This work presents the automated assessment method of civic education using fusion psychology. The basis for it is the development of abilities in psychological and civic education. Five first-level evaluation indicators and seventeen second-level indicators have been filtered out. The computerized assessment model of Civic and Political Education of Integrated Psychology is constructed with timeliness by preprocessing the quantified index data with dynamic clustering and fusion using the fuzzy C-mean clustering algorithm, which is based on the evaluation indexes and training sample set. The research program on the relationship between mental health education and civics instruction is designed with the incorporation of mental health into the civics course as the starting point. Statistical analysis tools are used to analyze civics education examples that incorporate mental health education from the perspective of educational psychology. The model in this paper may successfully enhance the precision of the evaluation of the standard design of Civic and Political Education, which includes mental health education, as evidenced by its smaller RMSE and MAE of the evaluation results when compared with BP and RBF, which are 0.3151 and 0.1834, respectively. Cultural confidence appears to have a partly mediation effect between curricular citizenship and mental health since curricular civics positively impacts cultural confidence (p<0.001), and neither curricular civics nor cultural confidence is beneficial to mental health (p<0.001). The purpose of this study is to offer guidance for advancing the development and integration of political, ideological, and mental health education. College students' overall growth in morality, intelligence, physical fitness, and aesthetics is greatly influenced by this.
CITATION STYLE
Huang, H., Zhang, L., Zheng, H., Li, L., Yi, L., & Xie, F. (2024). The Innovative Integration of College Students’ Mental Health Education and the Path of Civic and Political Education in the Perspective of Educational Psychology. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns.2023.2.01669
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