Adaptation of learning resources based on the MBTI theory of psychological types
Today, the resources available on the web increases significantly. The motivation for the dissemination of knowledge and their acquisition by learners is central to learning. However, learners show differences between the ways of learning that suits them best.
The objective of the work presented in this paper is to study how it is possible to integrate models from cognitive theories and ontologies for the adaptation of educational resources. The goal is to provide the system capabilities to conduct reasoning on descriptions obtained in order to automatically adapt the resources to a learner according to his preferences. We rely on the model MBTI (Myers-Briggs Type Indicator) for the consideration of learning styles of learners as a criterion for adaptation.
Keywords: Learner modeling, learning style, MBTI, adaptive learning, knowledge engineering, semantic web, ontology
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ABOUT THE AUTHORS
Amel Behaz
received a Master in Computer Science from the University of Batna, Algeria, in 2004. She is currently a Professor at the University of Batna, Algeria. She is a member of (Adaptive Hypermedia in E-learning) research group. She is currently pursuing his doctoral thesis research on the modeling of an adaptive educational hypermedia system. Her current research interest is in E-Learning, Knowledge Engineering, Semantic Web, Ontology, and Learner Modeling. Her teaching interests include Programming, Data Bases, and Web Technology.
Mahieddine Djoudi
Mahieddine Djoudi received a PhD in Computer Science from the University of Nancy, France, in 1991. He is currently an Associate Professor at the University of Poitiers, France. He is a member of SIC (Signal, Images and Communications) Research laboratory. He is also a member of IRMA E-learning research group. His PhD thesis research was in Continuous Speech Recognition. His current research interest is in E-Learning, Mobile Learning, Computer Supported Cooperative Work and Information Literacy. His teaching interests include Programming, Data Bases, Artificial Intelligence and Information & Communication Technology. He started and is involved in many research projects which include many researchers from different Algerian universities.
Amel Behaz
received a Master in Computer Science from the University of Batna, Algeria, in 2004. She is currently a Professor at the University of Batna, Algeria. She is a member of (Adaptive Hypermedia in E-learning) research group. She is currently pursuing his doctoral thesis research on the modeling of an adaptive educational hypermedia system. Her current research interest is in E-Learning, Knowledge Engineering, Semantic Web, Ontology, and Learner Modeling. Her teaching interests include Programming, Data Bases, and Web Technology.
Mahieddine Djoudi
Mahieddine Djoudi received a PhD in Computer Science from the University of Nancy, France, in 1991. He is currently an Associate Professor at the University of Poitiers, France. He is a member of SIC (Signal, Images and Communications) Research laboratory. He is also a member of IRMA E-learning research group. His PhD thesis research was in Continuous Speech Recognition. His current research interest is in E-Learning, Mobile Learning, Computer Supported Cooperative Work and Information Literacy. His teaching interests include Programming, Data Bases, Artificial Intelligence and Information & Communication Technology. He started and is involved in many research projects which include many researchers from different Algerian universities.
