From adaptive hypermedia to the adaptive web
Communications of the ACM - The Adaptive Web
Adaptive HyperText and Hypermedia
Adaptive HyperText and Hypermedia
User Modeling and User-Adapted Interaction
Proceedings of the First International Conference on Advances in Web-Based Learning
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Proceedings of the 6th International Conference on Intelligent Tutoring Systems
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Proceedings of the 9th international conference on User modeling
UM'03 Proceedings of the 9th international conference on User modeling
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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.