Ontology in Adaptive Learning Environment

Abstract

Adaptive e-learning systems can be defined as systems offering personalized solutions to suit individual learners’ needs. Thus personalized solutions are built with respect to different kinds of adaptation which are content and navigation. The goal of such adaptive environments is not to make learning material accessible but to improve learning by adapting navigation, interaction and content. For this aim, it was necessary to investigate the learner profile and activities modelling. Actually, with new kinds of adaptation induced by mobility needs of learner, the learner profile modelling have to be adapted. We propose a more exhaustive learner model which we call “learner context”. Thus, in adaptive learning systems, an adequate modelling approach must be proposed and integrated with respect to learning reusability and interoperability. In this respect, semantic Web technologies especially ontology seem to be an efficient modeling approach and can be used to take adaptation decisions. we intend to explore how ontologies can harmonize different aspects of an adaptive e-learning system. Such ontologies could be used to assist designers and authors in the modelling of contextualized learning or even to directly generate such experiences themselves.