DocumentCode
1842045
Title
Advanced Adaptivity in Learning Management Systems by Considering Learning Styles
Author
Graf, Sabine ; Kinshuk
Volume
3
fYear
2009
fDate
15-18 Sept. 2009
Firstpage
235
Lastpage
238
Abstract
Typical learning management systems consider only little or, in most cases, no adaptivity. In this paper, we introduce an adaptive mechanism which enables such systems to provide students with courses that fit their individual learning styles. The adaptive mechanism is based on an advanced student modelling approach which identifies learning styles by automatic, dynamic, and global student modelling. Based on the identified learning styles, the adaptive mechanism composes courses that match the students’ learning styles, aiming at making learning easier for students. Furthermore, the adaptive mechanism aims at being easy to use for teachers by being generic and adaptable for teachers, allowing them to adjust the mechanism to their course structure and preferences.
Keywords
Conference management; Conferences; Education; Educational technology; Electronic learning; Intelligent agent; Least squares approximation; Management information systems; Psychology; Technology management; adaptivity; learning management systems; learning styles; student modelling;
fLanguage
English
Publisher
iet
Conference_Titel
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
Conference_Location
Milan, Italy
Print_ISBN
978-0-7695-3801-3
Electronic_ISBN
978-1-4244-5331-3
Type
conf
DOI
10.1109/WI-IAT.2009.271
Filename
5284970
Link To Document