DocumentCode
1693841
Title
A framework for adapting instruction to cognitive learning styles
Author
Piombo, Christophe ; Batatia, Hadj ; Ayache, Alain
Author_Institution
ENSEEIHT, IRIT, Toulouse, France
fYear
2003
Firstpage
434
Lastpage
435
Abstract
We present the main components of an adaptive tutoring system based on cognitive learning styles. A Bayesian network is used to model the student learning style. An original domain model based on Bloom taxonomy is adopted. An instruction adaptation module matches the student style to the domain model based on pedagogical rules that can be modified.
Keywords
adaptive systems; belief networks; intelligent tutoring systems; Bayesian network; Bloom taxonomy; adaptive tutoring system; cognitive learning styles; computer assisted instruction; instruction adaptation module; pedagogical rules; student learning style; student modelling; Adaptive systems; Bayesian methods; Education; Instruments; Learning systems; Predictive models; Psychology; Taxonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2003. Proceedings. The 3rd IEEE International Conference on
Print_ISBN
0-7695-1967-9
Type
conf
DOI
10.1109/ICALT.2003.1215160
Filename
1215160
Link To Document