Towards a Personalized e-Learning Scheme for Teachers


One of the most important topics in modern elearning 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 elearning models, such as the IEEE e-learning model, as well as on a novel mechanism that creates, updates and uses users’ profiles.

DOI: 10.1109/ICALT.2004.1357477

Extracted Key Phrases

4 Figures and Tables

Cite this paper

@inproceedings{Mylonas2004TowardsAP, title={Towards a Personalized e-Learning Scheme for Teachers}, author={Phivos Mylonas and Paraskevi K. Tzouveli and Stefanos D. Kollias}, booktitle={ICALT}, year={2004} }