<link href="https://fonts.googleapis.com/icon?family=Material+Icons" rel="stylesheet"><link rel="stylesheet" href="https://unpkg.com/balloon-css/balloon.min.css">\
\
/* à faire à chaque publication :
-supprimer l'expression «initial-scale:1» en ligne 6
content="width=device-width, maximum-scale=1.0, user-scalable=no"
-copier dans le body en ligne 96 (dans le body)
<script src="https://cdn.statically.io/gh/zenorocha/clipboard.js/v2.0.4/dist/clipboard.min.js"></script>
-supprimer les caractères pour activer la ligne 634 clipboard
*/<<set $home = '<i class="material-icons"></i>'>>
<<set $college = '<i class="material-icons"></i>'>>
<<set $progression = '<i class="material-icons"></i>'>>
<<set $tentative = '<i class="material-icons"></i>'>>
<<set $scientifique = '<i class="material-icons"></i>'>>
<<set $consigne = '<i class="material-icons"></i>'>>
<<set $constat = '<i class="material-icons"></i>'>>
<<set $probleme = '<i class="material-icons"></i>'>>
<<set $hypothese = '<i class="material-icons"></i>'>>
<<set $document = '<span class="material-icons"></span>'>>
<<set $test = '<i class="material-icons"></i>'>>
<<set $tableau = '<i class="material-icons"></i>'>>
<<set $conclusion = '<i class="material-icons"></i>'>>
<<set $microscope = '<i class="material-icons"></i>'>>
<<set $star = '<i class="material-icons"></i>'>>
<<set $oral ='<i class="material-icons"></i>'>>
<<set $voca = '<i class="material-icons"></i>'>>
<<set $erreur = '<i class="material-icons"></i>'>>
<<set $attention ='<i class="material-icons"></i>'>>
<<set $good = '<i class="material-icons"></i>'>>
<<set $on ='<i class="icons-progression"></i>'>>
<<set $off ='<i class="icons-progression"></i>'>>
<<set $onoff ='<i class="icons-progression"></i>'>>
<<set $sain ='<i class="material-icons"></i>'>>
<<set $malade ='<i class="material-icons"></i>'>>
<<set $pere ='<span class="male">père</span>'>>
<<set $competence ='<span class="material-icons"></span>'>>
<<set $ecrire ='<span class="material-icons"></span>'>>
<<set $mere ='<span class="femelle">mère</span>'>>
<<set $fleche ='<span class="material-icons"></span>'>>
<<set $energie='<span class="material-icons"></span>'>>
<<set $check ='<i class="icons-progression"></i>'>>
<<set $mindmap ='<i class="material-icons"></i>'>>
<<set $histoire ='<i class="material-icons"></i>'>>
<<set $def ='<i class="material-icons"></i>'>>
<<set $graphique ='<i class="material-icons"></i>'>>
<<set $prof ='<i class="material-icons"></i>'>>
<<set $tips = "<span class='material-icons'>auto_fix_high</span>">>
<<set $niv0 ="<<include icon_graine>>">>
<<set $niv1 ="<<include icon_plantule>>">>
<<set $niv2 ="<<include icon_plante>>">>
<<set $niv3 ="<<include icon_super_plante>>">>
<<set $clef ='<i class="material-icons"></i>'>>
<<set $vittascience = "''V<span style='color:green'>i</span>ttaSc<span style ='color:green'>i</span>ence''">>➊
/* lien vers un autre onglet */
<a href = "url" onclick = "window.open(this.href); return false;" >nom du lien</a>
/* bouton avec icone, variable et passage */
<button class="essai" data-passage="Question_11" data-setter="$etape to 'conseil'">$test Link</button>
/*fenetre définition */
<span aria-label="nier, retirer" data-balloon-pos="up" style="text-decoration: underline dotted;">retracter</span><img width="440" src="data:image/png;base64,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"><div class="a"><<if $name is "non">>
<i class="material-icons"></i> ''Écrire son prénom.''
