{"id":3241,"date":"2020-12-15T09:34:23","date_gmt":"2020-12-15T08:34:23","guid":{"rendered":"https:\/\/learninglab.inria.fr\/?page_id=3241"},"modified":"2021-03-23T13:43:04","modified_gmt":"2021-03-23T12:43:04","slug":"module-2-iai-contenus","status":"publish","type":"page","link":"https:\/\/learninglab.inria.fr\/en\/module-2-iai-contenus\/","title":{"rendered":"Module-2-IAI-contents"},"content":{"rendered":"

[Back to presentation<\/a>]<\/p>\n

Boosted with AI! Machine learning and data<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

2.1\u00a0To question yourself: AI in all its aspects?<\/h3>\n

 <\/th>\n<\/tr>\n

<\/td>\n\"\"<\/a><\/td>\nIntroduction video<\/strong>
\nThrough Guillaume’s questioning, develop critical thinking, including to\u00a0assertions so-called scientific\u00a0(or made by scientists)<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nText<\/strong><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nTo initiate a differentiation between recognition and prediction systems, and to explore the notion of supervised learning<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nPedagogical activity<\/strong><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nActivity sheet for classroom use, based on the previous videos and text resources to visualise all the areas that are already impacted by AI.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nSources and additional links<\/strong><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nResources used to design the activities and to go further<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nForum<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

2.2 To experiment: Let’s play with data<\/h3>\n

 <\/th>\n<\/tr>\n

<\/td>\n\"\"<\/a><\/td>\nVideo Tutorial Module\u00a02<\/strong>
\n\"video<\/a>
\nPractical activity to train an image recognition algorithm with different sets of intentionally biased data<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nPlay with the machine’s neurons: Tensor Flow <\/strong>
\nPresentation of the Tensor Flow software to build artificial neural networks and test their responses (with different types of problems and data)<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nGame: play with data<\/span><\/strong><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nEducational game that is based on the “To experiment” tutorial in Module 2 to help children aged 7 to 12 understand how AI works, the notions of bias and datasets, and to help them recontextualise the uses of AI, what it can and cannot do<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nClass’Code\u00a0activity sheets<\/strong>
\n4 short activity sheets for easy implementation:<\/p>\n
    \n
  • Machine Learning<\/li>\n
  • When a machine learns to play the game of nim<\/li>\n
  • Hexapion, a matchbox machine that teaches you to play<\/li>\n
  • Machine Learning and Big Data<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nForum<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.3 To discover: machine learning and data?<\/h3>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\n\"\"<\/a><\/td>\nIn-depth video<\/strong><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nFollowing his questions, Guillaume went in search of answers. He shares us what he has learned with the help diagrams and video documents.<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nTo go further<\/strong><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nText from the Inria AI White Paper\u00a0<\/strong>
\n
\n\"image<\/a>Scientific articles or extracts from research documents to deepen and nourish the reflection<\/p>\n
    \n
  • Artificial intelligence and human thought, Magarida Romero<\/li>\n
  • Inria White Paper: AI, remarkable achievements<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nSources and additional links<\/strong><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nResources used to design the activities and to go further<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nForum<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

2.4 To debate: AI, a tool to serve the education<\/h3>\n

 <\/p>\n\n\n\n\n
<\/td>\n\"\"<\/a><\/td>\nVideo of conferences on AI and Education<\/strong>
\n\"webinaire<\/a>Conferences and webinars – Live Chat on AI and education<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nForum<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.5 Quiz Module 2<\/h3>\n

 <\/p>\n\n\n\n\n\n
<\/td>\n\"\"<\/a><\/td>\nQuiz <\/strong><\/td>\n<\/tr>\n
<\/td>\n<\/td>\n6 quiz questions containing feedback with theoretical clarifications to better review what has been seen before.<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nForum<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.6\u00a0AI to play with!<\/h3>\n

 <\/p>\n\n\n\n\n
<\/td>\n\"\"<\/a><\/td>\n5 questions on the applications or fun applications seen in Module 2 to help to understand through manipulation.<\/td>\n<\/tr>\n
<\/td>\n\"\"<\/a><\/td>\nForum<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/h2>\n

<\/h2>\n

 <\/p>","protected":false},"excerpt":{"rendered":"

[Back to presentation] Boosted with AI! Machine learning and data 2.1\u00a0To question yourself: AI in all its aspects?   Introduction video Through Guillaume’s questioning, develop critical thinking, including to\u00a0assertions so-called scientific\u00a0(or made by scientists) Text To initiate a differentiation between recognition and prediction systems, and to explore the notion of\u2026<\/p>\n

Read more<\/i><\/a><\/p>\n","protected":false},"author":38,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"twitterCardType":"summary_large_image","cardImageID":0,"cardImage":"","cardTitle":"","cardDesc":"","cardImageAlt":"","cardPlayer":"","cardPlayerWidth":0,"cardPlayerHeight":0,"cardPlayerStream":"","cardPlayerCodec":"","footnotes":""},"class_list":["post-3241","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/learninglab.inria.fr\/en\/wp-json\/wp\/v2\/pages\/3241","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/learninglab.inria.fr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/learninglab.inria.fr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/learninglab.inria.fr\/en\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/learninglab.inria.fr\/en\/wp-json\/wp\/v2\/comments?post=3241"}],"version-history":[{"count":27,"href":"https:\/\/learninglab.inria.fr\/en\/wp-json\/wp\/v2\/pages\/3241\/revisions"}],"predecessor-version":[{"id":3645,"href":"https:\/\/learninglab.inria.fr\/en\/wp-json\/wp\/v2\/pages\/3241\/revisions\/3645"}],"wp:attachment":[{"href":"https:\/\/learninglab.inria.fr\/en\/wp-json\/wp\/v2\/media?parent=3241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}