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

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

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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