<<textbox "$name" "" autofocus>>
[[Commencer l'activité|nom]]
<<else>>
<<set $etape ="question"; $work = "home">>
<<goto [[$activite]]>>
<</if>></div> <<if $tuto is "question">>\
<<linkreplace "AIDE : rédiger une question scientifique">><<set $aide +=1>><div class="encadre">Si on est curieux, on peut observer des liens entre des élements de notre environnemnent (ou dans un document fourni par le professeur).
Afin de vérifier si le lien est véritable, on peut faire une ''démarche scientifique.''
La première étape de la démarche scientifique est de formuler une question scientifique. Cette question prendre la forme suivante :
<span style="color:blue"> «Est-ce que [paramètre A] a un effet sur [paramètre B] ? </span>
</div><</linkreplace>>\
<<elseif $tuto is "test">>\
<<linkreplace "AIDE : élaborer un protocole">><<set $aide +=1>><div class="encadre">Pour élaborer un protocole, il faut concevoir une comparaison entre deux tests. Entre les deux tests, il faut changer un seul paramètre. Le paramètre qui doit changer est le paramètre qui aurait un effet sur l'autre paramètre selon ton hypothèse. Tous les autres paramètres doivent être identiques.
➊ décrire la comparaison que tu comptes faire;
➋ préciser le matériel;
➌ indiquer ce que tu vas mesurer.</div><</linkreplace>>\
<<elseif $tuto is "moyenne">>\
<<linkreplace "AIDE : calculer une moyenne">><<set $aide +=1>><div class="encadre">''Comment calculer la moyenne de plusieurs valeurs ?''
➊ additionner toutes les valeurs.
➋ diviser la somme par le nombre de valeurs.
Par exemple, pour trouver la moyenne des valeurs 9 et 8, je fais la somme des valeurs :
<center><span style="color:blue">9 + 8 = 17</span></center>
Ensuite, je divise par la somme par 2 car j'avais 2 valeurs
<center><span style="color:blue"><div class="fraction"><span>17</span><span class="bar"></span><span class="fdn">2</span></div>= 8,5</span></center></div><</linkreplace>>
<<elseif $tuto is "tableau">>\
<<linkreplace "AIDE : construire un tableau">><<set $aide +=1>><div class="encadre">''Comment constuire et remplir un tableau ?''
➊ Dans la plupart des expériences, tu compares deux groupes. Il faut une colonne par groupe.
➋ Il faut une ligne par mesure. Si tu fais 2 mesures, il faut 2 lignes.
➌ Il faut penser à ajouter une ligne supplémentaire pour noter le titre des colonnes __et__ l'unité de mesure
➍ Il faut ajouter un titre au tableau. ''<span style="color:blue">[Paramètre que j'ai mesuré]</span> en fonction de <span style="color:blue">[Paramètre que j'ai changé entre les deux manipulations]</span>''
➎ Remplir les cases avec les valeurs.</div><</linkreplace>> \
<<elseif $tuto is "conclusion">>\
<<linkreplace "AIDE : rédiger une conclusion">><<set $aide +=1>><div class="encadre">Pour rédiger une conclusion, il faut respecter trois étapes :
➊ Je vois que <span style="color:blue">[comparer les résultats avec l'expression «plus/moins/autant» et en donnant des valeurs.</span>
➋ J’en déduis que <span style="color:blue">[écrire ce que cela t’apprends]</span>
➌ Donc l’hypothèse est <span style="color:blue">[écrire si elle est <span aria-label="vraie jusqu’à preuve du contraire" data-balloon-pos="up" style="text-decoration: underline dotted;">corroborée</span> ou <span aria-label="prouvée que c’est faux" data-balloon-pos="up" style="text-decoration: underline dotted;">réfutée</span>]</span></div><</linkreplace>>\
<<elseif $tuto is "interpréter">>\
<<linkreplace "AIDE : interpréter">><<set $aide +=1>><div class="encadre">Pour interpréter un document, il faut respecter deux étapes :
➊ Je vois que <span style="color:blue">[comparer les résultats avec l'expression «plus/moins/autant» et en donnant des valeurs.</span>
➋ J’en déduis que <span style="color:blue">[écrire ce que cela t’apprends]</span>
</div><</linkreplace>>\
<<elseif $tuto is "causalité">>\
<<linkreplace "AIDE : définir s'il y a causalité ou coïncidence">><<set $aide +=1>><div class="encadre">Pour rédiger une conclusion, il faut respecter trois étapes :
➊ Je vois que <span style="color:blue">[comparer les résultats avec l'expression «plus/moins/autant» et en donnant des valeurs.</span>
➋ J’en déduis que <span style="color:blue">[écrire ce que cela t’apprends]</span>
➌ Donc la corrélation est <span style="color:blue">[ <span aria-label="le paramètre A a bien un effet sur le paramètre B" data-balloon-pos="up" style="text-decoration: underline dotted;">causalité</span> ou <span aria-label="les paramètres A et B ont évolué de la même façon par hasard." data-balloon-pos="up" style="text-decoration: underline dotted;">coïncidence</span>]</span></div><</linkreplace>>\
<<elseif $tuto is "diagramme">>\
<<linkreplace "AIDE : tracer un diagramme">><<set $essai +=1>>
<div class="note">❶ Sur l'axe vertical <i class="material-icons"></i>, on indique le paramètre qui est mesuré lors de l'expérience.
