità corrette sulla piramide alimentare<br></p>]]></text>
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      <text></text>
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    <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>Dolciumi, bibite 1 o 2 porzioni a settimana </text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Carne rossa e uova 2 porzioni a settimana</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Legumi, pesce, formaggi e carne bianca</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Pane, pasta e riso 3 porzioni a settimana</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>6</no>
      <text>Latte 1 porzione al giorno</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>7</no>
      <text>Acqua, bevande senza zucchero a piacere</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>8</no>
      <text>Frutta e verdura 5-6 porzioni al giorno</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>100</xleft>
      <ytop>66</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>6</xleft>
      <ytop>96</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>71</xleft>
      <ytop>181</ytop>
    </drop>
    <drop>
      <text></text>
      <no>5</no>
      <choice>6</choice>
      <xleft>208</xleft>
      <ytop>144</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>4</choice>
      <xleft>86</xleft>
      <ytop>222</ytop>
    </drop>
    <drop>
      <text></text>
      <no>7</no>
      <choice>7</choice>
      <xleft>68</xleft>
      <ytop>317</ytop>
    </drop>
    <drop>
      <text></text>
      <no>8</no>
      <choice>8</choice>
      <xleft>50</xleft>
      <ytop>255</ytop>
    </drop>
  </question>

<!-- question: 210636  -->
  <question type="ddimageortext">
    <name>
      <text>Piramide alimentare 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Posiziona le quantità corrette sulla piramide alimentare<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="Piramide alimentare_600x400.jpg" 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</file>

    <drag>
      <no>1</no>
      <text>Dolciumi, bibite o salumi</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>2</no>
      <text>Carne rossa e uova </text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>3</no>
      <text>Legumi, pesce, formaggi e carne bianca  </text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>4</no>
      <text>Pane, pasta e riso </text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>5</no>
      <text>Olio di oliva e latte</text>

      <draggroup>1</draggroup>
    </drag>
    <drag>
      <no>7</no>
      <text>Frutta e verdura</text>

      <draggroup>1</draggroup>
    </drag>
    <drop>
      <text></text>
      <no>1</no>
      <choice>1</choice>
      <xleft>349</xleft>
      <ytop>26</ytop>
    </drop>
    <drop>
      <text></text>
      <no>2</no>
      <choice>2</choice>
      <xleft>395</xleft>
      <ytop>114</ytop>
    </drop>
    <drop>
      <text></text>
      <no>3</no>
      <choice>3</choice>
      <xleft>285</xleft>
      <ytop>161</ytop>
    </drop>
    <drop>
      <text></text>
      <no>4</no>
      <choice>5</choice>
      <xleft>311</xleft>
      <ytop>234</ytop>
    </drop>
    <drop>
      <text></text>
      <no>6</no>
      <choice>4</choice>
      <xleft>284</xleft>
      <ytop>284</ytop>
    </drop>
    <drop>
      <text></text>
      <no>7</no>
      <choice>7</choice>
      <xleft>183</xleft>
      <ytop>328</ytop>
    </drop>
  </question>

