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  • 标题:PREDICTING LEARNING FROM ASYNCHRONOUS ONLINE DISCUSSIONS
  • 本地全文:下载
  • 作者:Dezhi Wu ; Starr Roxanne Hiltz
  • 期刊名称:Online Learning
  • 印刷版ISSN:2472-5749
  • 电子版ISSN:2472-5730
  • 出版年度:2019
  • 卷号:8
  • 期号:2
  • 页码:139-152
  • DOI:10.24059/olj.v8i2.1832
  • 出版社:Online Learning Consortium
  • 摘要:Online discussions play an important role in student learning. Currently, asynchronous learning courses and some primarily face-to-face courses at New Jersey Institute of Technology require asynchronous online discussions. Does this requirement improve the students’ perceived learning? An exploratory study designed to investigate this issue was conducted in Spring 2002. The questionnaire drew responses to a post-course questionnaire from 116 students in two undergraduate courses and one graduate course. A set of items designed to measure perceived learning from online discussions formed a reliable, unidimensional index for this construct. The results indicate that online discussions do improve students’ perceived learning. Variations among instructors or courses are associated with differences in perceptions of student motivation, enjoyment, and learning from online discussion. Open-ended questions identified some student concerns about online discussions. The concluding section of this paper presents some implications for improving online discussions and for future research plans.
  • 关键词:Online Discussions;Distance Education;ALN;E-learning
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