❷ Sur l'axe horizontal <i class="material-icons"></i>, on indique le paramètre qui change entre les groupes
❸ Place les points sur les graphiques
❹ Utilise les points pour faire un graphique à barre <i class="material-icons"></i> ou un graphique à courbe <i class="material-icons"></i>. Les graphiques à barre permettent de comparer tandis que les graphiques à courbe permettent de voir les variations d'un paramètre au cours du temps.
❺ Ajoute ''les'' titres.</div><</linkreplace>>\
<<linkreplace "<i class='material-icons'></i> Grand coup de pouce">><<set $essai +=100>>
<div class="note">❶ Sur l'axe vertical <i class="material-icons"></i>, tu représenteras le nombre de neurotransmetteur. Tu iras de 50 en 50 à chaque carreau.
❷ Sur l'axe horizontal <i class="material-icons"></i>, tu représenteras les deux conditions : avec ou sans entraînement.
❹ Place les points.
❺ Comme on compares avec ou sans entrainement, il faut faire un graphique à barre <i class="material-icons"></i>. Une barre pour indiquer le nombre de neurotransmetteurs avec entrainement et une barre pour indiquer le nombre de neurotransmetteurs sans entrainement.
❻ Donne un titre à l'axe vertical.
❻ Donne un titre au graphique. Le titre du graphique a la forme suivante : <span style="color:blue">//paramètre de l'axe vertical//</span> en fonction de <span style="color:orange">//paramètre de l'axe horizontal//</span> </div>
<</linkreplace>>\
<</if>><div class="progression">\
<<if $parcours >= 1>><button class="progression" data-passage="$lecon + '1'" data-setter="$etape to 'question'">$on</button><</if>>\
<<if $parcours >= 2 and $parcours_max >=2>><button class="progression" data-passage="$lecon + '2'" data-setter="$etape to 'question'">$on</button><<set $chap2 = $parcours>><<elseif $parcours_max >=2>><button class="progression">$off</button><<else>><</if>>\
<<if $parcours >= 3 and $parcours_max >=3>><button class="progression" data-passage="$lecon + '3'" data-setter="$etape to 'question'">$on</button><<set $chap2 = $parcours>><<elseif $parcours_max >=3>><button class="progression">$off</button><<else>><</if>>\
<<if $parcours >= 4 and $parcours_max >=4>><button class="progression" data-passage="$lecon + '4'" data-setter="$etape to 'question'">$on</button><<set $chap2 = $parcours>><<elseif $parcours_max >=4>><button class="progression">$off</button><<else>><</if>>\
<<if $parcours >= 5 and $parcours_max >=5>><button class="progression" data-passage="$lecon + '5'" data-setter="$etape to 'question'">$on</button><<set $chap2 = $parcours>><<elseif $parcours_max >=5>><button class="progression">$off</button><<else>><</if>>\
<<if $parcours >= 6 and $parcours_max >=6>><button class="progression" data-passage="$lecon + '6'" data-setter="$etape to 'question'">$on</button><<set $chap2 = $parcours>><<elseif $parcours_max >=6>><button class="progression">$off</button><<else>><</if>>\
<<if $parcours >= 7 and $parcours_max >=7>><button class="progression" data-passage="$lecon + '7'" data-setter="$etape to 'question'">$on</button><<set $chap2 = $parcours>><<elseif $parcours_max >=7>><button class="progression">$off</button><<else>><</if>>\
