Towards a computationally intelligent lesson adaptation for a distance learning course

Magoulas, George and Papanikolaou, K.A. and Grigoriadou, M. (1999) Towards a computationally intelligent lesson adaptation for a distance learning course. In: UNSPECIFIED (ed.) 11th IEEE International Conference on Tools with Artificial Intelligence. IEEE Computer Society, pp. 5-12. ISBN 0769504566.

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Official URL: https://doi.org/10.1109/TAI.1999.809758

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.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	06 Jul 2021 13:16
Last Modified:	09 Aug 2023 12:51
URI:	https://eprints.bbk.ac.uk/id/eprint/45006

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