Massra Sabeima ; Myriam Lamolle ; Azziz Anghour ; Mohamedade Nanne - Towards a semantic platform for adaptive and collaborative e-learning

arima:8396 - Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, January 10, 2023, Volume 37 - 2022 - https://doi.org/10.46298/arima.8396
Towards a semantic platform for adaptive and collaborative e-learning

Authors: Massra Sabeima ; Myriam Lamolle ; Azziz Anghour ; Mohamedade Nanne

    In the world of e-learning, learning systems have sought to adapt the user's profile and the content offered to them. However, from the point of view of collaboration between learners based on adaptation to the learner profile, this adaptation has not been sufficiently explored as an important aspect of the e-learning process. Adaptation will allow users with similar or very similar profiles to be grouped together to learn in harmony while maintaining motivation and commitment to learning. This should increase the success rate of learners. This will also allow us to reuse learning paths with good success rates for future recommendations to users with the same profile. In this paper, we focus on this aspect and propose a learning system that controls learning paths adapted to the users' profile and that allows collaborative learning of users in a synchronous way. After an overview of the existing work in the field of adaptive e-learning, we propose an architecture for the piloting of this type of collaborative adaptive learning based on ontologies and orchestrated by a multi-agent system. The latter is responsible for the piloting of learning paths, the recommendation of paths in collaborative or non-collaborative mode through communication between the different agents involved, and the management of events captured by the system.


    Volume: Volume 37 - 2022
    Published on: January 10, 2023
    Accepted on: November 16, 2022
    Submitted on: August 27, 2021
    Keywords: E-learning,adaptive learning,multi-agent systems,collaborative learning,personalization of learning path,ontologies,ontologies,E-learning,apprentissage adaptatif,système multi-agents,apprentissage collaboratif,personnalisation de parcours,[INFO.EIAH]Computer Science [cs]/Technology for Human Learning,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI],[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO],[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA],[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]

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