<<if $parcours >= 8 and $parcours_max >=8>><button class="progression" data-passage="$lecon + '8'" data-setter="$etape to 'question'">$on</button><<set $chap2 = $parcours>><<elseif $parcours_max >=8>><button class="progression">$off</button><<else>><</if>>\
<<if $parcours >= 9 and $parcours_max >=9>><button class="progression" data-passage="$lecon + '9'" data-setter="$etape to 'question'">$on</button><<set $chap2 = $parcours>><<elseif $parcours_max >=9>><button class="progression">$off</button><<else>><</if>>\
</div>\<<silently>><<include variable_icone>><<set $essai = 0; $Q1 =""; $Q2 =""; $Q3 =""; $Q4=""; $Q5=""; $Q6=""; $Q7 =""; $essai =0; $QBonus =""; $aide ="non"; $name = "non"; $code =""; $bonus = "non"; $titre_general =""; $titre_vertical=""; $titre_horizontal="">><<set $A1=""; $A2=""; $A3="";$A4="";$A5=""; $B1=""; $B2=""; $B3="";$B4="";$B5=""; $C1=""; $C2=""; $C3="";$C4="";$C5=""; $D1=""; $D2=""; $D3="";$D4=""; $E1=""; $E2=""; $E3="";$E4=""; $optA =""; $optB ="";$optC ="";$optD ="";$optE ="";$optF =""; $laps = "2s"; $work = "class">><<set $choix=""; $chap2 = 10; $numeroQ=1; $score=0; $faute=0; $etape="question"; $alea to random(1,4)>><</silently>>\
<div class="a">\
<span style="color:#66bb6a">''LEÇON : Comprendre L'effet de serre''</span>
<<set $lecon = 10; $parcours_max =9; $parcours =0>>
<i class="material-icons"></i> ''LES OBJECTIFS DE LA LEÇON''
<span class="material-icons"></span> Comprendre le fonctionnement du climat.
<span class="material-icons"></span> Utiliser des micro-contrôleurs et programmer.
<button class="button" style="text-align:left" data-passage="nom" data-setter="$activite to '101'; $etape to 'intro'">Démarrer.</button>
</div>
<div class="pied_page" >Guillaume Berthelot - février 2024
//Licence CC BY-NC-SA//</div>
<<set $parcours =1>><<include progression>><<if $etape =="intro">><div class="a">\
>En cinquième, tu as étudié le climat. Tu as notamment découvert que la Terre était divisée en grandes zones climatiques : polaire, tempérée, chaude.
>
>Par ailleurs, tu as vu que la Terre était chauffée par le rayonnement solaire.
<<include schema_climat_0>>
➊ rayonnement solaire
<span style="font-size:11px">note : La distance entre la planète et le Soleil ne sont pas correcte sur le schéma.</span>
</div><div class="b">
Tu vas maintenant approfondir tes connaissance sur le fonctionnement du climat. En effet, celui-ci est plus complexe en réalité.
[[J'ai compris ce que j'allais faire|101][$etape = "question"]]</div>
<<elseif $etape is "question">><div class="a">
>Lis le document ci-dessous puis répond aux questions.
$document ''Fonctionnement simplifié du climat''
<div class="encadre"><<include schema_climat_1>>
➊ Le Soleil émet de la lumière qui chauffe le sol de la planète : c'est le ''R''ayonnement ''S''olaire.
➋ Puisque le sol est chaud, il émet un rayonnement thermique en direction de l'atmosphère : c'est le ''R''ayonnement ''T''errestre.
