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The Web has revolutionized the way information is delivered to people throughout the world. It did not take long for learning material to be delivered through the Web, by using electronic textbooks. The use of hypertext links gives the learner a lot of freedom to decide on an order in which to study the material. This leads to problems in understanding the textbook, which can be solved by using methods and techniques. In this chapter we describe how the field of educational hypermedia benefits from and . We also show that the information gathered about the learners and their learning process can be used to improve the quality of the electronic textbooks.

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This paper deals with a new challenge in Adaptive Hypermedia (AH) and web-based systems: finding the adaptation language to express, independently from the domain model or platform, the intelligent, adaptive behaviour of personalised web courseware. The major requirements for the ideal language are: reuse, flexibility, high level semantics, and ease of use. To draw closer to this ideal language, we compare two such language proposals: LAG, a generic adaptation language, and a new XML adaptation language for Learning Styles (LS) in AHA!, LAG-XLS.

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Abstract:Adaptive Hypermedia Systems (AHS) have long been concentrating on adaptive guidance of links between domain concepts. In this paper we first study parallels between navigation and linking in hypertext on the one hand and information searching or querying on the other hand. We show that to a large extent linking and searching can be modeled in the same way. Secondly we present a transition towards search in AHS by aligning the web search process with the layered structure of AHS and link adaptation process. In the end we sketch the on-going implementation of an open corpus adaptation carried out in the context of the 'Grapple' adaptive e-learning environment.