Open Access

A study on the effect of physical education content adjustment on students’ physical fitness based on data analysis

Xiaojing Yang

Xiaojing Yang

School of Physical Education, Shanxi Vocational University of Engineering Science and TechnologyJinzhong, China
Search for this author on
Sciendo|Google Scholar
Yang, Xiaojing
 and 
Yuqian Cheng

Yuqian Cheng

Weihai Informatization Office, Shandong UniversityWeihai, China
Search for this author on
Sciendo|Google Scholar
Cheng, Yuqian
  
Mar 17, 2025
A study on the effect of physical education content adjustment on students’ physical fitness based on data analysis's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Mar 17, 2025
Received: Oct 20, 2024
Accepted: Feb 14, 2025
DOI: https://doi.org/10.2478/amns-2025-0171
Keywords
© 2025 Xiaojing Yang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Key technical process model for data analysis
Key technical process model for data analysis

Figure 2.

Based on data analysis, the implementation process of the precise teaching of sports
Based on data analysis, the implementation process of the precise teaching of sports

Student health test results

variable Class Time Time factor Intervention condition Interaction term
Before After F P F P F P
Speed Laboratory 27.15±2.85 30.25±3.45 25.657 0.012 15.123 0.000 6.523 0.000
Cross-reference 26.95±2.56 27.15±2.11
Endurance Laboratory 22.65±3.15 26.15±3.42 4.815 0.000 14.352 0.000 15.185 0.032
Cross-reference 22.55±2.35 21.85±3.22
Flexibility Laboratory 17.15±2.15 20.23±2.65 12.854 0.015 11.115 0.002 6.038 0.001
Cross-reference 17.15±2.68 17.16±2.68
Power Laboratory 17.52±4.15 23.68±3.98 30.152 0.000 43.242 0.000 22.341 0.000
Cross-reference 16.68±3.15 17.11±3.11

The previous data of the three sets of class sports results

Group Class Mean Maximum Minimum High rate Excellence rate Good rate Rate of conformity Pending rate Standard deviation
A Laboratory 83.68 100 75 21% 33% 31% 15 12.35% 15.66
Cross-reference 84.56 100 73 22% 34% 30% 14% 11.52% 16.58
B Laboratory 79.56 100 70 11% 8% 37% 44% 20.08% 18.24
Cross-reference 80.33 100 71 12% 8% 37% 43% 18.54% 16.77
C Laboratory 70.15 100 65 2% 6% 35% 37% 21.11% 18.32
Cross-reference 71.23 100 65 3% 7% 34% 56% 16.23% 17.52

The results of the group A

Class Examination Mean Excellence rate Good rate Rate of conformity Low rate(%) Standard deviation
Cross-reference class Midterm 87.56 0.33 0.38 0.29 5.25 14.25
Final examination 92.12 0.30 0.40 0.30 0.00 10.12
Laboratory class Midterm 82.35 0.15 0.50 0.35 4.89 12.85
Final examination 96.75 0.35 0.25 0.10 0.00 10.45

The results of the group B

Class Examination Mean Excellence rate Good rate Rate of conformity Low rate(%) Standard deviation
Cross-reference class Midterm 85.23 0.14 0.33 0.53 25.53 15.53
Final examination 87.12 0.20 0.40 0.40 2.68 13.35
Laboratory class Midterm 80.13 0.15 0.45 0.40 10.21 11.36
Final examination 90.23 0.30 0.40 0.30 0.00 12.38

The results of the group C

Class Examination Mean Excellence rate Good rate Rate of conformity Low rate(%) Standard deviation
Cross-reference class Midterm 70.56 0.9 0.37 0.54 19.02 15.20
Final examination 83.66 0.14 0.35 0.51 1.12 14.98
Laboratory class Midterm 78.68 0.10 0.41 0.49 0.00 6.58
Final examination 87.62 0.28 0.40 0.32 0.00 14.35
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
Journal RSS Feed