➌ L'atmosphère se réchauffent à cause du ''R''ayonnement ''T''errestre. Les gaz de l'atmosphère vont émettre à leur tour un rayonnement thermique vers le sol et l'espace. C'est le ''R''ayonnement ''A''tmosphérique.</div>\
</div><div class="b">
''Seule le rayonnement solaire chauffe la surface de la Terre.''
<label class="container"><<radiobutton "$optA" 0 autocheck>><span class="checkmark"></span>vrai</label>
<label class="container"><<radiobutton "$optA" 1 autocheck>><span class="checkmark"></span>faux</label>
''La Terre émet un rayonnement thermique vers l'atmosphère.''
<label class="container"><<radiobutton "$optB" 1 autocheck>><span class="checkmark"></span>vrai</label>
<label class="container"><<radiobutton "$optB" 0 autocheck>><span class="checkmark"></span>faux</label>
''L'atmosphère émet un rayonnement thermique vers la surface de la Terre.''
<label class="container"><<radiobutton "$optC" 1 autocheck>><span class="checkmark"></span>vrai</label>
<label class="container"><<radiobutton "$optC" 0 autocheck>><span class="checkmark"></span>faux</label>
''Le rayonnement thermique terrestre «rebondit» sur l'atmosphère et revient vers la surface de la Terre''
<label class="container"><<radiobutton "$optD" 0 autocheck>><span class="checkmark"></span>vrai</label>
<label class="container"><<radiobutton "$optD" 1 autocheck>><span class="checkmark"></span>faux</label>
[[Vérifier la réponse|101][$etape ="conseil"]]</div>
<<elseif $etape =="conseil">><div class="b">
<<if ($optA + $optB + $optC + $optD) is 4>>\
$good Bonne réponse.
[[Poursuivre la leçon.|102][$etape = "question"; $optA=""; $optB=""; $optC =""; $optD =""]]
<<else>>\
$erreur Mauvaise réponse.
[[Recommencer la question.|101][$etape = "question"]]
<</if>></div>
<</if>><<set $parcours =2>><<include progression>><<if $etape =="question">><div class="a">\
<div class="encadre">
<<include schema_climat_1>>
La Terre (➋) et l'atmosphère (➌) émettent un rayonnement thermique lorsqu'elles sont réchauffées.
Or tu sais déjà qu'un objet très chaud émet un rayonnement thermique. Par exemple, lorsque tu passes devant un four ou un barbecue, tu «sens» le rayonnement thermique.
Mais est-ce qu'un objet moins chaud (inférieure à 30°C) tel que la Terre ou l'atmosphère émet aussi un rayonnement thermique ?</div>
</div><div class="b">
$probleme QUESTION : Est-ce qu'un objet tel que la Terre ou l'atmosphère avec une température inférieure à 30 °C émet un rayonnement thermique ?
$test PROTOCOLE
>Imagine un protocole pour répondre à la question.
<div class="note">''Matériels :''
objet à température ambiante (20°C) - objet chaud (plus de 30 °C)
capteur de rayonnement thermique - émetteur de rayonnement thermique
$erreur //Un matériel est inutile pour le protocole.//</div>
<<textarea "$Q2" $Q2>>
[[Vérifier la réponse|102][$etape = "conseil"]]
<<set $tuto = "protocole">><<include tutoriel>></div>
<<elseif $etape =="conseil">><div class="b">
Mon protocole : ''<<print $Q2>>''
<<if $Q2.count("ompa") is 0 or $Q2.count("bje") is 0 or $Q2.count("apt") is 0>>CONSEIL :
<<if $Q2.count("ompa") is 0>>- Dans une expérience, il faut toujours faire une ''comparaison''.<</if>>
<<if $Q2.count("bje") is 0>>- Tu as besoin d'utiliser des ''objets''''.<</if>>
<<if $Q2.count("apt") is 0>>- Pour détecter le rayonnement thermique, as-tu besoin d'un ''capteur'' ou d'un ''émetteur'' ?<</if>>
[[Améliorer mon protocole.|102][$etape = "question"]]
<<else>>$good La réponse contient les bons mots-clés. Elle devra être vérifiée par le professeur.
