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Other literature type . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
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Évaluer à l'ère des IA : combattre la bête ou l'apprivoiser ?

Authors: Lez, Alexandra; Dubé, Esther; Beaulieu, Maryse;

Évaluer à l'ère des IA : combattre la bête ou l'apprivoiser ?

Abstract

Ce guide se veut un outil de réflexion sur l’impact de l’Intelligence artificielle (IA) sur les pratiques d’évaluation en contexte universitaire. Il s’adresse principalement au personnel enseignant et d'encadrement. Sous la métaphore de l’IA-dragon, le guide se divise en deux parties : combattre cette nouvelle bête ou apprivoiser celle-ci, spécifiquement dans le contexte de l’évaluation des apprentissages. D’un côté de la médaille, combattre l’IA ou la fuir. De l’autre côté, l’apprivoiser prudemment. Le guide vous propose des pistes de réflexion sur les enjeux sous-jacents à ces deux versants opposés. Nous espérons que ce guide sera utile pour nourrir votre réflexion sur l’usage de l’IA en enseignement universitaire et plus spécifiquement pour vos pratiques évaluatives. Pour consulter la version interactive de ce document : https://view.genially.com/642eee6826f943001210433e

Discipline : Éducation Format : Texte/HTML Type de la ressource : Objet d'apprentissage

Ressources éducatives libres REL Open Educational Resources OER

Related Organizations
Keywords

Engagement, Motivation, IAg, Pédagogie universitaire, Contraintes, Évaluation, Intelligence artificielle--Applications en éducation, Étudiants--Évaluation, Enseignement universitaire, Intelligence artificielle, Apprentissage, Apprentissage--Évaluation, Examen

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities