An approach for the personalization of exercises based on contextualized attention metadata and semantic web technologies

Abstract

The generation of Contextualized Attention Metadata (CAM) allows to retrieve information about the different actions that users execute over different resources in a specific context. This paper presents how CAM is used within a learning system to personalize help provided to students while working on online exercises. We outline our approach and present two application examples within this framework for the personalization of exercises with hints. © 2010 IEEE.