[[Améliorer mon protocole.|102][$etape = "question"]]
[[Poursuivre la leçon.|103][$etape = "question"]]
<</if>></div>
<</if>><<set $parcours =3>><<include progression>><<if $etape =="question">><div class="a">\
Pour mettre en œuvre ton protocole, tu as besoin d'un capteur de rayonnement thermique. ''Et c'est toi qui va le fabriquer !''
<div class="note">''NOTICE DE MONTAGE''
- Récupère une carte ''ARDUINO'', une led GROVE, une capteur PIR, un cable usb et deux cables grove.
- Connecte la led au port D8 de la carte ARDUINO avec un cable.
<span style="color:red">$erreur Attention à bien respecter le matériel. Les connecteurs blancs doivent être enfoncé dans le bon sens.</span>
- Connecte le capteur PIR au port D2 de la carte ARDUINO avec le second cable grove.
- Connecte le microcontrôleur au port USB de l’ordinateur.</div>
</div><div class="b">
<<include photo_montage_microcontroleur>>
>Réalise le montage en suivant les consignes.
[[J'ai fini le montage|104]]</div><</if>><<set $parcours =5>><<include progression>><<if $etape =="question">><div class="a">\
On souhaite maintenant améliorer le programme.
<div class="code"><span class="material-icons">terminal</span> ''Fonctionnement à programmer''
<<type 30ms>>La led du capteur s'allume durant 1 seconde lorsque le capteur détecte un rayonnement thermique.<</type>></div>
>Ouvre le logiciel de programmation sur $vittascience.
>
>Assemble les 5 blocs disponibles pour que le programme déclenche l'allumage de la led au bon moment et pendant la bonne durée.
<span style="color:red">$erreur Tu ne dois pas modifier le contenu des blocs. Seulement les placer dans le bon ordre.</span>
</div><div class="b">
<a href = "https://fr.vittascience.com/arduino/?link=65c39cbf1a84c" onclick = "window.open(this.href); return false;" >Clique ici pour ouvrir le logiciel de programmation</a>
>$prof Appelle le professeur pour vérifier ton programme
[[Continuer la leçon|106][$etape="question"]]
</div><</if>><<set $parcours =4>><<include progression>><<if $etape =="question">><div class="a">\
>Tu as fabriquer un capteur mais celui-ci ne fonctionne pas car il n'y a aucun programme qui lui dit comment fonctionner.
<div class="code"><span class="material-icons">terminal</span> ''Fonctionnement à programmer''
<<type 30ms>>Le capteur doit mesurer en continu la présence d'un rayonnement thermique toutes les 200 ms et envoyer cette valeur sur la console.<</type>></div>
En programmation, une console est un système qui permet de communiquer entre une personne et une machine. Dans notre cas, la console est l'ordinateur et le logiciel $vittascience.
</div><div class="b">
>Complète le programme ci-dessous pour que le capteur fonctionne correctement.
<div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include programme_à_compléter>>\
<div id="Layer2" style="position:absolute; left:20px; top:26px; z-index:2"><span class="box"><<listbox "$optA" autoselect>><<option "???">><<option "Au démarrage">><<option "Répéter indéfiniment">><</listbox>></span></div>\
<div id="Layer3" style="position:absolute; left:380px; top:90px; z-index:3"><span class="box"><<listbox "$optB" autoselect>><<option "???">><<option "D2">><<option "D8">><<option "usb">><</listbox>></span></div>\
<div id="Layer4" style="position:absolute; left:115px; top:58px; z-index:4"><span class="box"><<listbox "$optC" autoselect>><<option "???">><<option "millisecondes">><<option "secondes">><<option "minutes">><</listbox>></span></div>\
</div>
[[Vérifer la réponse|104][$etape="conseil"]]</div>
<<elseif $etape is "conseil" >><div class="b">
<<if $optA is "Répéter indéfiniment" and $optB is "D2" and $optC is "millisecondes">>$good Bonne réponse
[[Poursuivre la leçon|105][$etape = "question"]]
<<else>>
<<if $optA neq "Répéter indéfiniment">>On souhaite que le capteur fonctionne en permanence. Il faut donc que le programme fonctionne en permanence et pas seulement au démarrage de l'appareil.<</if>>
<<if $optB neq "D2">>Tu as monté le capteur PIR sur la broche D2 et non sur la broche D8. En effet, c'est la LED qui est connecté à la broche D8.<</if>>
<<if $optC neq "millisecondes">>Tu souhaites mesurer le rayonnement thermique toutes les 200 ''ms''.<</if>>
<<timed 3s t8n>>[[Recommencer la question|104][$etape= "question"]]<</timed>>
<</if>></div>
<</if>>
<<set $parcours =6>><<include progression>><<if $etape =="question">><div class="a">\
>Ton capteur est maintenant fini et fonctionnel. Il faut maintenant «installer» le programme dans le capteur pour qu'il puisse fonctionner.
