Application of biomechanical insights in the “Second Classroom Report Card” in mental health education for college students in the big data era
Abstract
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.
References
1. Li Y H. The correlation between the mental health, coping style of college student: The intermediary role of hope perception. Chinese Journal of Clinical Psychology, 2021, 29(6):1297-1300.
2. Ma C. An empirical study on the mental health level of post-00s college students - based on the data analysis of nearly 20,000 freshmen in 2018, Ideological & Theoretical Education, 2019, (03):2-5.
3. Zhou X D, Mei L. Design of mental health intelligence evaluation system based on big data technology. Modern Electronics Technique, 2021, 44(14):95-99.
4. Wang K, Zhou Y E, Xu J X, et al. Reviewing big data based mental health education process for promoting education system. Current Psychology, 2020, 8(7):24-58.
5. Song X Z. College students’ mental health education consulting management system design based on big data algorithms. International Transactions on Electrical Energy Systems, 2022, (10):10-19.
6. Li J L, Shi Y. On the construction of the “extracurricular transcript” system in guizhou’s universities under the circumstances of “talent cultivation through all human resources, all the process and all aspects”. Journal of Guizhou Minzu University (Philosophy and Social Sciences), 2023, (2):75-96.
7. Chen H. Research on the Realization of the Value of Psychological Education in Universities in the New Era. Fujian: Fujian Normal University, 2021.
8. Qiu M Q, Zhao H P. Mechanism and path of psychological crisis warning in colleges and universities enabled by data. Academic Search for Truth and Reality, 2021, (05):97-102+120.
9. Chen T. National Governance in the Era of Big Data. Beijing: China Social Sciences Press, 2015.
10. Zhu X W. Exploration on the implementation path of the “three-whole education” guided by the party construction of teachers’ party branch in higher vocational colleges. Journal of Liaoning Agricultural Technical College, 2022, 24(01):56-59．
11. Qin Z D, Li L X, Li L L. Privacy risk analysis and protection strategies of college smart campus students in the era of big data. Network Security Technology & Application, 2020, (11):110-112.
12. Tao J, Ou Y S Q. Change direction and risk avoidance of mental health education evaluation in colleges and universities in the era of big data. The Party Building and Ideological Education in Schools, 2022, (09):72-77.
13. The Central Committee of the Communist Youth League and the Ministry of Education issued the Opinions on the Implementation of the Communist Youth League’s “Second Class Transcript” System in colleges and Universities. China Youth Daily, 2018-07-05.
14. Qin T. A preliminary study on the construction of “second class report card” system in the Communist Youth League of colleges and universities. Studies in the CCYL of Colleges, 2018, (3):23-27.
15. Fu Z B. Guided by the “second class report card” system, the reform of the Communist Youth League in colleges and universities was deeply promoted. Studies in the CCYL of Colleges, 2018, (3):5-8.
16. Song D, Zeng J X. An empirical research on the relationship among the extracurricular courses, study satisfaction and college students’ core competitiveness. University Education Science, 2018, (5):21-29.
17. Zeng J X, Song D. Study on the college students’ the second classroom: Course, focus and prospect—A literature review based on the CNKI literatures from 1999 to 2016. Chongqing Higher Education Research, 2017, 5(06).119-127
18. Peng Q Y, Xie X X. Discuss the relationship between the second class and the first class again. The Party Building and Ideological Education in Schools, 2011 (14):45－46．
19. Chen S Y. Research on statistical methodology of risk rating. Statistics & Decision, 2003, (4):8-10.
20. Wang X X. On the strategies of college students’ mental health education under the background of big data. Jiangsu Higher Education, 2023, (4):92-95.
Copyright (c) 2024 Yiwen Peng, Xiaodong Jia
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on all articles published in this journal is retained by the author(s), while the author(s) grant the publisher as the original publisher to publish the article.
Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International, which means they can be shared, adapted and distributed provided that the original published version is cited.
Submit a Paper
