Thinking styles in an intelligent and adaptive e-learning hypermedia tool

Abstract

An Adaptive E-learning Hypermedia System (AEHS) is an approach whose target is to personalize the learner's learning experience. A number of AEHS have been developed to support thinking styles as a source for adaptation. However, these systems suffer from several problems, namely: lack of maintenance adaptation to thinking style and the insertion of specific teaching strategies into learning content. This paper proposes an AEHS model based on thinking styles and knowledge level. 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 thinking style and level of knowledge). On the other hand, it will facilitate the learning content teacher in the creation of appropriate learning objects and applying them to a suitable pedagogical strategy.