The construction of a comprehensive, reasonable, and scientific evaluation system for the mental health level of college students is a prerequisite for a high-quality mental health education. With the arrival of the big data era and the promotion and implementation of the “Second Classroom Report Card” system in colleges and universities nationwide, a new approach has been provided for the evaluation of college students’ mental health level. The article deeply analyzes the main problems in traditional evaluation of college students’ mental health level and explores how big data can enhance these evaluations. Furthermore, we introduce the biomechanical aspects that influence mental health, such as the impact of physical activity on psychological well-being and the role of movement patterns in stress reduction. Empirical analysis, it is proved that there is a strong correlation between the scores of college students’ second classroom course projects—often involving physical activities—and their mental health level. By integrating biomechanical principles, we can better understand the physical factors that contribute to mental health, thereby enriching the evaluation framework. The establishment of “big data + biomechanical insights + mental health level” evaluation system based on the “Second Classroom Report Card” has improved the timeliness, pertinence, and scientificity of mental health education work in colleges and universities. This approach not only facilitates a more holistic understanding of student well-being but also promotes the importance of physical health in maintaining mental wellness.
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