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借鉴与反思:学习分析在国外高等教育领域的应用 被引量:5

Reference and Reflection:the Application of Learning Analysis in the Field of Foreign Higher Education
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摘要 学习分析是一门集搜索、存储、统计、整合、应用、干预、反馈等功能于一身的信息化教学行为与技术。在国外高等教育领域的应用中,Course Signals、Student Success System、Connect4success学习分析系统因其具有预测风险学生、进行及时干预、存储大量数据、可视化呈现等优点而被美国、加拿大、澳大利亚等国家采用。文章对以上三个典型的学习分析系统进行深入反思,在肯定其价值的基础上,指出学习分析系统存在的问题,以期为学习分析在我国的研究和实践应用提供借鉴,从而推动我国高等教育内涵式发展。 Learning analysis is a collection of information teaching behaviors and technology, such as search, storage, statistics, integration, application, intervention, feedback, etc. In the field of foreign higher education, learning analysis systems such as Course Signals, Student Success System, Connect4 success are applied by some developed countries like the United States, Canada and Australia. The main reason for adopting these systems is their typical advantages, such as the ability to predict the at-risk students, timely intervention, storage of large amounts of data, visual presentation, etc. The present study carried out an in-depth reflection of the above three typical learning analysis systems, in which some existing problems of the systems were pointed out while affirming its evident research values. Therefore, the present study expects to provide support for theoretical research and practical application of learning analysis in China, thus promoting the connotative development of higher education in China.
出处 《现代教育技术》 CSSCI 北大核心 2018年第2期107-112,共6页 Modern Educational Technology
基金 湖北省教育厅科学技术研究计划重点项目"基于模糊逻辑的自适应学习系统关键技术研究--以英语学习为例"(项目编号:094736)资助
关键词 学习分析 高等教育 实践应用 learning analysis higher education practical application
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  • 1Thomas S.Kuhn. The Structure of Scientific Revolutions(3rd Edition)[M]. Chicago: University of Chicago Press, 1996:10.
  • 2T.S.Kuhn.The Structure of Scientific Revolutions(2nd Edition) [M]. University of Chicago Press, 1970:88 and 41respectively.
  • 3Wikipedia, the free encyclopedia[EB/OL].http://en.wikipedia.org/wiki/Paradigm.
  • 4P.Thagard. Conceptual Revolutions[M]. Princeton, N J: Princeton University Press, 1992.
  • 5U.Friedman (2013). Big Data: A Short History[DB/OL].[2013-05-10].http://www.foreignpolicy.com/articles/2012/10/08/big_data?page=0,1.
  • 6Purcell,B.. Theemergence of "big data" Technology and Analytics. Journal of Technology Research [DB/OL].[2013-05-10].http:// www.aabri.com/manuscripts/121219.pdf.
  • 7C.Snijders,U.Matzat,U.-D.Reips. 'Big Data':Big Gaps of Knowledge in the Field of Intemet Science[J].International Journal of Intemet Science, 2012, (7) : 1-5.
  • 8Doug Laney. 3-D Data Management: Controlling Data Volume, Velocity and Variety [DB/OL].[2013-04-10].http://blogs.gartner.com/ doug-laney/files/2012/01/ad9g9-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf.
  • 9IB M[DB/OL].[ 2013-05-10 ]http ://www-01 .ibm.com/ software/ data/b igdata/.
  • 10E.Quinn. The 6 Vs: The BI/Analytics Game Changes so Microsoft Changes Excel [DB/OL].[2013-05-10].http://www.esg-global.com/ blogs/the-6-vs-the-bianalytics-game-changes-so-microsoft-changes-excel/.

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