TY - CPAPER
KW - Abstracting
KW - CiteSpace
KW - Co-citation networks
KW - Discipline constructions
KW - Education computing
KW - Ethnic Minorities
KW - Intangible cultural heritages
KW - Knowledge representation
KW - LDA model
KW - Latent Dirichlet allocation
KW - Quality education
KW - Research frontiers
KW - Sports
KW - Statistics
KW - Students
KW - Visualization
KW - Visualization analysis
KW - Bibliometrics
KW - dance teaching
KW - Knowledge graph
AU - W. Jia
AU - P. Zhong
AB - 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.
C2 - Proc. - Int. Conf. Inf. Sci. Educ., ICISE-IE
DO - 10.1109/ICISE51755.2020.00025
LA - English
N1 - Journal Abbreviation: Proc. - Int. Conf. Inf. Sci. Educ., ICISE-IE
N2 - 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.
PB - Institute of Electrical and Electronics Engineers Inc.
PY - 2020
SN - 9781665422611 (ISBN)
SP - 83
EP - 94
TI - A Visualization Study of Dance Teaching in China Based on the LDA Model and CSSCI Database (1998-2020)
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105978386&doi=10.1109%2fICISE51755.2020.00025&partnerID=40&md5=01a8a709a8986635ddf253adc9fe1ec8
ER -