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Les Teaching Analytics pour l'auto-évaluation par analyse comportementale de l'enseignant sur un LMS

Abstract : In recent years, the use of learning management systems (LMS) has grown considerably. However, many teachers find it very difficult to design relevant learning for their students. To this end, It is necessary for the teacher to be able to engage in a learning activity in order to improve his use of the LMS. In this context, this article proposes a study of teachers’ behavior on an LMS, to allow them to assess and position themselves in relation to their peers. We propose a model with four axes to describe the behavior of the teacher on an LMS, derived from empirical and theoretical models. Using this model, we then study the behavioral structures of teachers in order to identify profiles that can be used for self-assessment.
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https://hal.archives-ouvertes.fr/hal-03349804
Contributor : Ibtissem Bennacer Connect in order to contact the contributor
Submitted on : Monday, September 20, 2021 - 5:49:41 PM
Last modification on : Wednesday, September 22, 2021 - 3:17:20 AM

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Ibtissem Bennacer, Rémi Venant, Sébastien Iksal. Les Teaching Analytics pour l'auto-évaluation par analyse comportementale de l'enseignant sur un LMS. 10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain La conférence pluridisciplinaire francophone sur la conception et l’analyse des environnements numériques pour l’éducation et la formation, Jun 2021, Fribourg, Suisse. ⟨hal-03349804⟩

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