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

<p>This paper researches the teaching reform of the integration of sports and civic politics in the new era, and the addition of sports elements in civic politics education can achieve the mutual integration of the two. A personalized Civic and Political teaching model is constructed by combining the attention mechanism based on a recurrent neural network. Based on the personalized teaching model, a model of students’ academic ability in Civics and Politics is established. The EERNN model predicts the next Civics and Politics test scores and assists teachers in proactively intervening. The path of sports Civics integration is proposed from three aspects: increasing the implementation of sports Civics education, improving the awareness of Civics education of physical education teachers, and supervising the integration of students’ sports Civics thinking. Set up an experiment that compares the cognition of students in the experimental and control classes on health indicators and Civics elements. Analyze the student’s learning behaviors and the results after using the personalized recommendation Civics teaching model. The results of the experiment show that the students’ Civics elements of the seven dimensions improved after the experiment, respectively, by 3.05, 2.17, 3.79, 2.16, 2.67, 3.24, and 2.77. The Civics scores of the students in the experimental class increased from 113.89 to 123.48. The personalized learning model effectively enhanced the effectiveness of students’ civics learning.</p>
</abstract>

This paper researches the teaching reform of the integration of sports and civic politics in the new era, and the addition of sports elements in civic politics education can achieve the mutual integration of the two. A personalized Civic and Political teaching model is constructed by combining the attention mechanism based on a recurrent neural network. Based on the personalized teaching model, a model of students’ academic ability in Civics and Politics is established. The EERNN model predicts the next Civics and Politics test scores and assists teachers in proactively intervening. The path of sports Civics integration is proposed from three aspects: increasing the implementation of sports Civics education, improving the awareness of Civics education of physical education teachers, and supervising the integration of students’ sports Civics thinking. Set up an experiment that compares the cognition of students in the experimental and control classes on health indicators and Civics elements. Analyze the student’s learning behaviors and the results after using the personalized recommendation Civics teaching model. The results of the experiment show that the students’ Civics elements of the seven dimensions improved after the experiment, respectively, by 3.05, 2.17, 3.79, 2.16, 2.67, 3.24, and 2.77. The Civics scores of the students in the experimental class increased from 113.89 to 123.48. The personalized learning model effectively enhanced the effectiveness of students’ civics learning.

Research on the Teaching Reform of Physical Education Combined with Civic and Political Education in the New Era under the Background of Big Data

Faculty of Sport and Leisure of Guangdong Ocean University

Applied Mathematics and Nonlinear Sciences

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

This paper researches the teaching reform of the integration of sports and civic politics in the new era, and the addition of sports elements in civic politics...

Research on the Teaching Reform of Physical Education Combined with Civic and Political Education in the New Era under the Background of Big Data

Online veröffentlicht: 06. Dez. 2023

Seitenbereich: -

Eingereicht: 10. Feb. 2023

Akzeptiert: 16. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01383

Schlüsselwörter
Big data, Personalized teaching model, Recurrent neural network, Attention mechanism, EERNN model

© 2023 Zeyong Chen, published by Sciendo

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

Research on the Teaching Reform of Physical Education Combined with Civic and Political Education in the New Era under the Background of Big Data

Online veröffentlicht: 06. Dez. 2023

Seitenbereich: -

Eingereicht: 10. Feb. 2023

Akzeptiert: 16. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01383

SchlüsselwörterBig data, Personalized teaching model, Recurrent neural network, Attention mechanism, EERNN model

© 2023 Zeyong Chen, published by Sciendo

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

Schlüsselwörter
Big data, Personalized teaching model, Recurrent neural network, Attention mechanism, EERNN model