Learning services provisioning using semantic web technologies

Today's ubiquitous environments call for new learning models to exploit the widespread availability of learning resources. On the other hand, advances in Semantic Web offer metadata layers to reason about these resources and develop scalable learning systems that address the inherent complexity of personalized learning requirements. In this paper, we propose a Web services architecture to build a reconfigurable learning services that adapt to changing contexts and evolving learners' profiles. Semantic Web permits to abstract learning resources into distributed and uniformly structured objects and to record learners' attributes into personalized models. Our proposed reconfigurable learning Web services sense the learning context and guide learners to construct their own instructional learning sessions.