DocumentCode
2870523
Title
Dynamic Adaptive Mechanism in Learning Management System Based on Learning Styles
Author
Alkhuraiji, Samar ; Cheetham, Barry ; Bamasak, Omaima
Author_Institution
Univ. of Manchester, Manchester, UK
fYear
2011
fDate
6-8 July 2011
Firstpage
215
Lastpage
217
Abstract
Learning management systems are widely and successfully used for the delivery of self-paced online courses. This paper is concerned with enhancing the capability of such systems by introducing adaptivity in the way the information is presented to the on-line learner. Adaptivity means that the presentation style is personalised to the preferred learning style of each student, as may be modelled by a Bayesian Network. The modelling is based on learning theories that have been proven by much experience, and provide appropriate assessment procedures. Techniques for introducing two forms of adaptivity, static and dynamic are considered and two experiments, based on case-studies are devised for evaluating their potential.
Keywords
belief networks; computer aided instruction; Bayesian network; dynamic adaptive mechanism; learning management system; learning styles; online learner; self-paced online courses; Adaptation models; Adaptive systems; Bayesian methods; Electronic learning; Learning systems; Materials; Adaptivity; Learning Management System; Learning Syle;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Conference_Location
Athens, GA
ISSN
2161-3761
Print_ISBN
978-1-61284-209-7
Electronic_ISBN
2161-3761
Type
conf
DOI
10.1109/ICALT.2011.69
Filename
5992305
Link To Document