Optimization of Transformation Path of Discourse Power in Ideological and Political Education of College Students Based on Artificial Intelligence Technology

Abstract

The study of the discourse conversion of college students’ Civic Education is to induce effective communication, understanding and recognition among college students. Based on the clustering analysis technology under artificial intelligence technology, this paper uses the combination of improved fruit fly optimization algorithm and density peak clustering algorithm for the fitness function and uses the powerful global optimization seeking ability of TCFOA algorithm in the iterative process to find out the optimal index of the fitness function in DPC algorithm for data clustering analysis. The TCFOA-DPC algorithm was used to conduct a quantitative analysis of the data on the construction principles and influencing factors of optimizing the conversion of the discourse of college students’ thinking and political education. From the construction principles, the evaluation of A, B, C and D levels accounted for 53.47%, 31.62%, 9.96% and 4.95%, respectively. Regarding influencing factors, the discourse subject, discourse content, discourse mode and discourse carrier have increased by 72.79%, 74.1%, 79.09% and 80.16%, respectively, in five years. This shows that the conversion of the discourse of college students’ thinking and political education should focus on the combination of dominance and diversity and do a good job of linking theory with practice to ensure better discourse of college students’ thinking and thinking in political education.