Statistical Model of College Ideological and Political Learning Based on Fractional Differential Equations
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15 juil. 2022
À propos de cet article
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
© 2023 Songrui Liu et al., published by Sciendo
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 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.