Towards a computationally intelligent lesson adaptation for a distance learning course

Author

Magoulas, G.D. ; Papanikolaou, K.A. ; Grigoriadou, M.

Author_Institution

Dept. of Inf., Athens Univ., Greece

fYear

1999

fDate

1999

Firstpage

5

Lastpage

12

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

Keywords

Internet; distance learning; hypermedia; information resources; intelligent tutoring systems; Web-based course; adaptive learning environment; background knowledge; computationally intelligent lesson adaptation; distance learning course; domain knowledge; educational material; goal-oriented teaching; hypermedia page; instructional delivery system; instructional design; learner knowledge; neuro-fuzzy approach; uncertainty; Competitive intelligence; Computational intelligence; Computer aided instruction; Educational technology; Electronic switching systems; Informatics; Navigation; Space technology; Tellurium; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on

Conference_Location

Chicago, IL

ISSN

1082-3409

Print_ISBN

0-7695-0456-6

Type

conf

DOI

10.1109/TAI.1999.809758

Filename

809758