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Study on the Path of Ideological and Political Education Content Diversification Construction in Colleges and Universities under New Media Technology Support

Jing Yu

Jing Yu

Cangzhou Normal UniversityCangzhou, China
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Yu, Jing
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Yongqing Cao

Yongqing Cao

Cangzhou Normal UniversityCangzhou, China
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Cao, Yongqing
  
Mar 19, 2025
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Published Online: Mar 19, 2025
Received: Oct 20, 2024
Accepted: Jan 30, 2025
DOI: https://doi.org/10.2478/amns-2025-0363
Keywords
© 2025 Jing Yu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

The correlation analysis results of the influence factors and the satisfaction
The correlation analysis results of the influence factors and the satisfaction

Figure 2.

The diversification construction of the ideological and political education content
The diversification construction of the ideological and political education content

Figure 3.

Descriptive statistical analysis of questionnaire survey
Descriptive statistical analysis of questionnaire survey

Figure 4.

Results of Pearson correlation analysis
Results of Pearson correlation analysis

Regression analysis results of influencing factors

Dimension Index Regression coefficient R2 F value
Course quality satisfaction X1 0.047 0.953 428.834***
X2 0.938**
Teaching satisfaction X3 0.565 0.946 204.605***
X4 0.541
X5 0.684**
X6 0.745**
Learning satisfaction X7 0.652** 0.928 348.798***
X8 0.479

Results of linear regression a

Nonnormalized coefficient Normalized coefficient t p VIF
B S.E. Beta
Constant 2.661 1.076 - 2.114 0.006*** -
Content quality 0.575 0.073 0.425 3.546 0.002*** 5.075
Usage frequency 0.339 0.089 0.457 3.042 0.004*** 4.339
Usage experience 0.055 0.067 0.003 2.659 0.211 6.555

Analysis result of structural equation model

Hypothesis Influence path Normalized regression coefficient P Test result
H1 X2→Satisfaction 0.191 0.005 Support
H2 X5→Satisfaction 0.265 0.002 Support
H3 X6→Satisfaction 0.309 0.013 Support
H4 X7→Satisfaction 0.152 0.009 Support

Results of single factor test

Variable name Variable value Number Mean S.D. Variance test Welch’s Variance test
Usage frequency High grade 52 18.689 3.497 F=3.504, P=0.003** F=4.817, P=0.003**
Low grade 55 17.744 3.504
Total 107 18.217 3.451
Content quality High grade 52 17.544 2.892 F=4.276, P=0.148 F=4.739, P=0.154
Low grade 55 17.359 2.653
Total 107 17.452 2.771
Course effect High grade 52 17.887 3.328 F=5.606, P=0.004** F=5.117, P=0.002**
Low grade 55 16.575 3.908
Total 107 17.231 3.604
Usage experience High grade 52 17.792 3.425 F=4.529, P=0.015** F=3.874, P=0.011**
Low grade 55 16.706 3.619
Total 107 17.249 3.442
Total High grade 52 71.912 6.224 F=3.863, P=0.025** F=4.173, P=0.039**
Low grade 55 68.384 6.556
Total 107 70.148 6.485
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