摘要
提取并对比中外教育大数据研究的主题分布,揭示国内教育大数据研究的不足,为国内教育大数据的进一步发展提供策略。通过Web of Science和CNKI数据库,利用共词分析法和LDA模型获取中外教育大数据研究的主题分布。国内教育大数据研究主要集中在教育教学改革、教学模式及应用、教育数据分析和个性化学习研究、人才培养、教师专业发展5个方面;而国外的研究主要集中在技术环境研究、数据挖掘及应用、教育应用研究、用户研究、开放资源与个性化教学5个方面。通过国内外研究主题对比,国内在教育数据挖掘、教育数据保护、教育应用和教育数据开放4个方面与国外存在较大的差距,针对于国内教育大数据研究存在的不足,分别从政策法规制定、智慧校园建设、人才培养模式以及媒体融合等方面提出国内教育大数据的发展策略。
This paper extracted and compared the distribution of the education big data of Chinese and foreign,revealed the shortcomings of the research on the big data of domestic education,and provided the strategy for the further development of large domestic education data. Through the Web of Science and CNKI database,the co-word analysis and LDA model were used to obtain the thematic distribution of Chinese and foreign education data. The research of foreign education was mainly focused on five aspects: education and teaching reform,teaching mode and application,educational data analysis and personalized learning research, personnel training and teacher professional development. Foreign research mainly focused on technical environment research,data mining and application,educational application research,user research,open resources and personalized teaching five aspects. Through the comparison of research topics at home and abroad,there were four major differences in educational data mining,educational data protection,educational application and educational data liberalization in China. In view of the shortcomings of the study of large data in domestic education.The wisdom of the campus construction,personnel training model and the media integration and other aspects of the domestic education data development strategy were put forward.
出处
《现代情报》
CSSCI
北大核心
2017年第11期125-129,共5页
Journal of Modern Information
基金
国家社会科学基金项目"文献内容分析与引文分析融合的知识挖掘与发现研究"(项目编号:16BTQ074)