Learning Materials Representation for Interoperability in Heterogeneous Environment

Abstract

Learning resources are used for different learners and in different contexts along with heterogeneous environments. So, we need a way to enable automatic selection and compilation of these learning resources and adapt them to the target learner within these heterogeneous environments. This paper proposes using semantic web technologies and specially ontology in adaptive modeling of the learning resources to select the suitable material to the right learner in heterogeneous environment. We have implemented the ontology using Protégé 5.5.0. This proposed ontology model can help instructors and resource designers.