Title: A multi-agents system to compute human learning indicators activities based on model-driven engineering approach

Authors: Tarek Djouad; Mohammed Benmohammed

Addresses: ICOSI Laboratory, Department of Mathematics and Computer Science, Faculty of Sciences and Technologies, Abbes Laghrour Khenchela University, Algeria ' LIRE Laboratory, Department of Software Technologies and Information Systems, Faculty of New Technologies of Information and Communication, Abdelhamid Mehri Constantine 2 University, Algeria

Abstract: This paper presents a multi-agent architecture and its implementation for facilitating the evaluation of learners' activities in real learning situations mediated by a technology enhanced learning systems. Our proposal is based on model-driven engineering using modelled activity traces to compute human learning indicators. We claim this approach facilitates the computation, the management and the reuse of learning indicators independently of any learning platform.

Keywords: activity traces; human learning indicators; model-driven engineering; multi-agents systems; technology enhanced learning systems.

DOI: 10.1504/IJTEL.2018.088339

International Journal of Technology Enhanced Learning, 2018 Vol.10 No.1/2, pp.91 - 110

Received: 23 Oct 2016
Accepted: 25 Apr 2017
Published online: 04 Dec 2017 *

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