Combining Expert Systems and Multiple Intelligences in an Adaptive and Intelligent Tutoring System

Hafidi Mohamed and Bensebaa Taher
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Hafidi Mohamed: Laboratoire de Recherche en Informatique (LRI), University of Badji Moktar, Annaba, Algeria
Bensebaa Taher: Laboratoire de Recherche en Informatique (LRI), University of Badji Moktar, Annaba, Algeria

International Journal of Information Technology and Web Engineering (IJITWE), 2013, vol. 8, issue 3, 22-33

Abstract: This paper describes an adaptive and intelligent tutoring system (AITS) based on multiple intelligences and expert system. Most of adaptive and intelligent tutoring systems based their adaptation to user’s skill level. Other learner features taken into account are background, hyperspace experience, preferences and interests. However, less attention was paid to multiple intelligences and their effects on learning. Moreover, to design AITS which can manage both different disciplinary domains and a guide for the learner is difficult. The specialization of the analysis treatments is responsible for the loss of reusability for the other disciplinary domains. To overcome these limitations, the authors will try to combine the benefits of paradigms (adaptive hypermedia, intelligent tutoring system, multiple intelligences) in order to adapt the course to the needs and intellectual abilities of each learner.

Date: 2013
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