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<p>The development and use of Internet technology have led to a reform of college physical education, which presents new difficulties for the study of the strategies for ideological and political education in this setting. This study examines the descriptive perspective encoder, structural perspective encoder, and knowledge graph comparison learning algorithm of the KGCL model, as well as the relevance analysis of correlation coefficients based on the Bayesian algorithm and KGCL model. Second, it concentrates on classifying the teaching methods for college physical education in the context of the Internet and on the online practical teaching interaction approach for this discipline. It is investigated how ideological and political education might be included in the online instruction of college athletics. Lastly, students’ cognitive analysis and students’ evaluative analysis of the application of ideological and political knowledge in college physical education are undertaken using Internet technology to integrate ideological and political education in college physical education. According to the study, 24.9% of respondents believe that the ideological and political information given in physical education fully satisfies student needs, 30.9% believe that it can only partially satisfy student requirements, and 8.8% believe that it cannot fully satisfies student needs. Internet technology can therefore further the study of political and ideological education strategies in college physical education.</p>
</abstract>

The development and use of Internet technology have led to a reform of college physical education, which presents new difficulties for the study of the strategies for ideological and political education in this setting. This study examines the descriptive perspective encoder, structural perspective encoder, and knowledge graph comparison learning algorithm of the KGCL model, as well as the relevance analysis of correlation coefficients based on the Bayesian algorithm and KGCL model. Second, it concentrates on classifying the teaching methods for college physical education in the context of the Internet and on the online practical teaching interaction approach for this discipline. It is investigated how ideological and political education might be included in the online instruction of college athletics. Lastly, students’ cognitive analysis and students’ evaluative analysis of the application of ideological and political knowledge in college physical education are undertaken using Internet technology to integrate ideological and political education in college physical education. According to the study, 24.9% of respondents believe that the ideological and political information given in physical education fully satisfies student needs, 30.9% believe that it can only partially satisfy student requirements, and 8.8% believe that it cannot fully satisfies student needs. Internet technology can therefore further the study of political and ideological education strategies in college physical education.

Research on the method of ideological and political education in college physical education based on knowledge mapping

Applied Mathematics and Nonlinear Sciences

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

The development and use of Internet technology have led to a reform of college physical education, which presents new difficulties for the study of the...

Research on the method of ideological and political education in college physical education based on knowledge mapping

Publié en ligne: 04 oct. 2023

Pages: -

Reçu: 21 oct. 2022

Accepté: 14 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00494

Mots clés
Bayesian algorithm, KGCL model, Knowledge mapping, Ideological and political education

© 2023 Wen Yan et al., published by Sciendo

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

Research on the method of ideological and political education in college physical education based on knowledge mapping

Publié en ligne: 04 oct. 2023

Pages: -

Reçu: 21 oct. 2022

Accepté: 14 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00494

Mots clésBayesian algorithm, KGCL model, Knowledge mapping, Ideological and political education

© 2023 Wen Yan et al., published by Sciendo

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

Mots clés
Bayesian algorithm, KGCL model, Knowledge mapping, Ideological and political education