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文章基本信息

  • 标题:Developing a Video-based Smart Mastery Learning through Adaptive Evaluation
  • 本地全文:下载
  • 作者:Jeongim Kang ; Moonhee Kim ; Seong Baeg Kim
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2014
  • 卷号:8
  • 期号:11
  • 页码:101-114
  • DOI:10.14257/ijseia.2014.8.11.09
  • 出版社:SERSC
  • 摘要:This paper proposes to develop a novel e-learning model based on dynamic formative evaluation. In case of the evaluation of the existing e-learning, repetitive learning to achieve mastery, causes learners to degrade immersion and become neglectful of learning. The dynamic formative evaluation proposed is able to supplement the limitations of the existing approaches. Since a repetitive learning method does not provide perfect feedback, this paper puts an emphasis on dynamic formative evaluation that is able to maximize learning achievement. Through the dynamic formative evaluation, the instructor is able to refer to the evaluation result when making an assessment about the learner. For our model that shows the flow chart of learning, based on dynamic formative evaluation, we prove its effectiveness and validity by implementing our model and analyzing it.
  • 关键词:Online Learning; Dynamic Formative Evaluation; Mastery Learning; Repetitive ; Learning Method; Learning Achievement
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