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.
International Journal of Technology Enhanced Learning, 2018 Vol.10 No.1/2, pp.91 - 110
Available online: 22 Oct 2017 *Full-text access for editors Access for subscribers Purchase this article Comment on this article