Research on Strategies for Optimising the Content of Civic and Political Education in Colleges and Universities in the Information Age and Interactively Enhancing Practical Parenting Experience
05 feb 2025
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 05 feb 2025
Ricevuto: 03 ott 2024
Accettato: 07 gen 2025
DOI: https://doi.org/10.2478/amns-2025-0079
Parole chiave
© 2025 Hanruo Wu, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Validity test results
Item | KMO | Bartlett metric test | ||
---|---|---|---|---|
Approximate card | DF | P value | ||
Analysis | 0.923 | 541.602 | 54 | 0.006 |
Design | 0.937 | 474.427 | 38 | 0.004 |
Development | 0.928 | 538.136 | 27 | 0.001 |
Implementation | 0.949 | 466.511 | 46 | 0.005 |
Evaluation | 0.916 | 588.583 | 23 | 0.008 |
Optimization effect | 0.904 | 575.835 | 18 | 0.002 |
Total scale | 0.945 | 1542.954 | 514 | 0.007 |
The square root of the AVE and the correlation coefficient
Variable | AVE | P1 | P2 | P3 | P4 | P5 | P6 |
---|---|---|---|---|---|---|---|
P1 | 0.637 | - | - | - | - | ||
P2 | 0.683 | 0.155 | - | - | - | ||
P3 | 0.745 | 0.127 | 0.177 | - | - | ||
P4 | 0.706 | 0.138 | 0.224 | 0.278 | - | ||
P5 | 0.719 | 0.219 | 0.341 | 0.265 | 0.343 | ||
P6 | 0.692 | 0.371 | 0.136 | 0.139 | 0.234 | 0.212 |
The impact path of each variable
- | Path | Coefficient | T value | Results |
---|---|---|---|---|
H1 | Analysis → Civic Effect | 0.184** | 3.247 | Accept |
H2 | Design → Civic Effect | 0.639*** | 2.963 | Accept |
H3 | Development → Civic Effect | 0.651*** | 3.081 | Accept |
H4 | Implementation → Civic Effect | 0.277* | 2.158 | Accept |
H5 | Evaluation → Civic Effect | 0.508*** | 3.394 | Accept |
Learning attitude and learning motivation
Index | Class | Test | Means | Std. | T value | P value |
---|---|---|---|---|---|---|
Learning attitude | EC | Before | 3.198 | 0.496 | 7.548*** | 0.006 |
After | 4.051 | 0.271 | ||||
CC | Before | 3.175 | 0.458 | 0.241 | 0.751 | |
After | 3.192 | 0.324 | ||||
Learning motivation | EC | Before | 3.069 | 0.358 | 4.379*** | 0.002 |
After | 4.185 | 0.401 | ||||
CC | Before | 3.072 | 0.375 | -0.758 | 0.174 | |
After | 3.243 | 0.269 |
The optimization effect scale of the education content
Variable | Explanation | Code |
---|---|---|
Analysis | The content of the government is important | X1 |
Teachers are very important to study affective analysis | X2 | |
Teachers are important to the teaching target analysis | X3 | |
Teachers are important to analyze the textbook of thinking | X4 | |
Design | Teaching target design is important | X5 |
Teaching content design is important | X6 | |
Teaching strategy design is important | X7 | |
The teaching process design is important | X8 | |
Development | Teaching material development is important | X9 |
Teaching content development is important | X10 | |
Implementation | Teaching content is important | X11 |
Evaluation | Teaching content evaluation is important | X12 |
Optimization effect | It helps to improve students’ thinking | Y1 |
It helps to cultivate students’ cultural confidence | Y2 | |
Help guide students to set core values | Y3 |
Test results of convergence validity
Variable | Code | S.E. | z-value | Std. | CR | AVE |
---|---|---|---|---|---|---|
Analysis | X1 | 0.042 | 12.466 | 0.682 | 0.854 | 0.637 |
X2 | 0.087 | 16.619 | 0.747 | |||
X3 | 0.068 | 14.595 | 0.733 | |||
X4 | 0.051 | 13.334 | 0.609 | |||
Design | X5 | 0.039 | 14.368 | 0.693 | 0.832 | 0.683 |
X6 | 0.047 | 15.813 | 0.631 | |||
X7 | 0.042 | 14.167 | 0.786 | |||
X8 | 0.045 | 20.364 | 0.735 | |||
Development | X9 | 0.053 | 14.756 | 0.624 | 0.817 | 0.745 |
X10 | 0.075 | 21.001 | 0.736 | |||
Implementation | X11 | 0.067 | 17.013 | 0.668 | 0.926 | 0.706 |
Evaluation | X12 | 0.051 | 17.274 | 0.792 | 0.905 | 0.719 |
Optimization effect | Y1 | 0.046 | 16.132 | 0.687 | 0.878 | 0.692 |
Y2 | 0.086 | 19.009 | 0.751 | |||
Y3 | 0.082 | 20.906 | 0.606 |
Reliability test results
Variable | Code | CITC | D-Cronbach α | Cronbach α |
---|---|---|---|---|
Analysis | X1 | 0.898 | 0.962 | 0.945 |
X2 | 0.886 | 0.975 | ||
X3 | 0.912 | 0.986 | ||
X4 | 0.929 | 0.974 | ||
Design | X5 | 0.916 | 0.967 | 0.932 |
X6 | 0.931 | 0.981 | ||
X7 | 0.923 | 0.976 | ||
X8 | 0.907 | 0.983 | ||
Development | X9 | 0.885 | 0.965 | 0.906 |
X10 | 0.884 | 0.979 | ||
Implementation | X11 | 0.866 | 0.987 | 0.928 |
Evaluation | X12 | 0.884 | 0.992 | 0.937 |
Optimization effect | Y1 | 0.931 | 0.974 | 0.941 |
Y2 | 0.916 | 0.985 | ||
Y3 | 0.862 | 0.971 |