Applying State-transition Graph to Construct User Model on E-learning Environment
Elsa Lin, Chia-Sheng Lin, Shein-Yung Cheng, Jia-Sheng Heh, Dept. of Information and Computer Engineering, Chung Yuan Christian University, Taiwan
EdMedia + Innovate Learning, in Lugano, Switzerland ISBN 978-1-880094-53-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Distance learning has become a tendency, in this Internet age. This paper constructs users' behavior models on e-learning environment. It offers data transformation methods to calculate the probabilities of state transfer. Then data mining techniques will be used to cluster users with similar behavior. With the analyzing result of users' behavior, their learning characteristic could be found, thus to predict the movements of users and to help building an individual learning mechanism on e-learning websites becomes more available.
Lin, E., Lin, C.S., Cheng, S.Y. & Heh, J.S. (2004). Applying State-transition Graph to Construct User Model on E-learning Environment. In L. Cantoni & C. McLoughlin (Eds.), Proceedings of ED-MEDIA 2004--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 671-677). Lugano, Switzerland: Association for the Advancement of Computing in Education (AACE).
© 2004 Association for the Advancement of Computing in Education (AACE)
Cited ByView References & Citations Map
Toward ICT Integration in the Science Classroom: A Comparative Study of Cases in Lesotho and South Africa
Kasongo Kalanda, Lesotho College of Education, Lesotho; Ruth De Villiers, University of South Africa, South Africa
EdMedia + Innovate Learning 2008 (Jun 30, 2008) pp. 3175–3182
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