[1]胡水星.大数据及其关键技术教育应用实证分析[J].远程教育杂志,2015,(05):046-53.[doi:10.15881/j.cnki.cn33-1304/g4.2015.05.006]
 Hu Shuixing.An Empirical Analysis of Big Data and Its Key Technology in Educational Practice[J].Distance Education Journal,2015,(05):046-53.[doi:10.15881/j.cnki.cn33-1304/g4.2015.05.006]
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大数据及其关键技术教育应用实证分析()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2015年05期
页码:
046-53
栏目:
理论前沿
出版日期:
2015-10-01

文章信息/Info

Title:
An Empirical Analysis of Big Data and Its Key Technology in Educational Practice
作者:
胡水星
湖州师范学院 教师教育学院,浙江湖州 313000
Author(s):
Hu Shuixing
School of Teachers Education, Huzhou Teacher`s University, Huzhou, Zhejiang 313000
关键词:
大数据 学习分析 数据挖掘共词分析社会网络分析
Keywords:
Big dataLearning analyticsData mining Co-word analysis Social network analysis
分类号:
G434
DOI:
10.15881/j.cnki.cn33-1304/g4.2015.05.006
文献标志码:
A
摘要:
大数据作为信息技术发展的新趋势,已经渗透到各行各业,成为重要的生成因素。在数据分析驱动教育,变革教学的大数据时代,教育领域同样蕴藏着具有广泛应用价值的海量数据,在对教育数据挖掘和学习分析技术等教育大数据关键技术分析的基础上,结合共词分析和教育博客等社会化网络教育数据,构建教育领域的相关学习分析和数据挖掘模型,探索教育变量之间的相关关系,实践大数据教育应用,为教育教学提供有效的决策支持服务,促进教育教学的变革与创新。
Abstract:
As a new trend of the development of information technology, Big data has become an important factor in different trades. In the age when data analysis driving education and transforming teaching, there have big data with widespread application value in the field of education. Based on utilizing the key technology about data mining and learning analytics, combining with co-word analysis in education data and social networking blog, a model of learning analytics and data mining in the field of education is constructed. This model can explore the relationship between educational variables, be applied in education, provide an effective decision support service for teaching, and promote the reform and innovation of education.

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备注/Memo

备注/Memo:
基金项目:本文系全国教育科学“十二五”规划2014年度教育部重点课题“现代服务业视野下的社区教育信息化构建与实践研究”(课题批准号:DCA140232) 的研究成果。
更新日期/Last Update: 2015-10-01