国内外深度学习研究主题热点及发展趋势——基于共词分析的可视化研究

Research on Topics and Trends of Deep Learning:Visualization Study Based on Co-word Analysis

在当前深化面向学生核心素养发展的课程教学改革背景下,深度学习已成为国内外教育领域研究的重点与热点。研究通过高频关键词共词聚类分析,对国内外深度学习研究主题进行分类;通过社会网络分析,分析国内外深度学习研究热点并对其未来发展趋势做出预测。研究结果表明,国内外深度学习领域研究主要集中在以下几个方面:深度学习相关理论概念的探究;深度学习过程及影响因素研究;深度学习的教学策略及案例研究;深度学习的评价研究以及信息技术支持的深度学习研究。国内外深度学习领域研究的发展趋势为:目标旨向从学生三维能力走向核心素养发展;关注领域从正式学习走向正式学习与非正式学习的融合;问题选取从良构问题导向走向非良构问题;从学科核心走向跨学科;评价取向从总结性评价导向走向表现性评价导向;技术应用从技术支持导向走向智慧教育导向。

In the context of the current curriculum reform that focuses on the development of students' core literacy, deep learning has become a hotspot in the education field at home and abroad. This study classifies the research themes of deep learning through co-word cluster analysis of high-frequency keywords. Through social network analysis, we can gasp the research hotspots and future development trend of deep learning. The research results show that the study on deep learning mainly focuses on the following aspects: the exploration of deep learning related theoretical concepts, the process and influencing factors of deep learning, teaching strategies and case studies of deep learning, the evaluation of deep learning and deep learning study supported by information technology. The development trend of deep learning is as follow: the teaching objectives developed from students' three-dimensional ability to core competence, The learning environment changed from formal learning to the integration of formal and informal learning, the problem need to be solved changed from the good structure problem to the non-good structure problem, the teaching contents changed from single discipline to interdisciplinary learning, the valuation orientation goes from summative evaluation to performance evaluation, the technology application is oriented from technical support to intelligence education.