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Tour d'horizon des systèmes d'apprentissage adaptatifs et collaboratifs

Abstract : In an adaptive recommender system, the three models of learning resources, knowledge and learners define the essential components of an adaptive system. adaptive system. Beyond the learning mode (individual and/or collaborative), the modeling of user profiles and learning resources of a training domain represent essential parameters for the realization of the adaptation to a user in order to recommend relevant learning resources and to personalize more finely a learning path for a single user in individual mode, but also for a group of users during the synchronization of events in collaborative mode. In this paper, after an overview of the existing adaptive e-learning, we propose an architecture for the management of this type of adaptive learning or even collaborative learning based on ontologies and orchestrated by a multi-agent system. The latter is responsible for the management of learning paths, the recommending learning paths in collaborative or non-collaborative mode through communication between the different agents involved and the management of events captured by the system.
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Submitted on : Tuesday, August 24, 2021 - 12:58:13 AM
Last modification on : Thursday, May 5, 2022 - 3:00:11 PM


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  • HAL Id : hal-03322271, version 2


Massra Sabeima, Myriam Lamolle, Mohamedade Farouk Nanne. Tour d'horizon des systèmes d'apprentissage adaptatifs et collaboratifs. 2021. ⟨hal-03322271v2⟩



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