<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper establishes a model for teaching dance innovation in colleges and universities based on big data. Using a clustering algorithm to obtain the...

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

Online veröffentlicht: 13. Nov. 2023

Seitenbereich: -

Eingereicht: 22. Jan. 2023

Akzeptiert: 24. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01113

Schlüsselwörter
College dance, Innovative teaching, Affiliation assignment, User preferences, Fuzzy indicators

© 2023 Cong Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 13. Nov. 2023

Seitenbereich: -

Eingereicht: 22. Jan. 2023

Akzeptiert: 24. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01113

SchlüsselwörterCollege dance, Innovative teaching, Affiliation assignment, User preferences, Fuzzy indicators

© 2023 Cong Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
College dance, Innovative teaching, Affiliation assignment, User preferences, Fuzzy indicators