Appprentissage adaptatif temps réels par système multi-agent

Appprentissage adaptatif temps réels par système multi-agent

Azziz Anghour Myriam Lamolle  Farès Belhadj  Vincent Boyer 

LIASD-EA4383, Université Paris 8 – IUT de Montreuil 140 rue de la Nouvelle France, 93100 Montreuil, France

LIASD-EA4383, Université Paris 8 2 rue de la Nouvelle France, 93100 Montreuil, France

Corresponding Author Email: 
{anghour, myriam.lamolle}@iut.univ-paris8.fr; {amsi, boyer}@ai.univ-paris8.fr
Page: 
89-109
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DOI: 
https://doi.org/10.3166/ISI.23.2.89-109
Received: 
| |
Accepted: 
| | Citation

OPEN ACCESS

Abstract: 

In this paper, we present a new architecture of learning path generation and managing the learner’s progression in multi-users context for a real time collaboration between different learners. The generation implies two steps: 1) building a graph of learning objects according to their prerequisites and according to the learner progression in her/his learning path, 2) the recommendation of pedagogical resources associated to each graph node. Different criteria are proposed to select the relevant pedagogical resources in the scope of the learner’s profile, learner’s communities, and the appreciations of other learners about the available pedagogical ressourcez. These criteria are used to maximize a fitness function for the pedagogical ressources.

Keywords: 

adaptive learning, recommendation of pedagogical ressources, multi-usres context, web-based learning environment

1. Introduction
2. Modèle du système de connaissance
3. Architecture pour la création et le pilotage de parcours de formation en contexte multi-utilisateurs
4. Expérimentation
5. Plateformes pédagogiques adaptatives et apprentissage collaboratif
6. Conclusions et perspectives
Remerciements

Ce travail a été financé grâce au Fond Unique Interminitériel (FUI-15 projet Learning Café) et labellisé par Cap Digital et Imaginove.

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