Paper Info
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.
Year
DOI
Venue
2007
10.1007/978-3-540-73011-8_34
Edutainment
Keywords
Field
DocType
efficient tool,data mining,various learning preference,different cognitive style,higher education,web-based interface,different cognitive style group,web-based learning program,different users access,mining learner,web-based technology,cognitive style,cognitive styles
Educational technology,World Wide Web,Computer science,Usability,Web based interface,Multimedia,Cognitive style,Higher education
Conference
Volume
ISSN
Citations 
4469
0302-9743
3
PageRank 
References 
Authors
0.47
20
3
Name
Order
Citations
PageRank
Man Wai Lee1193.11
Sherry Y. Chen2108277.56
Xiaohui Liu35042269.99