Mining learners' behavior in accessing web-based interface

Man Wai Lee; Sherry Y. Chen; Xiaohui Liu

doi:10.1007/978-3-540-73011-8_34

Mining learners' behavior in accessing web-based interface

Man Wai Lee, Sherry Y. Chen, Xiaohui Liu

Graduate Institute of Network Learning Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Technologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings
Publisher	Springer Verlag
Pages	336-346
Number of pages	11
ISBN (Print)	9783540730101
DOIs	https://doi.org/10.1007/978-3-540-73011-8_34
State	Published - 2007
Event	2nd International Conference on Edutainment, Edutainment 2007 - Hong Kong, Hong Kong Duration: 11 Jun 2007 → 13 Jun 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4469 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Edutainment, Edutainment 2007
Country/Territory	Hong Kong
City	Hong Kong
Period	11/06/07 → 13/06/07

Keywords

Classification and regression tree
Cognitive styles
Data mining
Web-based interface
Web-based learning

Access to Document

10.1007/978-3-540-73011-8_34

Cite this

Lee, M. W., Chen, S. Y., & Liu, X. (2007). Mining learners' behavior in accessing web-based interface. In Technologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings (pp. 336-346). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4469 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-73011-8_34

Lee, Man Wai ; Chen, Sherry Y. ; Liu, Xiaohui. / Mining learners' behavior in accessing web-based interface. Technologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings. Springer Verlag, 2007. pp. 336-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

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Lee, MW, Chen, SY & Liu, X 2007, Mining learners' behavior in accessing web-based interface. in Technologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4469 LNCS, Springer Verlag, pp. 336-346, 2nd International Conference on Edutainment, Edutainment 2007, Hong Kong, Hong Kong, 11/06/07. https://doi.org/10.1007/978-3-540-73011-8_34

Mining learners' behavior in accessing web-based interface. / Lee, Man Wai; Chen, Sherry Y.; Liu, Xiaohui.

Technologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings. Springer Verlag, 2007. p. 336-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4469 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Lee MW, Chen SY, Liu X. Mining learners' behavior in accessing web-based interface. In Technologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings. Springer Verlag. 2007. p. 336-346. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-73011-8_34

Mining learners' behavior in accessing web-based interface

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Keywords

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