Title: An agent-based approach for personalised and adaptive learning

Authors: Smain Nasr-Eddine Bouzenada; Olivier Boissier; Nacer Eddine Zarour

Addresses: LIRE Laboratory, University Constantine 2, Constantine, Algeria ' Henri Fayol Institute, Ecole Nationale Supérieure des Mines, Saint-Etienne, France ' LIRE Laboratory, University Constantine 2, Constantine, Algeria

Abstract: Most of learning systems deliver the same learning materials when targeting the same learning unit. It turned out that the learning process could significantly be improved if learning content could be specifically personalised and adapted to individual learners' domain knowledge and capabilities. Few learning systems introduce teaching strategies to satisfy individual learners' requirements. In an attempt to overcome these limitations, we propose a multi-agent system, which is based on learning styles for its adaptability and on domain knowledge for its personalisation. In this paper, we describe the design and implementation of this multi-agent based learning system. In particular we discuss the learning resources collecting process, the personalised process and the adaptive process. The system has been tested through several functional experiments, and the analysis of the simulation study indicates that the approach is able to handle personalised and adaptive learning.

Keywords: multi-agent; e-learning; learning styles; teaching styles; learner's profile; adaptive learning; personalised learning.

DOI: 10.1504/IJTEL.2018.092701

International Journal of Technology Enhanced Learning, 2018 Vol.10 No.3, pp.184 - 201

Received: 13 Feb 2017
Accepted: 14 Jul 2017

Published online: 28 Jun 2018 *

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