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基于MOOC数据挖掘的学习行为和学习成效分析 被引量:5

Analysis of Learning Behavior and Learning Effectiveness Based on MOOC Data Mining East China University of Science and Technology College of information science and Engineering
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摘要 随着近年来慕课教学的兴起,教育大数据的分析与挖掘正成为一个新的研究方向。本文基于Canvas Network提供的MOOC开放数据,使用数据统计和数据挖掘的方式,对学习者的类型与行为进行了统计分析,并探究了学习行为与学习成效之间的相关性,并基于分析结果对个性化的在线学习方式提出了有益的建议。 With the advance and popularity of MOOCs in the recent years,the analysis and mining of large educational data is becoming a new research direction.This research utilized the public MOOCs learning data provided by Canvas Network.By using data statistics and data mining methods,the types and behaviors of learners were statistically analyzed and the correlation between learning behavior and learning effectiveness was explored.Based on the analysis results,some useful suggestions for personalized online learning could be put forwarded.
作者 陈兰岚 宋海虹 CHEN Lan-lan;SONG Hai-hong(College of Information,East China University of Science and Technology,Shanghai 200237,China)
出处 《教育教学论坛》 2019年第21期50-51,共2页 Education And Teaching Forum
基金 华东理工大学继续教育教学研究项目的研究成果
关键词 MOOC 学习行为 学习成效 数据挖掘 个性化学习 MOOCs learning behavior learning effectiveness data mining personalized learning
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  • 1李晓明.慕课:是橱窗?还是店堂?[J].中国计算机学会通讯,2013,9(12):24-28.
  • 2Siemens G. Connectivism A learning theory for the digital age [EB/OL]. (2005-04-05)[201406-01]. http://www. ingedewaard, net/papers/connectivism/2005 siernens_ALearning TheoryForTheDigitalAge. pd{.
  • 3Osvaldo R C. Moocs and the AI-Stanl,ord like courses: Two successl'ul and distinct course formats l'or massive open online courses [J/OL]. European Journal of' Open, Distance and E Learning, 2012(2) .- 1-13. [2014-06-01]. http=//l,iles, eric. ed. gov/l'ulltext/EJ982976, pdl.
  • 4Downes S. New technology supporting informal learning [J]. Journal of Emerging Technologies in Web Intelligence, 2010, 2(1) : 27-33.
  • 5Breslow L, Pritchard D, DeBoer J, et al. Studying learning in the worldwide classroom: Research into edX's first MOOC [J]. Research % Practice in Assessment, 2013, 8(1) : 13-25.
  • 6McAndrew P, Scanlon E. Open learning at a distance Lessons for struggling MOOCs [J]. Science, 2013, 342 (6165) : 1450-1451.
  • 7北大慕课教学研究组.2013北京大学首批慕课(MOOC)人群与网络调查分析报告[R/OL].北京:北京大学,2014[2014-06一01].http://pan.baidu.com/s/lc0vUMm0.
  • 8Waldrop M M. Online learning.. Campus 2.0 [J]. Nature, 2013, 495(7440) .. 160-163.
  • 9Stein L A. Casting a wider net [J]. Science, 2012, 338 (6113) .. 1422-1423.
  • 10Nesterko S, Dotsenko S, Hu Q, et al. Evaluating geographic data in MOOCs [C/OL] //Neural Information Processing Systems Workshop on Data Driven Education, 2013 [2014- 06-01]. http://nesterko, com/files/papers/nips2013-nesterko. pdf.

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