Abstract
Abstract Civic education in colleges and universities is facing the transformation of digital management mode, and this paper proposes to build a whole-process autonomous multi-dimensional fusion platform for the implementation and management of civic education in colleges and universities. The platform takes the big data analysis layer, object application layer and service management layer as the overall structure, builds the dynamic database of the Civic and Political Education program, and superimposes the tripartite comprehensive evaluation database. This paper improves the Apriori algorithm for association rules and applies the improved algorithm to the management platform for information mining. Intelligent teaching practices are designed based on the digital management platform, and their teaching effectiveness is analyzed. The performance of the Apriori algorithm before and after optimization is compared, and with the optimized algorithm, the execution efficiency is improved by about 10% to 15%. Students using the Civics education platform showed significant differences at the 1% level in all three dimensions of cognitive load, learning motivation, and mind-flow experience compared to students in the traditional teaching mode.
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