MAPSS: An Intelligent Architecture for the Pedagogical Support

Najoua Hrich, Mohamed Lazaar, Mohamed Khaldi


The multi-agent systems (MAS) are a part of artificial intelligence (AI), they have emerged today in the development of major e-learning platforms. Their integration has given new impetus to learning environments by the possibility of integrating new parameters (psychological, pedagogical, ergonomic…) favoring a better adaptation to the learner. In addition, the multiagent approach offers the possibility to design flexible solutions based on a set of agents which are in continuous communication to accomplish the tasks entrusted to them.
In this paper, we propose a model of pedagogical support based on a coupling of ontology and multi-agent systems for a synergy of their forces and the important contribution they can make to improve the learning-teaching process.
Previous work has been the subject of theoretical foundation related to competency evaluation, and development of an ontology and an algorithm for evaluating competency. As a continuity, we present the design of Multiagent Pedagogical Support System (MaPSS) and the different scenarios of its utilization.


pedagogical support, assessment process, competencies, ontologies, Multiagent systems

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Copyright (c) 2019 Najoua Hrich, Mohamed Lazaar, Mohamed Khaldi

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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