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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

  
Feb 05, 2025

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Figure 1.

Thinking of the mixed teaching mode of education
Thinking of the mixed teaching mode of education

Figure 2.

The optimization process of the education content
The optimization process of the education content

Figure 3.

The optimization effect model of the education content
The optimization effect model of the education content

Figure 4.

Model fitting result
Model fitting result

Figure 5.

The effect of thinking on education practice
The effect of thinking on education practice

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 0.798 - - - - -
P2 0.683 0.155 0.826 - - - -
P3 0.745 0.127 0.177 0.863 - - -
P4 0.706 0.138 0.224 0.278 0.840 - -
P5 0.719 0.219 0.341 0.265 0.343 0.848 -
P6 0.692 0.371 0.136 0.139 0.234 0.212 0.832

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
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English