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我国人工智能教育研究现状及主题结构分析
作者姓名:郑娅峰  傅骞  赵亚宁
作者单位:河南财经政法大学计算机与信息工程学院;北京师范大学教育技术学院;大连海事大学综合交通运输协同创新中心
基金项目:2018年度国家自然科学基金项目“基于教育大数据的在线协作讨论过程自动化分析与实时可视化呈现研究”(项目批准号:61841702);2018年度河南省教育科学“十三五”规划一般课题“河南省创客教育区域推广策略研究”(课题编号:[2018]-JKGHYB-0097)
摘    要:人工智能教育是当前教育发展的大势所趋,自提出后受到全球教育研究者的广泛关注。为充分了解当前国内人工智能教育发展的现状,文章以CSSCI期刊库为数据源,以“人工智能”和“教育”为关键词,对相关文献进行检索分析。通过可视化方法对高被引文献、高频关键词等进行呈现,并采用聚类方法对高频关键词进行分类,详细探讨各类团的研究内容。最后,总结和讨论了人工智能教育各个领域的研究现状,并提出未来发展建议,为人工智能教育的研究发展提供借鉴。

关 键 词:人工智能教育  大数据  智慧教育  机器学习

Research Status of Artificial Intelligence Education and Analysis of Subject Structure in China
Authors:ZHENG Yafeng  FU Qian  ZHAO Yaning
Institution:(School of Computer and Information Engineering,Henan University of Economics and Law,Zhengzhou,Henan,China 450000;Faculty of Education,Beijing Normal University,Beijing,China 100875;Collaborative Innovation Center for Transport Studies,Dalian Maritime University,Dalian,Liaoning,China 116026)
Abstract:Artificial intelligence education is a big trend for current educational development,and has won a wide attention among global educational researchers since its proposition.In order to have a fully understanding of the current developing situation of artificial intelligence education in China,this paper,taking CSSCI periodical database as data source,and“artificial intelligence”and“education”as key words,has done a searching and analysis to related literature.This paper has also presented highly quoted literature and high-frequency key words through visualized method,classified the high-frequency key words through cluster method,and discussed the research content of different class groups in detail.At last,this paper has make a conclusion and discussion of the research status.
Keywords:artificial intelligence education  big data  smart education  robot learning
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