Mining learners' behavior in accessing web-based interface

Man Wai Lee, Sherry Y. Chen, Xiaohui Liu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

Web-based technology has already been adopted as a tool to support teaching and learning in higher education. One criterion affecting the usability of such a technology is the design of web-based interface (WBI) within web-based learning programs. How different users access the WBIs has been investigated by several studies, which mainly analyze the collected data using statistical methods. In this paper, we propose to analyze users' learning behavior using Data Mining (DM) techniques. Findings in our study show that learners with different cognitive styles seem to have various learning preferences, and DM is an efficient tool to analyze the behavior of different cognitive style groups.

原文???core.languages.en_GB???
主出版物標題Technologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings
發行者Springer Verlag
頁面336-346
頁數11
ISBN(列印)9783540730101
DOIs
出版狀態已出版 - 2007
事件2nd International Conference on Edutainment, Edutainment 2007 - Hong Kong, Hong Kong
持續時間: 11 6月 200713 6月 2007

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4469 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???2nd International Conference on Edutainment, Edutainment 2007
國家/地區Hong Kong
城市Hong Kong
期間11/06/0713/06/07

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