An Integrated Approach Towards Intelligent Educational Content Adaptation

Authors:
Phivos Mylonas;Paraskevi Tzouveli;Stefanos Kollias
Affiliations:
National Technical University of Athens School of Electrical and Computer Engineering, Department of Computer Science Image, Video and Multimedia Laboratory, Zographou Campus, Athens, Greece, 157 ...;National Technical University of Athens School of Electrical and Computer Engineering, Department of Computer Science Image, Video and Multimedia Laboratory, Zographou Campus, Athens, Greece, 157 ...;National Technical University of Athens School of Electrical and Computer Engineering, Department of Computer Science Image, Video and Multimedia Laboratory, Zographou Campus, Athens, Greece, 157 ...
Venue:
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Year:
2007

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Abstract

One of the major shortcomings of modern e-learning schemes is the fact that they significantly lack on user personalization and educational content representation issues. Semi-or fully automated extraction of user profiles based on users' usage history records forms a challenging problem, especially when used under the e-learning perspective. In this chapter we present the design and implementation of such a user profile-based framework, where educational content is matched against its environmental context, in order to be adapted to the end users' needs and qualifications. Our effort applies clustering techniques on an integrated e-learning system to provide efficient user profile extraction and results are promising.