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Évaluer des compétences : une articulation cubique

Authors: Gremion, Christophe; Talbot, Nadine;

Évaluer des compétences : une articulation cubique

Abstract

Depuis la mise en place de programmes centrés sur le développement des compétences, l'évaluation des apprentissages fait l'objet de nombreux questionnements de la part des acteurs des milieux de formation. Les questionnements se sont accentués depuis le virage obligé vers l’enseignement à distance en raison du contexte pandémique. Plusieurs enseignants témoignent de préoccupations grandissantes. Comment évaluer lorsque les élèves ne sont pas là? Comment vérifier qu’ils ne trichent pas et que ce sont bien leurs réponses qu’ils retournent? Le risque du plagiat augmente avec la distance alors que les évaluations constituées d’items à choix multiples (QCM) ou d’items à réponse courte sont favorisées par les outils numériques. Bien qu’ils facilitent les rétroactions en période d’enseignement à distance et diminuent le temps de correction, ces types d’items ne permettent pas d’évaluer tous les objets d’apprentissage visés. C’est bien là que le bât blesse. Évaluer des compétences ne se fera pas par QCM. Il devient essentiel de revenir à l’essentiel, soit comment évaluer les compétences, et ce, malgré la distance. Cet article propose une réflexion sur l’évaluation scolaire et présente un modèle de questionnements des visées de l’évaluation à distance.

Keywords

LC8-6691, Theory and practice of education, Information technology, T58.5-58.64, Special aspects of education, évaluation des compétences, enseignement à distance, enseignement présentiel, alignement pédagogique, LB5-3640

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selected citations
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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!
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