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<p>This paper takes the experimental design of the flipped classroom teaching mode under digital information technology as the entry point, chooses the appropriate research object and method, and designs the experimental program of flipped classroom teaching in college sports. Since the teaching effect of the flipped classroom teaching mode needs to be supported by students’ movement data, this paper utilizes the least squares distance to match and retrieve the data of students’ movement postures and then combines it with the ANN model to deeply mine the students’ movement data. For the teaching effect of the flipped classroom teaching mode, innovative practices are carried out for physical education teaching in colleges and universities. The results show that when the linear correlation coefficient of the ANN model is 1, the lowest value of validation loss is 2.1*10<sup>−4</sup>. The flipped classroom teaching mode can effectively enhance students’ physical fitness. The mean value of students in the experimental group in the learning motivation dimension has been improved by 5.44 points compared with the preexperimentation period. The results of the T-test of the sports concern and learning satisfaction are all significant differences at the 1% level. The combination of flipped classrooms and college physical education teaching in a digital environment can improve the effectiveness of physical education teaching and increase students’ interest in physical education learning.</p>
</abstract>

This paper takes the experimental design of the flipped classroom teaching mode under digital information technology as the entry point, chooses the appropriate research object and method, and designs the experimental program of flipped classroom teaching in college sports. Since the teaching effect of the flipped classroom teaching mode needs to be supported by students’ movement data, this paper utilizes the least squares distance to match and retrieve the data of students’ movement postures and then combines it with the ANN model to deeply mine the students’ movement data. For the teaching effect of the flipped classroom teaching mode, innovative practices are carried out for physical education teaching in colleges and universities. The results show that when the linear correlation coefficient of the ANN model is 1, the lowest value of validation loss is 2.1*10−4. The flipped classroom teaching mode can effectively enhance students’ physical fitness. The mean value of students in the experimental group in the learning motivation dimension has been improved by 5.44 points compared with the preexperimentation period. The results of the T-test of the sports concern and learning satisfaction are all significant differences at the 1% level. The combination of flipped classrooms and college physical education teaching in a digital environment can improve the effectiveness of physical education teaching and increase students’ interest in physical education learning.

Innovative Practice of Physical Education Teaching in Colleges and Universities in the Context of “Digital” Education

Applied Mathematics and Nonlinear Sciences

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

This paper takes the experimental design of the flipped classroom teaching mode under digital information technology as the entry point, chooses the...

Innovative Practice of Physical Education Teaching in Colleges and Universities in the Context of “Digital” Education

Online veröffentlicht: 20. Dez. 2023

Seitenbereich: -

Eingereicht: 09. März 2023

Akzeptiert: 30. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01562

Schlüsselwörter
Least squares distance, ANN model, Motor posture retrieval, Linear correlation coefficient, Physical education

© 2023 Lihong Zheng et al., published by Sciendo

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

Innovative Practice of Physical Education Teaching in Colleges and Universities in the Context of “Digital” Education

Online veröffentlicht: 20. Dez. 2023

Seitenbereich: -

Eingereicht: 09. März 2023

Akzeptiert: 30. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01562

SchlüsselwörterLeast squares distance, ANN model, Motor posture retrieval, Linear correlation coefficient, Physical education

© 2023 Lihong Zheng et al., published by Sciendo

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

Schlüsselwörter
Least squares distance, ANN model, Motor posture retrieval, Linear correlation coefficient, Physical education