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 :
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