DocumentCode
2242191
Title
An Approach for Detecting Learning Styles in Learning Management Systems
Author
Graf, Sabine ; Kinshuk
Author_Institution
Women´´s Postgraduate Coll. for Internet Technol., Vienna Univ. of Technol.
fYear
2006
fDate
5-7 July 2006
Firstpage
161
Lastpage
163
Abstract
Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS) to detect learning styles based on the behavior of learners during an online course. By calculating the learning styles and filling the student model of LMS with such personal data, a basis for adaptivity is provided
Keywords
computer aided instruction; user modelling; learner behavior; learner needs; learning management systems; learning style detection; online course; student model; Adaptive systems; Bayesian methods; Building materials; Databases; Educational institutions; Filling; Internet; Least squares approximation; Management information systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2006. Sixth International Conference on
Conference_Location
Kerkrade
Print_ISBN
0-7695-2632-2
Type
conf
DOI
10.1109/ICALT.2006.1652395
Filename
1652395
Link To Document