Research on the correlation between campus big data and the mental health status of college students with a focus on biological implications
Abstract
This study aims to explore the potential association between multidimensional big data and the mental health status of college students, with a particular focus on biological implications. The goal is to utilize big data to achieve more accurate mental health services and timely psychological crisis interventions while addressing the shortcomings of traditional psychological assessments. We collect relevant big data from all undergraduate students at College J of a university. Through data preprocessing and quantitative transformation, students are identified as research subjects. Six representative data categories are selected, including academic achievement records, Second Classroom Report Card, access control records, leave records, daily consumption, and Internet usage hours. Pearson’s correlation analysis is employed to assess the correlation between these data and psychometric scores, establishing a link to physiological and biochemical markers of mental health, such as stress-related hormones. To further validate and deepen this finding, we select the three categories of data with the highest correlation coefficients and conduct grey relational analysis (GRA) on 20 students exhibiting psychological abnormalities. The results indicate that all six categories of big data analyzed are correlated with college students’ mental health, with the strongest correlation found between the Second Classroom Report Card and students’ mental health status. This finding highlights the biological implications of mental health on academic performance and overall well-being. The “Second Classroom Report Card” serves as a quantitative reflection of the comprehensive qualities of college students in areas such as moral, intellectual, physical, aesthetic, and labor education. Its implementation provides a novel approach for applying big data technology and methods in evaluating the mental health levels of college students, emphasizing the physiological and biochemical factors that may influence their mental well-being.
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