Automatic Generation of User Model from Non-Trivial Hypermedia in Adaptive E-Learning Hypermedia System

M. Bures and I. Jelinek (Czech Republic)


E-learning, Adaptive Hypermedia, User Model


Adaptive E-learning Hypermedia System keeps characteristics of particular students and adapts its output in accord to them. Such characteristic can be level of student's knowledge of particular information domain, prerequisite knowledge needed to understand particular information, specific preferences and needs of student (for example the disabled) and many others. There are several adaptation techniques (adaptive features), which define adaptive behavior of system. Student's characteristic is stored in user model. In general, there are two main parts of user model: general information, which is valid for all hypermedia documents in adaptive hypermedia systems and particular information relevant only to particular hypermedia document. The second part of model can be automatically generated from hypermedia topology and used adaptation techniques (this part of model is only the secondary information). Such automated generation can improve data consistency and stability of adaptive E learning hypermedia system. This paper deals with formal description of problem, propose algorithm for automated user model generation based on formal description and discuss consequences in adaptive system implementation.

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