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.
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;
Conference_Titel :
Advanced Learning Technologies, 2006. Sixth International Conference on
Conference_Location :
Kerkrade
Print_ISBN :
0-7695-2632-2
DOI :
10.1109/ICALT.2006.1652395
