Préparer les éducateurs à enseigner et à créer avec l’intelligence artificielle générative
DOI :
https://doi.org/10.21432/cjlt28606Mots-clés :
éducation à l’IA, littératie en IA, IA générative, conception pédagogique, formation des enseignantsRésumé
Les enseignants qui maîtrisent l’intelligence artificielle générative (IAG) voient leur productivité et leurs capacités d’enseignement augmenter. En cette période d’évolution rapide de l’IAG, il est nécessaire d’offrir aux enseignants de réelles possibilités d’apprentissage en ce sens afin qu’ils acquièrent la confiance et l’expertise nécessaires à l’utilisation créative et réfléchie de ces technologies. Cet article présente un cas de figure illustrant l’acquisition par des enseignants en formation initiale et en poste de connaissances, de compétences et de l’état d’esprit nécessaires pour enseigner et créer à partir des outils d’intelligence artificielle. Nous avons analysé le programme ainsi que le type d’enseignement et d’évaluation d’un cours de premier cycle en conception et production multimédia, avec l’objectif d’étudier les pratiques professionnelles à partir d’une méthode d’auto-évaluation. Trente-cinq enseignants ont participé à des activités d’apprentissage par l’expérience axées sur le développement d’une culture de l’intelligence artificielle (IA), parallèlement à une collaboration en vue de la rédaction d’un manuel en libre accès, intitulé Teaching and Creating With Generative Artificial Intelligence (Enseigner et créer avec l’intelligence artificielle générative). Le cadre SAIL (Student Artificial Intelligence Literacy) a été créé pour favoriser un accès équitable et inclusif aux avantages éducatifs offerts par l’IA. SAIL facilite l’apprentissage de l’intelligence artificielle grâce à une implication dans le programme d’études et à trois types d’interactions distinctes : cognitive, socioémotionnelle et guidée par l’enseignant. À partir des leçons tirées de la pandémie de COVID-19 concernant les problèmes de formation à la technologie des enseignants au Canada, cinq recommandations sont proposées pour faciliter l’intégration réelle de la connaissance de l’IA dans les programmes de formation des enseignants.
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© Paula MacDowell, Kristin Moskalyk, Katrina Korchinski, Dirk Morrison 2024
Cette œuvre est sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale 4.0 International.
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Les auteurs conservent le droit d'auteur et accordent le droit de la première publication de la revue avec le travail simultanément sous une licence Creative Commons Attribution - Pas d’Utilisation Commerciale 4.0 International (CC-BY-NC 4.0) qui permet aux autres de partager le travail avec une reconnaissance de la paternité de l'œuvre et la publication initiale dans ce journal.
