Implementation Approach and Evaluation Innovation of Civics in Art Courses in Colleges and Universities in the Context of Digital Transformation

Abstract

Abstract The research firstly constructs the evaluation system of art course Civics, including 2 first-level indicators, 6 second-level indicators and 21 third-level indicators. Bayesian network and war strategy optimization algorithm are used to optimize the evaluation method. In the study, Yaahp software was used to calculate the weights of the indicators. Through empirical analysis of the indicators of “understanding great morality” and “abiding by public morality” of A art students in colleges and universities, it was found that teaching curriculum civic politics significantly impacted improving students’ ideological virtues. The results show that among the indicators of “understanding great virtue”, “ideal belief” (P=0.000), “responsibility of the times” (P=0.025) and “service to society and the people” (P=0.025) have a significant effect on the improvement of students’ ideological virtues. “Serving the society and people” (P=0.001) are substantial; among the indicators of “observing public morality”, “decent makeup” (P=0.021) and “generous dress” (P=0.021) are significant; among the indicators of “observing public morality”, “good makeup” (P=0.021) and “good dress” (P=0.021) are substantial. In the indicator of “observance of public morality”, the indicators of “decent makeup” (P=0.021) and “generous dress” (P=0.018) are significant. The evaluation method based on Bayesian network and war strategy optimization algorithm can effectively assess the implementation effect of Civics in art courses in colleges and universities, which is essential in enhancing students’ awareness of Civics.