Intelligent content adaptation in the framework of an integrated e-learning system

It is a common fact that modern e-learning schemes lack educational content representation and user personalization. In this framework, automated extraction of user profiles, to be used in an e-learning content offering system, forms an interesting and important problem. In this paper we present the design and implementation of such a profile-based system, by which content is matched to its environmental context, so that it can be adapted to its user’s needs and capabilities. The paper extends previous work on profile extraction and clustering techniques and on integrated e-learning systems. Our approach relies on the fundamental IEEE e-learning model, suitably adapted to reflect the profiling aspects of the system.