Ontological Support for Socially-enhanced Self Regulated Learning

The ?anytime anywhere? nature of E-Learning environments requires their learners to be self regulated, i.e. to be able to plan, monitor and evaluate their own learning process. However, E-Learning systems lack some notable strength of face-to-face environments such as social communications between the learners. In this paper, we promote an extended ontology-based framework for context-aware learning environments, in which a socially enhanced self-regulated learning design, is the leading pedagogical approach governing different learning scenarios. Our proposed framework is built upon our previous ontological learning foundation, LOCO, where a learning context is comprised of different contextual factors, each modeled by the aims of related ontologies. The aim of our proposed framework is to help learners to be more productive through fostering both their individual and social competencies and expertise.