A Visualization Study of Dance Teaching in China Based on the LDA Model and CSSCI Database (1998-2020)

Objective: Based on the topics of abstracts, times cited, and co-citation networks, this paper explores the knowledge system of dance teaching in China so as to provide a reference for future research based on bibliometrics. Method: According to the CSSCI database, a statistical analysis of Chinese research in dance teaching from 1998 to 2020 is carried out to discover implicit topics. In view of research hotspots and frontiers, this paper conducts a centrality and visualization analysis and a filtering of salient terms of research hotspots in dance teaching using CiteSpace, a knowledge graph visualization software. Also, the Latent Dirichlet Allocation model is used to extract and visualize the topics from the filtered salient terms of the abstracts. Results/Conclusion: We found that the research hotspots in dance teaching in China can be divided into 16 clusters, namely Sports Dance , Dance Art , Classical Chinese Dance , Yunnan Dance , Dance , Folk Dance , Ethnic Dance . Dance teaching , Quality Education , College Students , Ethnic Minorities . Latin Dance , Traditional Athletic Maintenance , Chorus , Fitness Value , and Physical Fitness . The research frontiers in dance teaching lie in the teaching, discovery, protection, restoration, and discipline construction of folk dance and intangible cultural heritage dance genres.