Towards a computationally intelligent lesson adaptation for a distance learning course

Abstract

A neuro-fuzzy approach is introduced to implement lesson adaptation in a Web-based course. Several key points that affect the effectiveness of an adaptive learning environment are investigated the development of the educational material, the structure of the domain knowledge, the instructional design and the evaluation of the learner knowledge under uncertainty. The proposed approach allows the generation of the content of a hypermedia page from pieces of educational material based on goal-oriented teaching and making use of the background knowledge of the learner.