我国人工智能教育研究进展与前瞻——基于CNKI期刊文献的统计分析
|
摘要
基于中国知网(CNKI)期刊文献的检索统计发现,我国人工智能教育(AI education)研究的学科分布非常广泛,但也存在不均衡性;研究主题集中在"智慧教育""个性化学习""专家系统""深度学习"等方面;北京市期刊发表人工智能教育研究成果最多,师范类院校是人工智能教育研究的重镇;研究视域聚焦于基础理论、基础教育和高等教育,应用对策研究成果不多;高被引论文多是合作的成果,但高产作者大多未成为高被引论文作者。展望未来,要进一步深化理论研究、拓展视野范围、加强队伍建设、强化经费保障,确保人工智能教育研究有序推进和高质量发展。
Based on the research statistical of CNKI journal literature, we found that the disciplines distributed of AI education study are widely, but they are also imbalance; the research topic focused on "intelligence education""personnel learning""expert system""in-depth learning" and so on; Beijing's journals publish the most study results of AI education, and normal universities are the key of AI education; the research field focuses on the basic theory, basic education and higher education, and the study results of applied countermeasure are few; the most highly cites papers are collaborative results, but most of high-yielding authors have not become highly being cited authors. Looking forward to the future, we should further deepen theoretical study, broaden the scope of vision, strengthen team building and intensify funding guarantee, to ensure the high-quality development of study on AI education.
Based on the research statistical of CNKI journal literature, we found that the disciplines distributed of AI education study are widely, but they are also imbalance; the research topic focused on "intelligence education""personnel learning""expert system""in-depth learning" and so on; Beijing's journals publish the most study results of AI education, and normal universities are the key of AI education; the research field focuses on the basic theory, basic education and higher education, and the study results of applied countermeasure are few; the most highly cites papers are collaborative results, but most of high-yielding authors have not become highly being cited authors. Looking forward to the future, we should further deepen theoretical study, broaden the scope of vision, strengthen team building and intensify funding guarantee, to ensure the high-quality development of study on AI education.
引文
[1]国务院.新一代人工智能发展规划[EB/OL].(2017-07-20)[2018-12-22].http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm.
[2]王正旋.人工智能技术在教育中的应用[J].计算机科学,1984(2):33-34.
[3]闫志明,唐夏夏,秦璇,等.教育人工智能(EAI)的内涵、关键技术及应用趋势:美国《为人工智能的未来做好准备》和《国家人工智能研发战略规划》报告解析[J].远程教育杂志,2017(1):26-35.
[2]王正旋.人工智能技术在教育中的应用[J].计算机科学,1984(2):33-34.
[3]闫志明,唐夏夏,秦璇,等.教育人工智能(EAI)的内涵、关键技术及应用趋势:美国《为人工智能的未来做好准备》和《国家人工智能研发战略规划》报告解析[J].远程教育杂志,2017(1):26-35.