Title: E-learning and intelligent content adaptation: an integrated approach

Authors: Phivos Mylonas, Paraskevi Tzouveli, Stefanos Kollias

Addresses: Department of Computer Science, Image, Video and Multimedia Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, PC GR 157 73, Zographou Campus, Athens, Greece. ' Department of Computer Science, Image, Video and Multimedia Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, PC GR 157 73, Zographou Campus, Athens, Greece. ' Department of Computer Science, Image, Video and Multimedia Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, PC GR 157 73, Zographou Campus, Athens, Greece

Abstract: It is a common fact that modern e-learning schemes lack educational content representation and user personalisation. In this framework, automated extraction of user profiles, to be used in an e-learning content offering system, forms an interesting and important problem. In this approach we present the design and implementation of such a profile-based system, by which content is matched to its environmental context, so that it can be adapted to its user|s needs and capabilities. Current effort extends previous work on profile extraction via clustering techniques and on integrated e-learning systems. It relies on the fundamental IEEE e-learning model, suitably adapted to reflect and focus on profiling aspects of the system.

Keywords: web-based education; e-learning; online learning; personalised education systems; clustering-based profiling methods; intelligent content adaptation; educational content; user profiles.

DOI: 10.1504/IJCEELL.2007.015043

International Journal of Continuing Engineering Education and Life-Long Learning, 2007 Vol.17 No.4/5, pp.273 - 293

Published online: 06 Sep 2007 *

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