Research on Innovative Methods of Dance Teaching in Colleges and Universities under Big Data Thinking

Author:

Yang Jing1

Affiliation:

1. Hai nan Tropical Ocean University College of Art , Sanya , Hainan , , China .

Abstract

Abstract This paper combines big data technology to design and construct the choreography process of dance movements in colleges and universities, decompose the dance movement features and use Kalman filtering to process the extracted dance movement data. Through the world coordinate system to complete the modeling of dance movements, feature Comparison and center of gravity velocity movement analysis. Examples are used to analyze the feasibility of integrating big data thinking into dance teaching in colleges and universities, and the teaching effect is verified by combining students’ essential dance performance, affective performance and comprehensive ability evaluation. After applying the model, students in both classes improved their independent learning ability. Still, the difference between the experimental and control classes was significant in both dimensions of learning motivation and learning strategy, with t-values of 23.012 and 23.127, respectively, p<0.05.

Publisher

Walter de Gruyter GmbH

Reference18 articles.

1. Zeng, S. (2017). Research on the students ability evaluation and teaching effect in dance class based on aesthetic value analysis. Revista de la Facultad de Ingenieria, 32(9), 259-265.

2. Ma, F. (2021). Improving the teaching ability of dance major courses. International Journal of Emerging Technologies in Learning (iJET)(04).

3. Yang, S. (2018). Teaching mode of dance appreciation micro-course based on primary teaching theory. International Journal of Emerging Technologies in Learning (iJET), 13(8), 133.

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

5. Wang, C., Zhang, X., & Liu, L. (2017). The framework of simulation teaching system for sports dance based on virtual reality technology. Revista de la Facultad de Ingenieria, 32(15), 530-536.

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