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2006). Unbolting the chairs: Making learning management systems more flexible. eLearn Magazine, 1(2). Fröschl, C. (2005). User modeling and user profiling in adaptive e-learning systems. Unpublished master’s thesis, Graz University of Technology, Graz, Austria. pdf García-Barrios, V. , & Mödritscher, F. (2004). EHELP—Enhanced E-Learning Repository: The use of a dynamic background library for a better knowledge transfer process. In M. Auer & U. ), Proceedings of the International Conference on Interactive Computer Aided Learning (ICL 2004).

940-945). New York: ACM Press. , & Wade, V. (2003). Applying adaptive hypermedia techniques to semantic Web service composition. , & Calvi, L. (1998). AHA! An open adaptive hypermedia architecture. The New Review of Hypertext and Multimedia, 4, 115-139. , & Wu, H. (1999). AHAM: A Dexter-based reference model for adaptive hypermedia. In J. K. J. Leggett, K. M. ), Proceedings of the Tenth ACM Conference on Hypertext and Hypermedia (pp. 147-156). New York, USA: ACM Press. , & Stash, N. (2006). The Design of AHA!

2) The ‘adapt by course rules’ method computes the adaptation step for the depicted aspect of the LMS with respect to didactical rules. Thus, this adaptation task is achieved solely through userindependent factors. If this operation results in a certain decision, it is saved in the model repository to be reused independent of users for the same adaptation decisions. (3) The ‘adapt by student rules’ method performs the personalization process itself, where the adaptor tries to adapt the chosen aspect of the LMS for the student on the basis of the user model given by the modeling system.

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