Affiliation:
1. Southeast University Chengxian College , Nanjing , Jiangsu , , China .
Abstract
Abstract
With the rapid development of artificial intelligence technology, the traditional mode of civic education has not adapted to the development of the times and is in urgent need of innovation. This paper proposes an evaluation study of civic education in colleges and universities based on the hierarchical analysis method (AHP)-principal component analysis (PCA). Starting from the current situation of civic education, based on the principle of evaluation index system construction, the evaluation index system of civic education is initially formulated. Then, the expert argumentation is used to modify and improve the initially formulated evaluation index system and then to determine the final version of the evaluation index system of civic education. On the basis of the evaluation index system, a combination of AHP and PCA algorithms is used to construct the evaluation model of civic and political education, and the statistical analysis software SPSS20.0 is used to analyze the constructed model. The results show that the Sig value between the evaluation indicators of the first level is less than 0.05, which means that the data are judged to be suitable for principal component analysis. The percentage of variance of the first three components after the rotation is 28.69%, 28.10%, and 25.48%, which indicates that the three principal components explaining the evaluation indicators of the first level are relatively average. This study promotes the development of civic education, thereby improving the level of civic education in colleges and universities.
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