An adaptive open hypermedia system on the web

Abstract

A prototype of an open and adaptive hypertext learning environment on the Web is presented. The nodes of the hypertext system are sorted in clusters which are ordered on a map by a self organizing neural network. This map represents the Information Domain Model on which an overlay model of the learning goal and of the user knowledge is built up. The User Model is made up of a user knowledge model and a preference model that takes into account the user.s attitude to approaching the information necessary to achieve the learning goal. The Information Domain Model allows users to add new documents to the system that are ordered by the neural network in the appropriate clusters. This maintains the consistency of the User Model and of the learning goal when the number of documents grows. © Springer-Verlag Berlin Heidelberg 2000.