Research on the Practical Path and Intelligent Teaching Strategy of Marxist Chineseization in the Ideological and Political Education of College Students in the New Era

• Published in: Applied mathematics and nonlinear sciences Vol. 9; no. 1
• Main Author: Wang, Shuangxi
• Format: Journal Article
• Language: English
• Published: Beirut Sciendo 01.01.2024; De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
• Subjects: 00A35; Curricula; Education; Ideological and political education; Ideology; Linear regression model; Marxism; Pearson coefficient; Questionnaires; Regression coefficient; Teaching methods
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns-2024-2841

This paper delves into the practical application of Marxist Chineseization in Civic and Political Education, providing an overview of its definition. Exploratory factor analysis and reliability analysis were used to complete the questionnaire design work after selecting the research subjects. Based on this questionnaire, research data were collected, and statistical methods such as Pearson’s correlation coefficient and linear regression model were applied to explore the current situation of ideological and political education under the perspective of Marxist Chineseization. The results show that the mean values of the dimensions of ideological and political education under the field of Marxist Chineseization are ranked as Curriculum (3.9348) > Teachers’ Teaching Materials (3.8273) > Practical System (3.7381) > Daily Civics (3.6411). In addition, there is a significant difference between ideological and political education in the field of Marxist Chineseization and the demographic characteristics of the survey sample (P<0.05), and the regression coefficient of the curriculum is 0.364, which is higher than the regression coefficients of the other variables, indicating that the curriculum is the most important for the enhancement of the effect of ideological and political education under the field of Marxist Chineseization. Finally, we propose intelligent teaching strategies based on the analysis results.