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  • 标题:The Effects of Adaptive Feedback on Student’s Learning Gains
  • 本地全文:下载
  • 作者:Andrew Thomas Bimba ; Norisma Idris ; Ahmed Al-Hunaiyyan
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2021
  • 卷号:12
  • 期号:7
  • DOI:10.14569/IJACSA.2021.0120709
  • 语种:English
  • 出版社:Science and Information Society (SAI)
  • 摘要:There is an increase in the implementation of adap-tive feedback models, which focus on the relationship between adaptive feedback and learning gains. These literatures suggest that the complex relationship between feedback, task complexity, pedagogical principles and student’s characteristics affect the significance of feedback effects. However, current studies have shown insufficient research on the effect of adaptive feedback characteristics on student’s learning gains. Thus, there is a need to investigate the effect of multiple adaptive feedback characteristics on student’s learning gains. The adaptive feedback model proposed supports the retrieval of appropriate feedback for students based on established weights between related concepts. In comparing three experimental groups, students who were provided with adaptive feedback showed learning gains and normalized learning gains of 0.87 and 0.05 over the normal feedback group, with 0.97 and 0.07 over the non-feedback group. This research yielded better outcomes than previous similar studies.
  • 关键词:Authoring tools and methods; evaluation of CAL systems; intelligent tutoring systems; teaching/learning strategies; pedagogical issues
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