Early Warning of Subjective Perception of Students Based on Big Data Analysis Techniques in Growth Environment

This study explores the influence of social life and social-cultural environmental factors on the psychological well-being of college students. Based on the Spark architecture, a deep Q network is used for big data classification to optimize students’ psychological state, and multiple regression analysis is employed to fit the predictive model. The results indicate that factors such as regional economic prosperity or poverty during college growth, quality of primary education, subjective perception of happiness or unhappiness regardless of wealth, pursuit of hard work or hedonism, and liking or disliking Western gun violence and horror movies all significantly influence psychological harmony (P < 0.05). The level of psychological harmony among college students is related to the favorable social and cultural environment they experience during their socialization process.