Using Fuzzy Cognitive Maps for the Domain Knowledge Representation of an Adaptive e-Learning System

摘要

In this paper we describe a method for the knowledge representation of an e-learning adaptive system. A crucial factor for adaptive systems is to provide adaptive navigation support through the links that constitute the learning material. Therefore, the system should advice each individual learner which domain concepts to read, taking into account her/ his progress and performance on other related domain concepts. As a result, the system should be informed about the knowledge dependencies that exist among the domain concepts of the learning material, as well as the strength on impact of each domain concept on others. Fuzzy Cognitive Maps (FCMs) seem to be an ideal way for representing graphically this kind of information. However, due to the fact that a FCM usually is complex and there is a difficulty in extracting information of them, we suggest transforming them to a two-dimensional matrix, in which knowledge dependencies are analysed clearly through its rows and columns.