摘要
数据采集是实现教育大数据应用价值潜能的基础,因此对于教育大数据建设与应用至关重要。阐述了教育大数据的采集内容、采集方式、采集手段及标准与规范,并结合当前教育大数据建设与应用中的实际问题,分别从平衡数据共享与隐私保护、驱动数据治理与人才创新、创新采集机制与相关技术3个方面,对教育大数据采集研究提出对策与建议。
The mechanism and its related technologies of data collection are the foundation of realizing the valuable potential of applying big data in education,and therefore are vital for the construction and application of big data in education.The contents,methods,means,standards and specifications of data collection of big data in education were outlined.Combining with the practical problems in the construction and application of big data in education,guidance on research on big data in education was provided,from the perspectives about balancing data sharing and privacy protection,driving data governance and talent acquisition,and improving the mechanisms and related technologies respectively.
作者
柴唤友
刘三女牙
康令云
张雅娴
李卿
刘智
CHAI Huanyou;LIU Sannyuya;KANG Lingyun;ZHANG Yaxian;LI Qing;LIU Zhi(National Engineering Research Center for E-Learning,Central China Normal University,Wuhan 430079,China;National Engineering Laboratory for Educational Big Data,Central China Normal University,Wuhan 430079,China)
出处
《大数据》
2020年第6期14-25,共12页
Big Data Research
基金
国家自然科学基金资助项目(No.61807012)
中央高校基本科研业务费专项资金资助项目(No.CCNU20QN027,No.CCNU20TS032)。
关键词
教育大数据
数据采集
数据伦理
数据治理
educational big data
data collection
data ethic
data governance
