Hyosook Jung, Seongbin Park
In a complex hyperspace, people may experience the problems of disorientation and cognitive overload[Conklin, 1987] and to overcome these problems, adaptive hypermedia technologies provide personalized information to learners with different learning paces, abilities, interests, etc[De Bra et al., 1999]. However, it is difficult to predict complex situations that could arise during navigation in an adaptive hypermedia in advance. For example, users may want to extend the contents of an adaptive hypermedia when they find some information using a search engine. In this paper, we propose an approach by which adaptive capabilities of an exiting adaptive hypermedia such as adapting according to changes of a domain model or a user model can be enhanced.
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