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

<p>Based on fractional differential equations, this paper focuses on the internal mechanism of college ideological and political learning. We also elaborate on its microstructure, channel characteristics, and competitive field. We put forward Gauss’s theorem and the loop theorem of the related field of ideological and political learning in colleges and universities. At the same time, the convexity theorem of the information entropy of the competitive field and the principle of maximum entropy are proved. Research shows that college students can change the relationship between student learning and society by adapting, functioning, and coordinating. We need to help students develop more effective political learning strategies.</p>
</abstract>

Based on fractional differential equations, this paper focuses on the internal mechanism of college ideological and political learning. We also elaborate on its microstructure, channel characteristics, and competitive field. We put forward Gauss’s theorem and the loop theorem of the related field of ideological and political learning in colleges and universities. At the same time, the convexity theorem of the information entropy of the competitive field and the principle of maximum entropy are proved. Research shows that college students can change the relationship between student learning and society by adapting, functioning, and coordinating. We need to help students develop more effective political learning strategies.

Statistical Model of College Ideological and Political Learning Based on Fractional Differential Equations

Xinjiang University of Finance and Economics

Applied Mathematics and Nonlinear Sciences

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

Based on fractional differential equations, this paper focuses on the internal mechanism of college ideological and political learning. We also elaborate on...

Statistical Model of College Ideological and Political Learning Based on Fractional Differential Equations

Publié en ligne: 15 juil. 2022

Pages: 1087 - 1096

Reçu: 18 févr. 2022

Accepté: 19 avr. 2022

DOI: https://doi.org/10.2478/amns.2022.2.0093

Mots clés
Fractional differential equation, University political study, Statistical model, Competition field, Information entropy

© 2023 Songrui Liu et al., published by Sciendo

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

Statistical Model of College Ideological and Political Learning Based on Fractional Differential Equations

Publié en ligne: 15 juil. 2022

Pages: 1087 - 1096

Reçu: 18 févr. 2022

Accepté: 19 avr. 2022

DOI: https://doi.org/10.2478/amns.2022.2.0093

Mots clésFractional differential equation, University political study, Statistical model, Competition field, Information entropy

© 2023 Songrui Liu et al., published by Sciendo

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

Mots clés
Fractional differential equation, University political study, Statistical model, Competition field, Information entropy