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Analyzing User Behavior Distribution on E-Learning Platform with Techniques of Clustering
PROCEEDINGS

, , , , MCSL, CYCU, TAIWAN, Taiwan

Society for Information Technology & Teacher Education International Conference, in Atlanta, GA, USA ISBN 978-1-880094-52-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

Internet makes all the electronic information connected through communication networks. Users access these Internet resources with different behavior models. This research collects user actions on web and preprocesses these data for preparing data mining. These data have been transformed into Normalized-Distribution Matrix form, then using EM algorithm to group the users' behavior distribution into clusters. Teachers or system analysts easily retrieve these cluster's results. Teachers give proper advice to different cluster's students and system administrators adjust E-learning environment according to these outcomes. The experiment system shows IVC (Internet Virtual Community, http://ivc.cycu.edu.tw/) user behavior distribution.

Citation

Teng, C.W., Lin, C.S., Cheng, S.Y. & Heh, J.S. (2004). Analyzing User Behavior Distribution on E-Learning Platform with Techniques of Clustering. In R. Ferdig, C. Crawford, R. Carlsen, N. Davis, J. Price, R. Weber & D. Willis (Eds.), Proceedings of SITE 2004--Society for Information Technology & Teacher Education International Conference (pp. 3052-3058). Atlanta, GA, USA: Association for the Advancement of Computing in Education (AACE). Retrieved November 20, 2019 from .

Keywords