Title: Multi-agent approach for collaborative authoring and indexing of pedagogical materials

Authors: Samir Bourekkache; Okba Kazar; Mounia Abik

Addresses: Smart Computer Science Laboratory (LINFI), Computer Science Department, University of Biskra, Algeria ' Smart Computer Science Laboratory (LINFI), Computer Science Department, University of Biskra, Algeria ' IPSS Research Team, ENSIAS, Mohammed V University, Rabat, Morocco

Abstract: In e-learning environment, the learner may feel that he is isolated and disoriented because of the absence of the teacher and the huge number of materials. Moreover, the pedagogical documents have several characteristics so that we must offer the appropriate documents for each learner according to his level, characteristics, and preferences…, etc. Consequently, the adaption of the learning content is an important technique. Creating materials, without additional information, makes the delivering of relevant material an impossible task. Consequently, one has to pay attention to the stage of creating of learning content using new technics. In addition, it may not be convenient if we haven't additional information about the learner and the learning material (learning objective, prerequisites, and learner background…, etc.). Therefore, we develop a multi-agent system that supports a set of authors who create and index educational materials. The indexes are used to manipulate the learning content efficiently by the machine when choosing the appropriate content to satisfy the needs of heterogeneous learners.

Keywords: e-learning; shared editor; metadata; educational content; indexing of documents; computer supported collaborative work; XML; adaptive hypermedia.

DOI: 10.1504/IJCEELL.2020.108527

International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.3, pp.255 - 275

Received: 29 Sep 2018
Accepted: 08 Apr 2019

Published online: 16 Jul 2020 *

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