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

<p>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.</p>
</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.

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

Applied Mathematics and Nonlinear Sciences

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

As digital technology advances, college aerobics instruction must evolve to enhance teaching efficiency and quality through tech-based solutions. Traditional...

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

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 02. Feb. 2024

Akzeptiert: 09. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0796

Schlüsselwörter
Aerobics teaching, Hierarchical analysis, Genetic algorithm, Fuzzy comprehensive judgment

© 2024 Haiying Wang et al., published by Sciendo

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

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

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 02. Feb. 2024

Akzeptiert: 09. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0796

SchlüsselwörterAerobics teaching, Hierarchical analysis, Genetic algorithm, Fuzzy comprehensive judgment

© 2024 Haiying Wang et al., published by Sciendo

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

Schlüsselwörter
Aerobics teaching, Hierarchical analysis, Genetic algorithm, Fuzzy comprehensive judgment