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International Conference on Technologies for E-Learning and Digital Entertainment

Edutainment 2007: Technologies for E-Learning and Digital Entertainment pp 336–346Cite as

Mining Learners’ Behavior in Accessing Web-Based Interface

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4469))

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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Author information

Authors and Affiliations

  1. School of Information Systems, Computing and Mathematics, Brunel University, U.K.

    Man Wai Lee, Sherry Y. Chen & Xiaohui Liu

Authors
  1. Man Wai Lee
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  2. Sherry Y. Chen
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  3. Xiaohui Liu
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Editor information

Kin-chuen Hui Zhigeng Pan Ronald Chi-kit Chung Charlie C. L. Wang Xiaogang Jin Stefan Göbel Eric C.-L. Li

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Lee, M.W., Chen, S.Y., Liu, X. (2007). Mining Learners’ Behavior in Accessing Web-Based Interface. In: Hui, Kc., et al. Technologies for E-Learning and Digital Entertainment. Edutainment 2007. Lecture Notes in Computer Science, vol 4469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73011-8_34

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  • DOI: https://doi.org/10.1007/978-3-540-73011-8_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73010-1

  • Online ISBN: 978-3-540-73011-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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