Keywords
Mental health
Intelligent intervention
Digital divide
AI empowerment
Submitted : 2025-07-01
Accepted : 2025-07-16
Published : 2025-07-31
Abstract
With the full implementation and explosion of artificial intelligence big models such as DeepSeek, Doubao and Dream, the business of many traditional industries has been more or less affected. However, with its super data processing ability and intelligent analysis ability, it has been warmly welcomed and widely used in the industry, and has also given rise to some innovative changes in the development of various industries. In this wave of artificial intelligence, AI technology is also constantly infiltrating into the field of education and mental health work, and the mental health work of college students is also ushering in new development and opportunities. This study investigates the application of AI technology in college students' psychological work, and analyzes that the application of AI technology can promote the breadth coverage and accuracy of college students' psychological work, and effectively improve the quality and efficiency of college students' mental health work. However, due to the limitations of AI technology's own data calculation and objective existing data security problems, the application of AI technology can effectively improve the quality and efficiency of college students' mental health work. There may be certain deviations in the actual work process. Based on the above analysis, this paper can be used as a discussion on the application of AI technology in college students' mental health work.
References
Mental Health Education Steering Committee of Ministry of Education. China Adolescent Mental Health Development Report (2022) [M]. Beijing: People's Education Press, 202: 45.
Wang Lijuan, Zhang Qiang. A Survey on Rural Teachers' Psychological Helping Ability [J]. Educational Research, 2021(3): 78-84.
Li Zhigang, et al. Research on the identification of Psychological crisis of primary and secondary school students in poor areas [J]. China Special Education, 2020(12): 36-41.
UNICEF. Children in the digital age[R]. New York: UNICEF Office, 2021: 17.
Chen Xiaohua. Research on adolescent psychological help-seeking behavior [J]. Advances in Psychological Science, 2019(4): 621-628.
Calvo R A, Multimodal affect detection for mental health[J]. IEEE Transactions on Affective Computing, 2020, 11(1): 86-98.
Department of Basic Education, Ministry of Education. Summary Report on the Pilot Application of Artificial intelligence in Education [R]. Beijing: Ministry of Education, 2023: 32.
Fitzpatrick K K, et al. Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot)[J]. JMIR Mental Health, 2017, 4(2): e19.
Huang Yongfeng, et al. Psychological Counseling System Based on Deep Learning [J]. Journal of Tsinghua University, 2021(6): 589-596.
Shanghai Municipal Education Commission. Evaluation Report of Wisdom Heart Education Project [R]. Shanghai: Education Commission Press, 202: 15.
Ministry of Education. Progress report of Education Informatization 2.0 Action Plan [R]. Beijing: Ministry of Education, 2023: 47.
Tencent CSR.2022 Sustainability Report[R]. Shenzhen: Tencent, 2023: 89
Liu Yang, et al. Application of Edge computing in Educational data security [J]. Application Research of Computers, 2020(9): 2653-2657
Wang Haitao, et al. An Affective Computing Model for Rural Adolescents [J]. Journal of Peking University, 2022(3): 231-239.
WHO Ethics and governance of AI for health[R]. Geneva: World Health Organization, 2021: 28.