<div class="note">Pour installer le programme, on dit que l'on ''téléverse''. C'est très simple : il suffit de cliquer sur le bouton <span class="material-icons">electric_bolt</span>''Téléverser''.
Une fenetre pop-up va s'ouvrir alors. Sélectionne la carte arduino et valide pour faire le transfert.</div>
> Vérifie que ton capteur fonctionne bien. Passe la main devant et regarde si la led s'allume.
</div><div class="b">
<div class="encadre">$erreur Le capteur thermique ne mesure pas //vraiment// le rayonnement thermique. Il est seulement capable de «détecter» si un objet émet plus de rayonnement thermique que le décor.
On va donc utiliser un «bloc de froid» <span class="material-icons">ac_unit</span> pour avoir un décor plus froid que les objets que l'on va mesurer. Tu devras passer les objets entre le capteur et le «bloc de froid».</div>
<<include photo_montage_carton>>
[[Je suis prêt pour faire les mesures|107][$etape = "question"]]
</div><</if>><img width="460" 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"><img 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"><img 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"><img 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" usemap="#programme"><img width="460" 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"><table class="tableur" width="460">
<tr>
<th>objet</th>
<th>rayonnement thermique</th>
</tr>
<tr>
<td>objet à température inférieure à 20°C</td>
<td><<if passage() is "107">><span class="smalltab"><<textbox "$B1" $B1>></span><<else>>$B1<</if>></td>
</tr>
<tr>
<td>objet avec une température supérieure à 30°C</td>
<td><<if passage() is "107">><span class="smalltab"><<textbox "$B2" $B2>></span><<else>>$B2<</if>></td>
</tr>
</table>\<<set $parcours =8>><<include progression>><<if $etape =="question">><div class="a">\
>Au début de la leçon, tu as découvert le fonctionnement simplifié du climat.
<<include schema_climat_1>>
>Tu devais alors vérifier si la Terre et l'atmosphère pouvait effectivement émettre un rayonnement thermique.
</div><div class="b">
$probleme QUESTION : Est-ce qu'un objet tel que la Terre et l'atmosphère avec une température inférieure à 30 °C peuvent émettre un rayonnement thermique ?
>À partir des résultats de ton expérience, répond à la question.
$document ''Rayonnement thermique en fonction de la température''.
<<include table_rayonnement_thermique>>\
<<textarea "$Q8" $Q8>>
[[Vérifier la réponse|108][$etape = "conseil"]]
<<set $tuto = "interpréter">><<include tutoriel>></div>
<<elseif $etape =="conseil">><div class="b">
Ma conclusion : ''<<print $Q8>>''
<<if $Q8.count("voi") is 0 or $Q8.count("dui") is 0 or $Q8.count("ermi") is 0 or $Q8.count("atmo") is 0>>CONSEIL :
<<if $Q8.count("voi") is 0>>Dans ta conclusion, tu dois décrire les résultats. ''Je vois que...''<</if>>
<<if $Q8.count("dui") is 0>>- Tu dois ensuite en déduire quelque chose. ''J'en déduis que...''<</if>>
<<if $Q8.count("ermi") is 0>>- Tu dois utiliser le mot ''rayonnement thermique'' dans ta réponse.<</if>>
<<if $Q8.count("atmo") is 0>>- Tu dois utiliser le mot ''atmosphère'' pour répondre à la question.<</if>>
[[Améliorer ma conclusion.|108][$etape = "question"]]
<<else>>$good La réponse contient les bons mots-clés. Elle devra être vérifiée par le professeur.
