近十五年我国深度学习热点研究——基于关键词共词分析

Research on Deep Learning in China in the Past 15 years——An Analysis Based on Keywords

为研究近15年来深度学习研究现状及相关主题热点,本研究以中国知网(CNKI)核心期刊和CSSCI两个数据库作为数据源,利用Bicomb2.0及SPSS22.0软件对筛选出的2005~2020年之间437篇深度学习相关文献进行可视化分析。结果表明,相关研究热点主要有三个方面:信息技术支持下深度学习实证研究及深度教学研究、基于深度学习相关教学策略研究以及学生学习方式研究、深度学习理论研究及教学模式变革研究。

In order to study the status quo of deep learning research and related topics in the past 15 years,this study took CNKI core journals and CSSCI databases as data sources,and used BICOMB2.0 and SPSS22.0 software to perform visual analysis on 437 deep learning related literatures selected from them from 2005 to 2020.The results show that the research focuses mainly include three aspects:empirical research on the application of deep learning and deep teaching supported by information technology,research on related teaching strategies and students'learning styles based on deep learning,research on deep learning theory and reform of teaching mode.