《计算机应用研究》|Application Research of Computers


Survey of online learning behavior research applying data mining technology

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作者 柴艳妹,雷陈芳
机构 中央财经大学 信息学院,北京 100081
统计 摘要被查看 次,已被下载
文章编号 1001-3695(2018)05-1287-07
DOI 10.3969/j.issn.1001-3695.2018.05.002
摘要 随着慕课快速发展为当下最新、最潮的学习形式,在线学习平台积累了大量学习行为数据,数据挖掘技术被引入在线学习行为的研究,从而涌现出大量的研究成果。为了深入分析在线学习行为研究中数据挖掘技术的整体应用情况,从国内外公认的Web of Science数据库收集2008—2017年3月相关文献进行了统计和可视化分析,介绍了利用数据挖掘技术进行在线学习行为研究的一般流程,并将数据挖掘技术在在线学习行为研究中的应用总结归纳为五类,详细介绍了相关研究成果及代表文献。最后总结并讨论了未来可能的研究方向。
关键词 慕课;在线学习行为;数据挖掘;可视化分析
基金项目 中央财经大学教改项目(020650514003)
本文URL http://www.arocmag.com/article/01-2018-05-002.html
英文标题 Survey of online learning behavior research applying data mining technology
作者英文名 Chai Yanmei, Lei Chenfang
机构英文名 SchoolofInformation,CentralUniversityofFinance&Economics,Beijing100081,China
英文摘要 With online learning platforms such as MOOCs becoming the latest and the most popular form of learning, the online learning platform had accumulated a large volume of learning data. Consequently data mining was widely used in research on online learning behavior, and massive outstanding achievements related to this had emerged. In order to understand the general situation of online learning research applying data mining, this paper first analyzed the relative literatures using visua-lization method. It searched the literatures data from Web of Science from 2008 to 2017. Secondly it introduced the general process of applying data mining to online learning behavior research. Then it discussed the data mining technology in the application of five categories in the study of online learning behavior, and summarized the relevant research results and literature. Finally it summarized and discussed the possible future research directions.
英文关键词 massive open online courses(MOOC); online learning behavior; data mining; visualization analysis
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收稿日期 2017/4/17
修回日期 2017/6/8
页码 1287-1293
中图分类号 TP391
文献标志码 A