@inproceedings{d20768ffeb144313abfe7486c504cafd,
title = "Mining learners' behavior in accessing web-based interface",
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.",
keywords = "Classification and regression tree, Cognitive styles, Data mining, Web-based interface, Web-based learning",
author = "Lee, {Man Wai} and Chen, {Sherry Y.} and Xiaohui Liu",
year = "2007",
doi = "10.1007/978-3-540-73011-8_34",
language = "???core.languages.en_GB???",
isbn = "9783540730101",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "336--346",
booktitle = "Technologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings",
note = "2nd International Conference on Edutainment, Edutainment 2007 ; Conference date: 11-06-2007 Through 13-06-2007",
}