| dc.description.abstract | 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 con- tents 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. | |
