AN APPROACH TO PERSONALISATION IN E-LEARNING SOCIAL ENVIRONMENTS

We present an approach to a personalized learning service that takes advantage of social tagging to support social learning in context and provides learning resources adapted to the abilities and needs of an individual learner. We employ graph clustering technique in order to group tags into clusters having different contexts, learner's personomy to discover the learning context of the targeted learner, and Formal Concept hierarchy theory to hierarchically cluster learning resources and retrieve the relevant resources to the learner's needs.