| 刘建君,武存涛.国内深度学习研究热点及现状述评
——基于2005-2019年间文献关键词可视化分析[J].陕西学前师范学院学报,2020,36(2):51-59 |
| 国内深度学习研究热点及现状述评
——基于2005-2019年间文献关键词可视化分析 |
| A Review of the Hot Spots and Status Quo of Domestic Deep Learning Research——Based on Keyword Visualization Analysis of 2005-2019 Research Papers |
| 投稿时间：2019-10-11 修订日期：2019-10-27 |
| DOI：10. 11995 / j. issn. 2095-770X. 2020. 02. 008 |
| 中文关键词: 深度学习 共词聚类分析 研究热点 |
| 英文关键词: deep learning co-word clustering analysis research hotspots |
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| 摘要点击次数: 1968 |
| 全文下载次数: 865 |
| 中文摘要: |
| 以中国知网(CNKI)收录的2005-2019年间的2780篇深度学习相关文献为研究对象，采用共词聚类分析方法，通过谱系图梳理出我国当前深度学习领域的研究现状和热点。国内以深度学习和深度教学为主线，主要研究深度学习的发展脉络、课堂发生机制、内涵及深度教学、深度学习背景下的信息化教学模式四大类。为了获得深度学习领域更多的创新性成果，未来研究应深挖理论体系，扎根实践教学；在实证研究中深化教育机制体制建设；从学生深度学习延伸到教师深度教学；拓宽研究视角和研究场域。 |
| 英文摘要: |
| This paper takes 2780 deep learning research papers collected by China National Knowledge Infrastructure(CNKI) from 2005 to 2019 as the research object, and uses the co-word clustering analysis method and dendrogram to sort out the current research status and hotspots in the field of deep learning in China. The domestic research gives top priorityto deep learning and in-depth teaching and mainly focuses on four aspects, the development of deep learning, classroom mechanism, connotation as well as in-depth teaching, and informationization teaching mode in the context of deep learning. However, in order to obtain more innovative achievements in the field of deep learning, future research should dig deep into the theoretical system and take root in practical teaching; deepen the construction of educational mechanism in empirical research; and extend from deep learning of students to deep teaching of teachers while broadening research perspectives and research field. |
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