Multi-Attribute Fuzzy Evaluation of the Teaching Quality of Dancesport Major

Authors

  • Bin Liu Baoji University of Arts and Sciences, Baoji, China

DOI:

https://doi.org/10.3991/ijet.v15i22.18201

Abstract


The teaching quality of dancesport is affected by multiple factors. Facing uncertain information, there is not yet a perfect indicator system to evaluate the teaching quality of dancesport. This paper attempts to develop a multi-attribute fuzzy evaluation model for dancesport teaching quality. Firstly, the connotations of dancesport teaching quality were identified through theoretical analysis. Next, the evaluation indicator system for dancesport teaching quality was improved based on the connotations. After that, a multi-attribute fuzzy evaluation model was established, drawing on fuzzy theory and grey system theory. Finally, several suggestions were presented to improve the teaching quality of dancesport. The research results provide an effective way to accurately measure dancesport teaching quality.

Author Biography

Bin Liu, Baoji University of Arts and Sciences, Baoji, China

Bin Liu, Male, Lecturer, bachelor degree in Physical Education from the Linyi University, master degree in Xi'an Physical Education University, master degree in Physical Education and training, 2011-present in Baoji University of Arts and Sciences, engaged in physical education teaching and training, has led the team to participate in the provincial, national dancesport competition, and received a number of first & second prizes, published related papers 6, participate in the project 4; He is currently a doctoral candidate at the Sultan Idris Education University, Malaysia.

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Published

2020-11-30

How to Cite

Liu, B. (2020). Multi-Attribute Fuzzy Evaluation of the Teaching Quality of Dancesport Major. International Journal of Emerging Technologies in Learning (iJET), 15(22), pp. 177–191. https://doi.org/10.3991/ijet.v15i22.18201

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Papers