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IEICE Transactions on Information and Systems 2007 E90-D(10):1687-1696; doi:10.1093/ietisy/e90-d.10.1687
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Copyright © 2007 The Institute of Electronics, Information and Communication Engineers

Regular Section -- Papers -- Educational Technology

Detecting Mouse Movement with Repeated Visit Patterns for Retrieving Noticed Knowledge Components on Web Pages

Chen-Chung LIU1 and Chen-Wei CHUNG1

1 The authors are with National Central University, No.300, Jhong-Da Rd., Jhongli City, Taoyuan, Taiwan 320, R.O.C. E-mail: jerryjong{at}gmail.com


  Abstract

Educational websites contain rich knowledge components on a web page. Detecting student attention on web pages fulfills the recommendation of adequate knowledge components to students based on students' current interests. Previous studies have shown the application of learner attention in intelligent learning systems. This study proposes a methodology to analyze student on-line mouse movement patterns that indicate student attentions. The methodology can be combined with learning systems that implement pedagogical models such as inquiry-based learning and problem-solving learning activities. The feasibility and effectiveness of the proposed methodology have been evaluated by student mouse movements in problem-solving scenarios.

Key Words: World Wide Web, adaptive learning systems, mouse movement, student attention, recommendation

Manuscript received November 8, 2005. Manuscript revised June 14, 2006.


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