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

被引:0
|
作者
Wang H. [1 ]
Liu S. [1 ]
机构
[1] College of Physical Education, West Anhui University, Anhui, Lu’an
关键词
Aerobics teaching; Fuzzy comprehensive judgment; Genetic algorithm; Hierarchical analysis;
D O I
10.2478/amns-2024-0796
中图分类号
学科分类号
摘要
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. © 2023 Haiying Wang and Song Liu, published by Sciendo.
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