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教育大数据的平台构建与关键实现技术 被引量:56

Platform Construction and Key Implementation Technologies of Educational Big Data
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摘要 大数据现已成为驱动教育变革与创新的强劲力量,而平台建设是教育大数据落地的关键之所在,它覆盖了从数据采集、存储计算、分析挖掘到具体应用的整个生命周期。文章首先从广义的角度,对教育大数据的内涵进行了再认识。随后,文章基于教育大数据平台的需求分析,设计了教育大数据平台的架构。最后,文章从学习行为大数据采集、教育大数据存储与计算以及教育大数据分析挖掘三个方面,对平台的关键实现技术进行了研究。文章的研究可为教育大数据的理论研究与实践应用打下平台基础。 The big data has become to be a powerful driving force for educational reform and innovation. In addition, the platform construction is the key to the landing of educational big data, which covered the entire life cycle from data acquisition, storage calculation, analysis mining to specific application. Firstly, this paper recognized the connotation of educational big data from a broad perspective. Then, the architecture of the platform for educational big data was designed based on the requirements analysis of the platform for educational big data. Finally, this paper investigated the key implementation technologies of the platform from three aspects of the big data acquisition of learning behavior, data storage and computing of educatior^al big data, and the analysis mining of educational big data. The results of this paper could lay a foundation for the theoretical research and practical application of educational big data.
作者 李振 周东岱 刘娜 董晓晓 钟绍春 LI Zhen;ZHOU Dong-dai;LIU Na;DONG Xiao-xiao;ZHONG Shao-chun(School of Information Science and Technology, Northeast Normal University, Changchun, Jilin, China 130117;Science and Technology Innovation Center in "Internet +" Education of Jilin Province, Changchun, Jilin, China 130117;Engineering Research Center of E-Learning Suppomng Technology, Ministry of Education, Changehun, Jilin, China 13 0117)
出处 《现代教育技术》 CSSCI 北大核心 2018年第1期100-106,共7页 Modern Educational Technology
基金 2016年度吉林省科技发展计划项目"基于互联网的区域教育均衡发展信息系统及应用示范"(项目编号:20160203011GX)的阶段性研究成果
关键词 教育大数据 数据采集 存储与计算 分析挖掘 educational big data data acquisition storage and computing analysis mining
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  • 1顾小清,王炜.支持教师专业发展的课堂分析技术新探索[J].中国电化教育,2004(7):18-21. 被引量:334
  • 2大数据[EB/OL].2013.0319http://baike.baidu.corn/view/6954399.htm.
  • 3FLYNN M J.Some computer organizations and their effectiveness[J].IEEE Transactions on Computers.1972,21(9):948-960.
  • 4ISARD M,BUDIU M,YU Y,et al.Dryad:distributed data-parallel programs from sequential building blocks[C]//Proceedings of ACM SIGOPS/EuroSys European Conference on Computer Systems (SIGOPS 2007).Lisbon,Portugal:ACM,2007:59-72.
  • 5DEAN J,GHEMAWAT S.MapReduce:a flexible data processing tool[J].Commun ACM 2010,53(1):72-77.
  • 6CAFARELLA M,CUTTING D.Building Nutch:Open Source Search[J].Queue,2004,2(2):54-61.
  • 7RABKIN A,KATZ R.Chukwa:a system for reliable large-scale log collection[C]//Proceedings of the International Conference on Llarge Installation System Administration (LISA 2010).San Jose,CA:[s.n.]2010:1-15.
  • 8HUNT P,KONAR M,JUNQUEIRA F P,et al.ZooKeeper:wait-free coordination for interuet-scale systems[C]//Proceedings of the USENIX Conference on USENIX Annual Technical Conference (USENIXATC 2010).Boston,MA:[s.n.],2010:11-11.
  • 9OLSTON C,REED B,SRIVASTAVA U,et al.Pig latin:a not-so-foreign language for data processing[C]//Proceedings of the ACM SIGMOD international conference on management of data (SIGMOD 2008).Vancouver,Canada:[s.n.],2008:1099-1110.
  • 10THUSOO A,SARMA J S,JAIN N,et al.Hive:a warehousing solution over a map-reduce framework[J].Proceedings of the VLDB Endowment (VLDB 2009).2009,2(2):1626-1629.

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