[1]孙洪涛,郑勤华.教育大数据的核心技术、应用现状与发展趋势[J].远程教育杂志,2016,(05):041-49.[doi:10.15881/j.cnki.cn33-1304/g4.2016.05.004]
 Sun Hongtao,Zheng Qinhua.The Technology, Application and Trends of Educational Big Data[J].Distance Education Journal,2016,(05):041-49.[doi:10.15881/j.cnki.cn33-1304/g4.2016.05.004]
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教育大数据的核心技术、应用现状与发展趋势()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2016年05期
页码:
041-49
栏目:
理论前沿
出版日期:
2016-09-13

文章信息/Info

Title:
The Technology, Application and Trends of Educational Big Data
作者:
孙洪涛; 郑勤华
1.中央民族大学 现代教育技术部,北京 100081; 2.北京师范大学 教育学部,北京 100875
Author(s):
Sun Hongtao; Zheng Qinhua
1.Educational Technology Center, Minzu University of China, Beijing 100081;2. Faculty of Education, Beijing Normal University, Beijing 100875
关键词:
教育大数据大数据技术数据湖雾计算人工智能适应性学习精准管理
Keywords:
Educational big data Big data technology Data lake Fog computing Artificial intelligence Adaptive learning Precise management
分类号:
G434
DOI:
10.15881/j.cnki.cn33-1304/g4.2016.05.004
文献标志码:
A
摘要:
大数据领域近年来蓬勃发展。作为大数据的细分领域,教育大数据具有推动教育变革的巨大潜力。大数据技术正在快速演进之中,为大数据应用提供了新的可能。为了深入分析教育大数据发展,该文从大数据技术的最新进展入手,从基础设施,分析技术和领域应用方面阐述了大数据的发展趋势。进而通过教育领域大数据构成与特征的分析,对教育大数据的含义进行了解析。并结合国际范围内教育大数据典型实践,从适应性教学、教育规律发现和精准管理支持的角度,对教育大数据应用进行了探讨。最后该文针对我国教育大数据的发展状况,对教育大数据发展所面临的挑战进行了分析,并提出了应对挑战的建议。
Abstract:
Big Data develops fast in recent years. As a branch of Big Data, Educational Big Data has enormous potential to promote education reform. The technology of Big Data is rapidly evolving, which provides new possibilities to educational usage. To in-depth analysis of Big Data in Education, this paper describes the latest progress of Big Data technology from the point views of infrastructure building, analytical technology and field application. Then through the analysis of the component and characteristics of educational data, the meaning of Educational Big Data was elaborated. Based on the international best practice of Educational Big Data, the application of Big Data in Education field was analyzed from the perspectives of the adaptive learning, education rules and precise management. Finally, this paper summarizes the challenges of Educational Big Data and suggests possible solutions.

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备注/Memo

备注/Memo:
基金项目:本文系北京师范大学自主科研基金项目“学习者在线学习状态分析与可视化工具研发”(SKZZB2015013)课题成果,获得中央高校基本科研业务费专项资金资助。
更新日期/Last Update: 2016-09-14