Author(s)

Yakun Jiao ¹, Wang Long ²

Affiliation(s)

¹ Department of Student Affairs, Xi'an University of Posts & Telecommunications, Xi'an, China
² School of Computer Science and Technology, Xidian University, Xi'an, China

Corresponding Author

Yakun Jiao

ABSTRACT

With the increasing prominence of mental health issues among college students, the application of artificial intelligence (AI) technology in mental health education has gradually garnered attention. This paper investigates the application of AI in mental health education in higher education institutions, analyzing its specific practices in mental health monitoring, assessment, crisis early warning and intervention, as well as the optimization of mental health education curricula. The study indicates that AI can dynamically monitor and accurately assess students' psychological states through the analysis of multi-source data and construct high-precision psychological crisis early warning models using machine learning algorithms, providing personalized intervention plans for high-risk students. Moreover, AI can optimize mental health education curricula by enhancing educational outcomes through personalized, interactive, and contextualized approaches. However, the application of AI in mental health education also faces ethical risks such as emotional comprehension bias, misunderstandings due to cultural differences, and privacy and data security concerns. This paper emphasizes the need to address the ethical and legal issues of AI while fully utilizing its technology to ensure its effective, safe, and sustainable application in mental health education in higher education institutions.

KEYWORDS

Artificial Intelligence; Mental Health Education; Colleges and Universities; Mental Health Support; Psychological Well-Being

CITE THIS PAPER

Yakun Jiao, Wang Long, Application of Artificial Intelligence in Empowering Mental Health Education in Higher Education Institutions. Applied & Educational Psychology (2025) Vol. 6: 62-67. DOI: http://dx.doi.org/10.23977/appep.2025.060309.

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