[[Améliorer ma conclusion.|108][$etape = "question"]]
[[Finir la leçon.|109][$etape = "question"]]
<</if>></div>
<</if>><<set $parcours =9>><<include progression>><<if $etape =="question">><div class="a">\
<<if $essai is 0>>Bravo : tu as fini l'activité sans aucune aide<<elseif $essai >3>>Même si tu as utilisé $essai aides, tu as réussi l'activité. <<else>>Bien joué, tu as fini l'activité en utilisant $essai aide<<if $essai >1>>s<</if>>.<</if>>
<div class="encadre"><table width="460px"><tr><td width="20%" style="border:none"><img src="https://app.pix.fr/images/pix-logo.svg" width="60px"></td><td style="border:none; text-align:left">Tu as appris à développer un programme pour
répondre à un problème à partir d’instructions simples d’un langage de
programmation. Tu devrais maintenant pouvoir atteindre le niveau 3 pour la compétence ''Programmer'' dans PIX.</td></tr></table></div>
<div class="encadre">''À RETENIR :''
''Le fonctionnement simplifié du climat :'' La surface de la Terre se réchauffe grâce au rayonnement solaire. La surface émet alors un rayonnement thermique qui réchauffe l'atmosphère. L'atmosphère étant réchauffé, elle émet à son tour un rayonnement thermique qui va réchauffer une seconde fois la surface de la planète. Le fait que l'atmosphère émet un rayonnement thermique vers la surface de la Terre est appelée ''effet de serre''.</div>
>- Clique sur le bouton pour copier ton travail;
>- Ouvre la messagerie ENT;
>- Colle ton travail dans un message;
>- Envoie le message à ton professeur.
[[Revenir au menu|DEBUT]]
</div><div class="b">
<button data-clipboard-target="#input1">COPIER MON TRAVAIL</button>
<<set $id = 'zero02' + $name + 'essai' + $essai>><div type="text" id="input1">\
🔑 ID. UNIQUE : <<print rot($id)>>
PRÉNOM : $name
''CHAPITRE 2 - ACTIVITÉ BONUS : influence des océans sur le climat''
J'ai approfondi mes connaissances sur le fonctionnement du climat. J'oai notamment découvert que l'atmosphère émettait un rayonnement thermique qui réchauffait le sol de la planète une seconde fois.
QUESTION : Est-ce qu'un objet tel que la Terre ou l'atmosphère avec une température inférieure à 30 °C émet un rayonnement thermique ?
PROTOCOLE : J'ai proposé un protocole pour chercher des preuves afin de répondre à la question.
''<<print $Q2>>''
TEST : Pour réaliser le protocole, j'ai constuit un capteur de rayonnement thermique à l'aide d'une carte électronique arduino. J'ai ensuite programmé le code pour que le capteur fonctionne correctement.
J'ai alors pu faire les mesures.
RÉSULTATS :
<<include table_rayonnement_thermique>>
INTERPRÉTATION :
''<<print $Q8>>''
</div><</if>><img 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"><<set $parcours =7>><<include progression>><<if $etape =="question">><div class="a">\
<div class="note">''PROTOCOLE''
➊ Passe ta main chaude lentement devant le capteur.
➋ Observe si la LED s'allume
➌ Fais la même chose avec un objet à 20°C
<span style="color:red">$erreur Ta main ne doit pas passer devant le capteur.</span>
➍ Note les résultats dans le tableau.
</div>
</div><div class="b">
>Complète le tableau ci-dessous.
<center>Présence ou absence de rayonnement thermique dans différentes situations</center>\
<<include table_rayonnement_thermique>>
[[Continuer la leçon|108][$etape = "question"; $Q8 = ""]]
</div><</if>>