The Development Trend of Innovative Teaching of Dance in Colleges and Universities Based on Clustering Algorithm in the Context of Big Data

Author:

Zhang Cong1

Affiliation:

1. 1 Shanghai Institute of Visual Arts , Shanghai , , China .

Abstract

Abstract This paper establishes a model for teaching dance innovation in colleges and universities based on big data. Using a clustering algorithm to obtain the characteristics of dance teaching using affiliation assignment calculation to maximize the fuzzy indicators, the dance innovation teaching indicators are divided to improve the assessment accuracy. The optimization of dance teaching assessment indicators is normalized to complete the data processing and clustering in the teaching system and combined with the user preference to divide the student group based on similar characteristics. The results show that 45.00% of the student’s performance ability of physical balance is excellent, and the dance teaching classroom question score is 93. Big data technology can effectively integrate and categorize the existing dance teaching resources in colleges and universities, thus improving the quality of dance teaching.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference21 articles.

1. Sun, J. (2018). Development strategy of dance education in digital era. Kuram ve Uygulamada Egitim Bilimleri, 18(6).

2. Yang, X. (2022). Analysis of the construction of dance teaching system based on digital media technology. Journal of Interconnection Networks, 22(5).

3. Li, X. (2017). Research and development of dance video teaching system based on mvc. Boletin Tecnico/Technical Bulletin, 55(17), 755-761.

4. Lyu, Y., & Tang, H. (2017). Study on the sports dance teaching based on virtual environment. Boletin Tecnico/Technical Bulletin, 55(16), 346-353.

5. Chu, Q. (2021). Structure and status quo in the promotion of dance education and teaching based on digital network communication. International Journal of Electrical Engineering Education, 34.

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