MAGAM : un modèle générique pour l'adaptation multi-aspects dans les EIAH

Abstract : Adaptation in learning environments can follow various aspects, such as didactics, pedagogy, game mechanics or context. While most current approaches propose to adapt according to a single aspect, this paper proposes a Multi-Aspect Generic Adaptation Model (MAGAM). This model is based on the Q-matrix. It aims at taking into account heterogeneous data to select adapted activities. It has been implemented and used into an experiment which allowed the adaptation of learning activities for 97 students based on both knowledge and gaming profiles. This experiment has shown the usefulness of MAGAM to combine various aspects of adaptation in ecological conditions
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01517137
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Submitted on : Wednesday, March 20, 2019 - 7:25:04 PM
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  • HAL Id : hal-01517137, version 1

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Baptiste Monterrat, Amel Yessad, François Bouchet, Elise Lavoué, Vanda Luengo. MAGAM : un modèle générique pour l'adaptation multi-aspects dans les EIAH. Environnements Informatiques pour l'Apprentissage Humain, Jun 2017, Strasbourg, France. pp.29-40. ⟨hal-01517137⟩

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