Tracking Learning Paths to Improve E-Learners Learning Strategies and Performance

摘要：

An empirical study of applying data mining tools to track and analyze e-learners web page travel patterns while attending classes in a learning management system (LMS) is conducted. Starting from February to June 2011, two online classes were instructed and facilitated by the authors in a LMS called Moodle. All the learning activities of attending e-learners are recorded in Moodle platform. Based on Pintrichs motivated learning theory, an elearners travel patterns can be identified and categorized into different learning strategies in an e-learning system by using data mining tools to categorize or to cluster the major travel patterns of course content and of learning activities. As a result, the instructor or facilitator can guide an elearner to use an appropriate learning strategy while finding his/her failure to use an appropriate learning strategy to achieve learning goals. Finally, Kirpatricks evaluation model for e-leamers performance will be applied to verify the effectiveness of this study.

关键词： LMS Moodle Learning Strategies e-learning

作者: Rong-Chang Chen Ming-Jen Chiou

作者单位: Department of Industrial Engineering and Management,Saint Johns University,No.499,Sec.4,Tam King Rd,Tamsui,Taipei,Taiwan 404,China Department of Logistics Engineering and Mangagement,National Taichung Institute of Technology No.129,Sec.3,Sanmin RD.,Taichung,Taiwan 404,China

会议类型: 国际会议

会议名称: The Tenth International Conference on Information and Management Sciences(IMS)(第十届信息与管理科学国际会议)

会议地点: 拉萨

会议语种:英文

页码: 149-251

在线出版日期: 2011-08-06（万方平台首次上网日期，不代表论文的发表时间）