Towards a Computationally Intelligent Lesson Adaptation for a Distance Learning Course

  • Authors:
  • G. D. Magoulas;K. A. Papanikolaou;M. Grigoriadou

  • Affiliations:
  • -;-;-

  • Venue:
  • ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
  • Year:
  • 1999

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Abstract

In this paper 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 generating the content of a hypermedia page from pieces of educational material based on a goal-oriented way of teaching and making use of the background knowledge of the learner.