期刊文献+

大数据在基础教育中的应用初步 被引量:3

A Preliminary Application of Big Data in Basic Education
下载PDF
导出
摘要 大数据基于大体量的数据进行分析,可以从最微小的层面了解事物的现象和本质。通过其3大核心应用:概率预测、个性化和反馈,实现对学生学习轨迹的记录和分析,关注每个学生的真实学习状况,弥补传统教育中存在的一些问题和不足。教育大数据虽然有很多,但并未得到充分的挖掘和使用,分析其原因,一方面人们还不习惯用大数据思维思考和解决问题,另一方面由于教育的特殊性,大数据在教育领域的应用和发展需要面对更多的来源于社会、道德、伦理、技术等复杂问题。 Big data,which is based on the analysis of large amounts of data,enables us understand the phenomenon andsee the essence of things from the micro level.Through its main applications,including probability prediction,personalization and feedback,the recording and tracking on students’learning have been realized which makes true themonitoring of each student’s real learning situation,thus making up some of the problems and shortcomings existing in thetraditional education.In addition,theoretically speaking,big data can bring a fundamental change to the reform and developmentof education.However,there are a lot of big data about education which cannot be mined and used sufficiently.Asto the reasons,on one hand,people are not accustomed to thinking and solving problems from the horizon of big data.Onthe other hand,because of the specific characteristics of education,the application and development of big data in educationneed to face the complex issues from the perspectives of social reasons,morality,ethics,technology and etc.
作者 桑利丹 张恺 SANG Lidan;ZHANG Kai(Department of Education Science,Tianjin Normal University,Tianjin 300387,China;Tianjin Children & Youth Science Center,Tianjin 300192,China)
出处 《天津科技》 2017年第4期88-90,共3页 Tianjin Science & Technology
关键词 大数据 大数据分析 教育应用 big data big data analysis education application
  • 相关文献

参考文献3

二级参考文献35

  • 1Nature. Vol 4551 4 september 2008.
  • 2Manyika, J., M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. H. Byers. 2011. Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute. Looks at innovation and competitive advantages for industries using big data, including health care, retail, and use of personal location, p.1, p.19.
  • 3维基百科,“Bigdata”条目,2013年8月7日检索.
  • 4http://mike2.openmethodology.org/blogs/information development/2012/03/18/its -time -for -a -new -definition -of .big -data/. 2013年8月7日检索.
  • 5维克托·迈尔一舍恩伯格,肯尼斯·库克耶著,盛杨燕,周涛译.大数据时代[M].浙江人民出版社,2013:4,11.
  • 6http://www.stcsm.gov.cn/gk/ghjh/333008.htm.
  • 7IDC press release. IDC Releases First Worldwide Big Data Technology and Services Market Forcast. http://www.idc.com/getdoc.jsp? eontainerid=prus23355112.
  • 8李国杰.大数据科学问题研究.973计划信息领域战略调研材料之三.http://www.ict.ac.cn/liguojiewenxuan/wzlj/lgjxsbg/201302/P020130223675673612379.pdf,2013年8月8日检索.
  • 9Bienkowski M, Feng M, Means B. Enhancing teaching and learning through educational data mining and learning analytics: an issue brief. Washington, D.C. Office of Educational Technology, U. S. Department of Education. 2012. p.9, p.10, p.13.
  • 10Hung, J.L., Hsu, H. C., and Rice, K.(2012). Integrating Data Mining in Program Evaluation of K-12 Online Education. Educational Technology & Society, 15(3), 27-41.

共引文献161

同被引文献12

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部