<!-- question: 210948  -->
  <question type="multichoice">
    <name>
      <text>abitudini salutari</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Oltre ad una sana alimentazione cosa ci fa stare bene (rafforza il sistema immunitario)?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>false</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>l'attività sportiva</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>un sonno regolare</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>mangiare molte caramelle</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ascoltare la musica ad alto volume</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>saltare regolarmente i pasti</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210946  -->
  <question type="multichoice">
    <name>
      <text>calorie</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale pasto, tra i seguenti, è quello che deve apportare il maggior numero di calorie durante la giornata?</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>colazione</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>merenda</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>pranzo</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>cena</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210947  -->
  <question type="multichoice">
    <name>
      <text>dolci</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quante volte a settimana andrebbero mangiati i cibi dolci affinchè non possano causare problemi all'organismo?</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</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <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>10</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210951  -->
  <question type="multichoice">
    <name>
      <text>farina integrale</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La farina integrale è più salutare perchè contiene tutte le parti del chicco di frumento tra cui:</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 crusca</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>la spiga</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>il gambo del frumento</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>il fiore</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210949  -->
  <question type="multichoice">
    <name>
      <text>insaccati</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quante volte al massimo a settimana bisognerebbe mangiare insaccati affinché non siano un danno per la salute?<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>massimo 1</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>massimo 3</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>massimo 8</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210894  -->
  <question type="multichoice">
    <name>
      <text>km 0</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Per essere più sostenibili dal punto di vista ambientale cerco di scegliere cibi:</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>Provenienti da aziende agricole locali</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[Preferisco i legumi alla carne&nbsp;]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>Scelgo cibi sfusi o con imballaggi riciclabili</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Acquisto frutta e verdura tropicale</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Mangio carne anche 6 volte e settimana</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210939  -->
  <question type="multichoice">
    <name>
      <text>Legumi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quali tra i seguenti sono legumi:</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Risposta parzialmente esatta.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Risposta errata.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>soia</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>fagioli</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="33.33333" format="html">
      <text><![CDATA[<p>lenticchie</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>barbabietola</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>mais</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210938  -->
  <question type="multichoice">
    <name>
      <text>OMS</text>
    </name>
    <questiontext format="html">
      <text>Cosa indica l'acronimo OMS?</text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <idnumber></idnumber>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text>Risposta corretta.</text>
    </correctfeedback>
    <partiallycorrectfeedback 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>Organizzazione Mondiale Sanità</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Orgoglio Mondiale Sanitario</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Opportunità Molto Sane</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210940  -->
  <question type="multichoice">
    <name>
      <text>patata</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La patata bollita contiene soprattutto:</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>zuccheri</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>carboidrati</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>proteine</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210942  -->
  <question type="multichoice">
    <name>
      <text>porzioni frutta e verdura</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quante&nbsp;porzioni di frutta e verdura si dovrebbero mangiare al giorno?</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>3</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>5</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>1</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210945  -->
  <question type="multichoice">
    <name>
      <text>sale</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quanti grammi di sale si possono assumere al giorno senza causare danni al nostro organismo</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</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>15</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210952  -->
  <question type="multichoice">
    <name>
      <text>scorbuto</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>La malattia chiamata SCORBUTO si manifesta per:<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>mancanza di vitamina C</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>l'abuso di sale</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>l'abuso di bibite gassate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210639  -->
  <question type="truefalse">
    <name>
      <text>Acqua 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/5/5e/Water_drop_001.jpg/1024px-Water_drop_001.jpg" alt="Acqua" class="img-responsive atto_image_button_text-bottom" width="600" height="400"></p><p>Per una corretta alimentazione è sempre consigliato bere acqua<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: 210640  -->
  <question type="truefalse">
    <name>
      <text>Acqua 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/5/5e/Water_drop_001.jpg/1024px-Water_drop_001.jpg" alt="Acqua" class="img-responsive atto_image_button_text-bottom" width="600" height="400"></p><p>Per una corretta alimentazione è sempre bene evitare di bere acqua<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: 210941  -->
  <question type="truefalse">
    <name>
      <text>bibite gassate</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le bibite gassate contengono molti zuccheri</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: 210950  -->
  <question type="truefalse">
    <name>
      <text>sale</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Assumere troppo sale può causare danni alla salute (pressione alta e problemi cardiocircolatori)?</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: 210944  -->
  <question type="truefalse">
    <name>
      <text>vitamine</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le vitamine IDROSOLUBILI si accumulano nel nostro organismo e quindi non devono essere assunte giornalmente</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: 210943  -->
  <question type="truefalse">
    <name>
      <text>vitamine</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Le vitamine IDROSOLUBILI non si accumulano nel nostro organismo e quindi devono essere assunte giornalmente</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/Salute/Alimentazione seconde</text>
    </category>
    <info format="html">
      <text></text>
    </info>
  </question>

<!-- question: 210898  -->
  <question type="multichoice">
    <name>
      <text>colesterolemia</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Quale di queste due categorie di grassi aiuta ad abbassare la <b id="docs-internal-guid-77f15a1e-7fff-9c61-8819-d9b22ee01d7d">colesterolemia?</b></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>grassi saturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>grassi insaturi</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 210896  -->
  <question type="multichoice">
    <name>
      <text>Glucidi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>I Glucidi complessi (Polisaccaridi) si trovano soprattutto:</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>Farine di cereali e patate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>caramelle, torte e bevande zuccherate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

</quiz>