Title: Adaptation languages as vehicles of explicit intelligence in Adaptive Hypermedia

Authors: Natalia Stash, Alexandra I. Cristea, Paul De Bra

Addresses: Faculty of Mathematics and Computer Science, Eindhoven University of Technology, Postbus 513, 5600 MB Eindhoven, The Netherlands. ' Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK. ' Faculty of Mathematics and Computer Science, Eindhoven University of Technology, Postbus 513, 5600 MB Eindhoven, The Netherlands

Abstract: This paper deals with a new challenge in Adaptive Hypermedia (AH) and web-based systems: finding the adaptation language to express, independently from the domain model or platform, the intelligent, adaptive behaviour of personalised web courseware. The major requirements for the ideal language are: reuse, flexibility, high level semantics, and ease of use. To draw closer to this ideal language, we compare two such language proposals: LAG, a generic adaptation language, and a new XML adaptation language for Learning Styles (LS) in AHA!, LAG-XLS.

Keywords: plug-and-play intelligence; learning styles; user modelling; adaptive hypermedia; AH; authoring; web-based education; e-learning; online learning; personalised web courseware.

DOI: 10.1504/IJCEELL.2007.015045

International Journal of Continuing Engineering Education and Life-Long Learning, 2007 Vol.17 No.4/5, pp.319 - 336

Published online: 06 Sep 2007 *

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