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

<p>The study used cluster analysis and decision tree modeling to construct a multivariate data fusion physical fitness evaluation model, and also built a physical fitness core literacy evaluation model through factor analysis and fuzzy comprehensive evaluation method. These two evaluation models were subsequently applied to physical education and health teaching in colleges and universities to measure the quality of physical education teaching in colleges and universities and students’ physical health status. By analyzing the practice of physical education teaching in colleges and universities, it was found that the pull-up program had the worst performance in students’ physical fitness test, with a score of 287. In addition, the lung capacity and 50-meter dash programs contributed the most to students’ total performance, with scores of 1,291 and 1,245, respectively. From the perspective of physical education and health teaching quality, the scores of teaching situation, teaching management and biological education school effectiveness were 4.68, 4.01 and 4.52, respectively, and all of these evaluation grades were good. This study provided an accurate and scientific analysis of the overall quality of physical education and health teaching in universities and the health status of students.</p>
</abstract>

The study used cluster analysis and decision tree modeling to construct a multivariate data fusion physical fitness evaluation model, and also built a physical fitness core literacy evaluation model through factor analysis and fuzzy comprehensive evaluation method. These two evaluation models were subsequently applied to physical education and health teaching in colleges and universities to measure the quality of physical education teaching in colleges and universities and students’ physical health status. By analyzing the practice of physical education teaching in colleges and universities, it was found that the pull-up program had the worst performance in students’ physical fitness test, with a score of 287. In addition, the lung capacity and 50-meter dash programs contributed the most to students’ total performance, with scores of 1,291 and 1,245, respectively. From the perspective of physical education and health teaching quality, the scores of teaching situation, teaching management and biological education school effectiveness were 4.68, 4.01 and 4.52, respectively, and all of these evaluation grades were good. This study provided an accurate and scientific analysis of the overall quality of physical education and health teaching in universities and the health status of students.

Teaching Core Literacy in College Physical Education and Health Courses Based on Multiple Data Integration

Applied Mathematics and Nonlinear Sciences

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

The study used cluster analysis and decision tree modeling to construct a multivariate data fusion physical fitness evaluation model, and also built a physical...

Teaching Core Literacy in College Physical Education and Health Courses Based on Multiple Data Integration

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 10. Jan. 2024

Akzeptiert: 18. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0507

Schlüsselwörter
Cluster analysis, Decision tree model, Fuzzy comprehensive evaluation, Physical fitness evaluation, Teaching quality evaluation

© 2024 Qi Yu, published by Sciendo

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

Teaching Core Literacy in College Physical Education and Health Courses Based on Multiple Data Integration

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 10. Jan. 2024

Akzeptiert: 18. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0507

SchlüsselwörterCluster analysis, Decision tree model, Fuzzy comprehensive evaluation, Physical fitness evaluation, Teaching quality evaluation

© 2024 Qi Yu, published by Sciendo

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

Schlüsselwörter
Cluster analysis, Decision tree model, Fuzzy comprehensive evaluation, Physical fitness evaluation, Teaching quality evaluation