Work place: LIROSA, Faculty of Sciences, Abdelmalek Essaâdi University, Tétouan, Morocco
Research Interests: Computer systems and computational processes, Artificial Intelligence, Systems Architecture, Data Structures and Algorithms
Mr. Anouar Tadlaoui Mouenis Is a PhD candidate in Computer sciences, at the Laboratory of Informatics, Research Operational and Statistic Applied (LIROSA) at Faculty of Sciences, Abdelmalek Essaadi University. He has a Master degree in Instructional design Multimedia engineering at the The École normale supérieure of Martil, Morocco in 2013. His current research focuses on: E-learning, Adaptive Hypermedia Systems, Artificial Intelligence, and Bayesian Networks. (E-mail: email@example.com)
DOI: https://doi.org/10.5815/ijmecs.2016.03.01, Pub. Date: 8 Mar. 2016
It’s worth noting that the present paper lies within the range of modeling the learner in adaptive educational system as a conceptual modeling of the learner. Thought they are several methods that deal with the learner model; like stereotypes methods or learner profile…, but they are likely unable to handle the uncertainty embedded in the dynamic modeling of the learner. The present paper aims at studding different models and approaches to model the learner in an adaptive educational systems, and coming up with the most appropriate method based on the dynamic aspect of this model.
The aim of this study is the argue that the learner model cannot be completely modeled based on one single method through the entire development process, but it needs a combination between several methods that will help for a complete modeling.
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