Analysis of College Students’ Ideological and Political Dynamics and Communication Path Based on Reinforcement Learning

Abstract

Contemporary college students are the main force of future national construction. Their ideological political dynamics are related to the development of the party and the country. Some students have some problems with study concepts and study habits. For a long time, the ideological political education of university students has not been paid attention to, resulting in the inability to accurately analyze the ideological political dynamics of university students. Grasping the ideological political dynamics of university students in the new era is the top priority of current educational work and an important guarantee for the development of ideological political education in universities. With the development of the times, communication channels are also constantly updated. The focus of this article is to analyze the ideological political dynamics and communication channels of university students. To some extent, traditional analysis methods cannot satisfy current research. This paper constructs an analysis model of university students’ ideological political dynamics and communication paths based on reinforcement learning. The Markov decision process and Monte Carlo method are used to analyze the ideological political dynamics and communication paths of college students. The results show the following: (1) the highest accuracy of reinforcement learning is 99.7%, and the lowest is 96.2%; the highest accuracy is 99.7%, and the lowest is 97.4%; the highest recall is 99.6%, and the lowest is 97.6%. (2) The average accuracy rate of reinforcement learning is 98.16%, the average accuracy rate is 98.75%, and the average recall rate is 98.65%. (3) In the ideological political dynamics of college students, the score of value orientation is 6.975, the score of learning status is 8.025, the score of consumption concept is 7.7, and the score of employment is 7.45. (4) In the communication path analysis, there are 12 people in interpersonal communication, 15 people in organizational communication, 21 people in mass communication, 28 people in network communication, and 24 people in Internet communication.