Construction and Research of Aerobics Teaching Evaluation Platform in Colleges and Universities in the Age of Digital Technology

Author:

Wang Haiying1,Liu Song1

Affiliation:

1. College of Physical Education , West Anhui University , Lu’an , Anhui , , China .

Abstract

Abstract As digital technology advances, college aerobics instruction must evolve to enhance teaching efficiency and quality through tech-based solutions. Traditional aerobics evaluation faces challenges like subjectivity, delayed feedback, and inefficiency, hindering quality improvement and modern teaching management. This study introduces a novel, efficient, scientific evaluation platform for aerobics teaching, focusing on quantitative assessment and refined management. The platform demonstrates significant benefits by developing an evaluation index system, utilizing a genetic algorithm for index weight optimization, and employing a fuzzy comprehensive evaluation method for teacher performance. Results show enhanced student satisfaction, a notable 14.81% increase in assessment scores among the experimental group, and improved skill quality and application. This platform offers a fresh perspective and pathway for elevating aerobics teaching in higher education.

Publisher

Walter de Gruyter GmbH

Reference18 articles.

1. Zhang, X., Yang, X., & Yang, J. (2021). Teaching evaluation algorithm based on grey relational analysis. Complexity, 2021.

2. Yu, Y., & Qi, A. (2018). Teaching system of smart learning environment for aerobics course. International Journal of Emerging Technologies in Learning, 13(5), 165.

3. Villanueva, K. A., Brown, S. A., Pitterson, N. P., Hurwitz, D. S., & Sitomer, A. (2017). Teaching evaluation practices in engineering programs: current approaches and usefulness. International Journal of Engineering Education, 33(4), 1317-1334.

4. Dan, M., & Yi, H. (2018). Research on college aerobics education methods and teaching innovation from the perspective of cooperative governance. International Journal for Engineering Modelling, 31(1), 207-214.

5. Liu, G. (2022). Construction of the mathematical model for teaching classroom evaluation in colleges and universities using an optimized apriori algorithm. Mobile information systems(Pt.26), 2022.

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