Title :
A framework for adapting instruction to cognitive learning styles
Author :
Piombo, Christophe ; Batatia, Hadj ; Ayache, Alain
Author_Institution :
ENSEEIHT, IRIT, Toulouse, France
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;
Conference_Titel :
Advanced Learning Technologies, 2003. Proceedings. The 3rd IEEE International Conference on
Print_ISBN :
0-7695-1967-9
DOI :
10.1109/ICALT.2003.1215160
