Towards a personalized e-learning scheme for teachers

One of the most important topics in modern e-learning schemes for teachers is the treatment of information and users at a personalized level. In this framework, the automated extraction of user profiles from an e-learning system is an interesting and important problem. In this paper we present the designing and materializing of such a profile-based system for teachers, which extends on previous work on profile extraction and re-evaluation in the direction of automated extraction of user preferences. Our approach relies on suitably adapted fundamental e-learning models, such as the IEEE e-learning model, as well as on a novel mechanism that creates, updates and uses users' profiles.