Integration mechanism of moral education concept and civic education in colleges and universities based on proximal strategy optimisation algorithm

Abstract

Abstract This paper firstly researches the integration of the concept of establishing moral integrity into the work of Civic and political education in colleges and universities and analyzes the thinking and path of the integration of the concept of establishing moral integrity into the work of Civic and political education in colleges and universities, to put forward a new system of Civic and political courses under the concept of establishing moral integrity and establishing people. Secondly, under the perspective of reinforcement learning, the Bellman optimal strategy equation, direct strategy search, and proximal strategy optimization algorithm are compared, respectively, and then the Civic and political education based on the proximal strategy optimization algorithm is proposed. Then, the online learning group formation strategy of the Civics course is constructed through the proximal strategy optimization algorithm, and the Civics education in colleges and universities based on the proximal strategy optimization algorithm is empirically analyzed. The results show that in the algorithmic analysis, the PPO algorithm is overall superior to the path-based, embedding-based, and strategy network reinforcement learning-based methods on the FB15K-237 dataset. On analyzing online learning group formation strategies for Civics courses, the first group of learning members tends to prefer audio learning resources, and the fourth group prefers text learning resources, with a clear manifestation of proximity. This study has promoted the concept of “cultivating morality and nurturing people” throughout the work of Civic and Political Education.