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  • 标题:Detecting Incomplete Learners in a Blended Learning Environment Among Japanese University Students
  • 其他标题:Detecting Incomplete Learners in a Blended Learning Environment Among Japanese University Students
  • 本地全文:下载
  • 作者:Minoru Nakayama ; H. Kanazawa ; H. Yamamoto
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2009
  • 卷号:4
  • 期号:1
  • 页码:47-51
  • 语种:English
  • 出版社:Kassel University Press
  • 摘要:To examine the feasibility of identifying incomplete participants who had not eventually completed a course in a blended learning environment using current learning behavioral data, access log data of complete and incomplete participants were analyzed. There is a significant difference between the two sets, and the number of accesses correlates with the final test score. Discrimination analysis was conducted using several variables across the learning process, and the ratio of those taking part in online tests was significant. Discrimination performance improved in relation to the number of accesses. The estimation performance was determined for two disparate courses in order to detect incomplete participants.
  • 关键词:Blended learning; Incomplete participants; Access log; Discrimination
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