Multi-expert system design for educational and career guidance: an approach based on a multi-agent system and ontology
This paper presents the design of a multi-expert system for
educational and career guidance based on a multi-agent
paradigm and the semantic web. This paradigm seeks to
distribute a problem on a set of agents that communicate
between them, coordinate their behavior and cooperate in order
to solve a problem. The problem to be dealt in this article is that
of educational and career guidance where different types of
knowledge come from four sources: pedagogical expert,
psychological expert, sociological expert and economic expert.
In addition to the four mentioned experts, other two experts are
added which are a coaching expert and the system supervisor.
The latter, that organizes tasks between agents, is considered as
expert in the sense that he has its own database of rules. Such a
system is a tool for decision support that allows students and
job seekers to build their professional projects while taking into
account the various factors involved in the process of
educational and vocational guidance.
Keywords: Educational and career guidance, multi-expert system, multi-agent system, decision support, semantic web, ontolgy.
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ABOUT THE AUTHORS
Essaid El Haji
Essaid EL HAJI is a PhD student in LIST Laboratory at Abdelmalek Essaadi University. His current research interest includes artificial intelligence methods and techniques in educational and career guidance. He is a Teacher of computer science at the Debdou High School in Taourirt-Morocco. He has four papers in International Conferences and Journals
Abdellah Azmani
Dr. Abdellah AZMANI received his Ph.D. in Industrial Computing at the University of Science and Technology of Lille in 1991. He worked as a professor at the Ecole Centrale de Lille and at the Institute of Computer and Industrial Engineering from Lens. He is a member of the Laboratory of Automatics and Informatics of Lille (LAIL). He joined the Faculty of Sciences and Techniques of Tangier in 2004 where he practices as a professor of computer modeling and Artificial Intelligence. He has contributed to many scientific research projects and he elaborates and produces many IT solution for learning games, eLearning, Public Administration, business management, good governance and decision support.
Mohamed El Harzli
Dr. Mohamed EL HARZLI received his state doctorate in Instrumentation at Faculty of Science of Meknes (Morocco), after his PhD from the University of Lille (France) in Electronics. He is a professor at Faculty of Sciences and Technology of Tangier, Morocco.
Essaid El Haji
Essaid EL HAJI is a PhD student in LIST Laboratory at Abdelmalek Essaadi University. His current research interest includes artificial intelligence methods and techniques in educational and career guidance. He is a Teacher of computer science at the Debdou High School in Taourirt-Morocco. He has four papers in International Conferences and Journals
Abdellah Azmani
Dr. Abdellah AZMANI received his Ph.D. in Industrial Computing at the University of Science and Technology of Lille in 1991. He worked as a professor at the Ecole Centrale de Lille and at the Institute of Computer and Industrial Engineering from Lens. He is a member of the Laboratory of Automatics and Informatics of Lille (LAIL). He joined the Faculty of Sciences and Techniques of Tangier in 2004 where he practices as a professor of computer modeling and Artificial Intelligence. He has contributed to many scientific research projects and he elaborates and produces many IT solution for learning games, eLearning, Public Administration, business management, good governance and decision support.
Mohamed El Harzli
Dr. Mohamed EL HARZLI received his state doctorate in Instrumentation at Faculty of Science of Meknes (Morocco), after his PhD from the University of Lille (France) in Electronics. He is a professor at Faculty of Sciences and Technology of Tangier, Morocco.
