近十年深度学习与教学研究热点与趋势分析

Analysis of Hotspots and Trends in Deep Learning and Teaching Research in the Past Decade

Abstract: Deep learning is an important path to comprehensively deepen the reform of basic education curriculum and implement core competencies. To understand the hot topics and trends in deep learning research in China, BICOMB2 and SPSS26 were used to quantitatively visualize 1545 effective references on deep learning in CNKI. The results indicate that the research hotspots of deep learning in China are mainly concentrated in three areas: research on deep learning supported by information technology, teaching practice research on promoting deep learning in basic education, and research on core competency oriented deep learning in basic education. There are five major development trends in research hotspots: deep learning and teaching research on cultivating core competencies in unit teaching, subject teaching practice research based on deep learning, deep learning and teaching research guided by core competency theory, deep learning and teaching problems in blended teaching in higher education, and educational and teaching reform research based on deep learning. Through the analysis of the hot spots and trends of deep learning and teaching research in China, the research finds that the development of these fields is of great significance for promoting education reform, improving teaching quality and cultivating students’ core literacy. In addition, the research conclusion points out that the integrated practice of deep learning and teaching provides a new path for educational innovation and has a profound impact on promoting the process of educational modernization.