摘要
深度学习作为一种教育理想一直备受各界关注。以CNKI数据库近年收的381篇关键词为深度学习的中文核心期刊论文为研究对象,综合利Bicomb2.0软件和Citespace5.4软件,对文献量、研究机构、关键词等内容进行分析发现:当前国内深度学习的相关研究成果较少,机构间的合作性不强;研究主题主要集中在深度学习本体理论的研究、深度学习在教学方面的模式和策略的研究、实施深度学习所需要的条件和环境的研究、深度学习实践应用的实证研究、深度学习评价方面的研究和对学习者的研究;深度学习的研究正由教学模式、学习环境的研究逐步转向资源建设、与人工智能的结合以及教学有效性的评价等方面。
Deep learning,as a kind of ideal learning,has got a lot of attention from all sides.By typing the key word“deep learning”in CNKI database,we collected 381 Chines core journal papers as the research subject.After an analysis of the literature amount,the research institutions and the key words with Bicomb 2.0 software and Citespace 5.4 software,it is found that the domestic research results related to deep learning are relatively scarce and the cooperation between institutions are not strong;research topics mainly focus on the ontological theory of deep learning,the teaching models and strategies of deep learning,the conditions and environment needed for the implementation of deep learning,the empirical study on the practical application of deep learning,the evaluation of deep learning,and the learners;research on deep learning is changing from the teaching models and learning environment to the resources building,the combination with artificial intelligence and the evaluation of teaching efficacy.
作者
刘辉
康文彦
LIU Hui;KANG Wen-yan(School of Education,Liaoning Normal University;Department of Mathematics,Lvliang College)
出处
《教育理论与实践》
北大核心
2020年第1期50-55,共6页
Theory and Practice of Education
基金
山西省教育科学“十三 五”规划课题“提升学生数学核心素养的教学设计研究”(课题编号:GH-18106)的阶段性研究成果。
关键词
深度学习
知识图谱
可视化分析
研究主题
研究趋势
deep learning
knowledge graph
visual analysis
research topic
research trend
