摘要
随着大数据理念的发展,教育领域海量的数据被记录和收集。如何充分利用教育数据辅助教育决策成为下一步教育大数据研究的主要趋势。教育大数据应用的关键在于挖掘数据背后的教育现象和教育规律。基于此,该研究以教育大数据的结构嬗变作为研究的出发点,分析了教育大数据结构的复杂性,提出了锥体网状的大数据结构。锥体网状数据结构的提出解决了教育数据挖掘的路径问题和系统升级再造问题,促进了以数据为基础的新型教育体系的构建。
With the development of big data concept, massive data in education field is recorded and collected. How to make full use of educational data to assist educational decision-making has become the main trend in the next step of educational big data research. The key to the application of educational big data lies in mining the educational phenomena and laws behind the data. Based on this, this study takes the structural evolution of educational big data as the starting point, analyzes the complexity of educational big data structure, and proposes a large pyramidal network data structure. The proposed of pyramidal network data structure solves the path problem of education data mining and the problem of system upgrading and reconstruction, and promotes the construction of a new education system based on data.
作者
孙志伟
李小平
Sun Zhiwei, Li Xiaoping(Institute of Educational Technology, Beijing Institute of Technology, Beijing 10008)
出处
《中国电化教育》
CSSCI
北大核心
2018年第11期111-117,共7页
China Educational Technology
关键词
教育大数据
数据挖掘
锥体结构
挖掘路径
系统整合
Educational Big Data
Data Mining
Pyramidal Structure
Mining Path
System Integration
