Exploring the Application of Artificial Intelligence Technology in Adolescent Mental Health Education
Abstract
Artificial intelligence technology provides an efficient and innovative solution for adolescent mental health education, and effectively builds a safe and private psychological support space by virtue of its accurate and whole-day response. This study discusses three aspects of application timing and scenarios, behavioral norms, and risk prevention and control: (1) the scenarios and timing of using AI technology for mental health education in families, schools, and adolescents need to be treated separately; (2) The behaviors and norms of applying AI technology in adolescent mental health education need to be governed by national laws and industry norms, with clear legal provisions and technical standards to ensure that they meet ethical standards, effectiveness, and safety requirements; (3) AI technology must prevent user dependence and potential harm in its application and requires a corrective mechanism. Additionally, the study points out that technological breakthroughs need to overcome technical bottlenecks such as data quality and emotional understanding, as well as institutional challenges such as privacy ethics and legal regulation. It also looks forward to future development prospects in multimodal integration, universal services, and ecological construction.
Keywords
Full Text:
PDFReferences
Deng, X. N. (2021). Innovative application of artificial intelligence in self-diagnosis and mental health education for college students. Journal of Jilin Medical College, 42(6), 427-428. doi:10.13845/j.cnki.issn1673-2995.2021.06.010
Fang, M. (2024). Integrating artificial intelligence into mental health education for junior high school students. Educator, (22), 26-28.
Gu, X. W. (2024). Leveraging artificial intelligence in mental health education. Primary School Science, (12), 121-123.
Guo, Y., & Hou, C. Y. (2021). Exploring new applications of artificial intelligence in mental health services for primary and secondary schools. Chinese Journal of School Health, 42(8), 1124-1128. doi:10.16835/j.cnki.1000-9817.2021.08.002
Sun, J. P. (2023). Application of artificial intelligence in school mental health services. In Proceedings of the 2023 Academic Forum on Curriculum Education Exploration (Volume II) (pp. 611-614). doi:10.26914/c.cnkihy.2023.005892
Wen, L. Y., Wu, F. Z., & Dong, Y. (2024). Research on adolescent mental health protection in the context of artificial intelligence. Journal of Teaching Monthly: Middle School Edition (Teaching Management), (Z2), 21-28.
Zhang, J. X., & Li, Z. L. (2024). Application of artificial intelligence in improving mental health literacy among middle school students. Campus Psychology, 22(3), 270-276. doi:10.19521/j.cnki.1673-1662.2024.03.014
DOI: http://dx.doi.org/10.3968/13783
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Higher Education of Social Science

This work is licensed under a Creative Commons Attribution 4.0 International License.
Please send your manuscripts to hess@cscanada.net,or hess@cscanada.org for consideration. We look forward to receiving your work.
Articles published in Higher Education of Social Science are licensed under Creative Commons Attribution 4.0 (CC-BY).
HIGHER EDUCATION OF SOCIAL SCIENCE Editorial Office
Address: 1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.
Telephone: 1-514-558 6138
Website: Http://www.cscanada.net Http://www.cscanada.org
E-mail: caooc@hotmail.com; office@cscanada.net
Copyright © 2010 Canadian Research & Development Center of Sciences and Cultures