The application of deep learning analysis based health psychology education in the ideology and politics course of universities

Abstract

Abstract In this paper, a formal view of mental health based on deep learning was constructed by collecting social network data and psychological labeling data of students in colleges and universities, and the social network data model was extracted by using the MANE algorithm and combined with the average degree and other indexes to make a preliminary assessment. Oriented to this data model, a student mental health identification algorithm based on the MAM algorithm was proposed, and the method was combined with psychology education to study its application in the Civics classroom. From the perspective of educators, the influence degrees of teachers’ knowledge, ability, quality, and teaching input in Civics education from the psychological perspective are 0.214, 0.114, 0.043, and 0.048, respectively. Healthy psychology education based on deep learning can effectively analyze the psychology of Civics education and provide a guiding path to the use of psychology in the Civics classroom.