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

<p>In the context of practical education, deepening the reform of quality education and implementing the fundamental task of cultivating moral integrity have become the guidelines and the basis for the development of curriculum reform in colleges and universities. This study conducts data mining based on the association rule model on the influencing factors of the reform of the Civic and Political Theory Course in colleges and universities to obtain the key influencing factors in the process of the reform of the theory course. Then, under the perspective of deep learning, the idea of practical parenting is integrated, and the structural framework of Civic and Political Theory course reform is designed from four directions: learning theme, learning objectives, learning activities, and evaluation feedback, and finally, the course reform method of this paper is examined through teaching practice. The results show that the influence weights of self-factors, school education factors, family factors, and social factors are 0.3022, 0.3521, 0.1381, and 0.2076, respectively, with self-factors and school education as the key influencing factors. After the teaching practice, the P-value of each dimension of the students under the curriculum reform based on this paper is less than 0.05, and the grade of the Civics and Political Science Theory course is improved from 81.47 to 90.45, which is an increase of 7.49 points compared with the class of the regular course. The reform method based on deep learning in this study can promote students’ development and improve their academic performance, which provides a reference for the research on the reform and development of the Civics and Political Science Theory course.</p>
</abstract>

In the context of practical education, deepening the reform of quality education and implementing the fundamental task of cultivating moral integrity have become the guidelines and the basis for the development of curriculum reform in colleges and universities. This study conducts data mining based on the association rule model on the influencing factors of the reform of the Civic and Political Theory Course in colleges and universities to obtain the key influencing factors in the process of the reform of the theory course. Then, under the perspective of deep learning, the idea of practical parenting is integrated, and the structural framework of Civic and Political Theory course reform is designed from four directions: learning theme, learning objectives, learning activities, and evaluation feedback, and finally, the course reform method of this paper is examined through teaching practice. The results show that the influence weights of self-factors, school education factors, family factors, and social factors are 0.3022, 0.3521, 0.1381, and 0.2076, respectively, with self-factors and school education as the key influencing factors. After the teaching practice, the P-value of each dimension of the students under the curriculum reform based on this paper is less than 0.05, and the grade of the Civics and Political Science Theory course is improved from 81.47 to 90.45, which is an increase of 7.49 points compared with the class of the regular course. The reform method based on deep learning in this study can promote students’ development and improve their academic performance, which provides a reference for the research on the reform and development of the Civics and Political Science Theory course.

Research on the Reform and Development of Ideological and Political Theory Classes for College Students in the Context of Practical Parenting

Applied Mathematics and Nonlinear Sciences

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

In the context of practical education, deepening the reform of quality education and implementing the fundamental task of cultivating moral integrity have...

Research on the Reform and Development of Ideological and Political Theory Classes for College Students in the Context of Practical Parenting

Published Online: Aug 05, 2024

Page range: -

Received: Apr 10, 2024

Accepted: Jul 08, 2024

DOI: https://doi.org/10.2478/amns-2024-2126

Keywords
Data mining, Association rules, Deep learning, Ideology and politics

© 2024 Quan Wang, published by Sciendo

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

Research on the Reform and Development of Ideological and Political Theory Classes for College Students in the Context of Practical Parenting

Published Online: Aug 05, 2024

Page range: -

Received: Apr 10, 2024

Accepted: Jul 08, 2024

DOI: https://doi.org/10.2478/amns-2024-2126

KeywordsData mining, Association rules, Deep learning, Ideology and politics

© 2024 Quan Wang, published by Sciendo

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

Keywords
Data mining, Association rules, Deep learning, Ideology and politics