A Model for an Adaptive Hypermedia Learning System Based on Data Mining Technique

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Author(s): Mahnane Lamia (University of Badji Moktar, Algeria)and Mohamed Hafidi (University of Badji Moktar, Algeria)
Copyright: 2017
Pages: 21
Source title: Exploring the New Era of Technology-Infused Education
Source Author(s)/Editor(s): Lawrence Tomei (Robert Morris University, USA)
DOI: 10.4018/978-1-5225-1709-2.ch005

Keywords: Education / Educational Technologies / Information Science Reference

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Abstract

Since the learning style of each learner is different. Adaptive hypermedia learning system (AHLS) must fit different learner's needs. A number of AHLS have been developed to support learning styles as a source for adaptation. However, these systems suffer from several problems, namely: less attention was paid to the relationship between learning styles and learning performance. This paper proposes an AHLS model based on learning styles and learning performance. On one hand, the developed prototype will assist a learner in accessing and using learning resources which are adapted according to his/her personal characteristics (in this case his/her learning style and level of knowledge). On the other hand, it will facilitate the learning content teacher in the creation of appropriate learning objects and their application to suitable pedagogical strategies.

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A Model for an Adaptive Hypermedia Learning System Based on Data Mining Technique

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