Researchers
researchers.site › ai-and-mental-health-emerging-approaches-for-educational-sup
AI and Mental Health: Emerging Education Support Approaches
May 4, 2026 - Diagnostic AI systems leverage supervised and unsupervised learning to classify conditions. For example, sentiment analysis of student essays or chats can reveal mood states, while facial expression recognition and voice stress analysis support ...
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC12745907
Artificial Intelligence for Mental Health Monitoring: A Solution for Digital Behavioral Health Care and Education—An Umbrella Review - PMC
The global burden of mental health ... traditional models struggle to meet rising demands, artificial intelligence (AI) has emerged as a promising tool for enhancing the detection and monitoring of psychological distress....
Houston Chronicle
houstonchronicle.com › news › houston-texas › education › article › schools-ai-surveillance-internet-21194674.php
Houston schools are using AI to watch student mental health. Experts are worried
January 31, 2026 - More Houston-area schools are turning to AI-powered surveillance software to support student mental health — but students and experts say the very technology meant to protect them may be harming them instead. While online monitoring systems are standard for school-issued devices, districts across Houston and Texas have signed contracts with technology companies like GoGuardian and Lightspeed Systems...
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC12437286
Perceptions and Attitudes Towards Artificial Intelligence Among Education and Mental Health Professionals: A Comparative Pilot Study - PMC
The integration of Artificial Intelligence (AI) in education and mental health fields represents an innovative path to optimize diagnostic, intervention, and monitoring processes, although it poses ethical and technical challenges that must be carefully assessed.
ScienceDirect
sciencedirect.com › org › science › article › pii › S2369376225000911
Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review - ScienceDirect
July 28, 2025 - Hudon et al [32] demonstrated that AI-generated SCTs are nearly indistinguishable from those written by human experts, highlighting AI’s potential to rapidly generate quality training materials aligned with psychiatric diagnostic frameworks. In addition, AI can support exam preparation, providing structured explanations, study plans, and interactive feedback for licensing exams and clinical cases [28]. Spallek et al [31] noted that although AI tools require human oversight, they offer accessible and customizable resources that align with the best practices in mental health communication and literacy, ultimately empowering educators and enhancing learner engagement.
Brookings
brookings.edu › home › ai surveillance in schools raises safety and equity concerns
AI surveillance in schools raises safety and equity concerns | Brookings
August 27, 2026 - One Florida school district began sharing student grade and attendance data with the local police department to generate a list of “potential future criminals.” Students who had done nothing wrong were flagged by an algorithm, with their academic and attendance records used to construct a risk score estimating whether the system viewed them as “at-risk youth” who were “destined to a life of crime.” After a coalition of 30 local, state-based, and national organizations mobilized opposition to the program, the local school board ended the data-sharing agreement that made this system possible.
Cambridge Core
cambridge.org › core › journals › psychological-medicine › article › artificial-intelligence-in-mental-health-care-a-systematic-review-of-diagnosis-monitoring-and-intervention-applications › 04DBD2D05976C9B1873B475018695418
Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications | Psychological Medicine | Cambridge Core
February 6, 2025 - The need for a comprehensive review of the application of AI in mental health research and clinical practice is underscored by the growing reliance on technology to address pressing mental health challenges. As AI systems become increasingly proficient in interpreting data and producing actionable insights, they present an opportunity to enhance traditional approaches to mental health diagnostics, monitoring, and interventions.
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC13199291
Artificial intelligence in college students’ mental health education: opportunities, challenges, and strategic responses - PMC
Accordingly, the review distinguishes among four related but non-identical domains: (1) mental health education in the strict educational sense; (2) prevention-oriented supports that promote resilience and early awareness; (3) screening and early detection tools that identify potential risk; and (4) quasi-clinical or supportive interventions, such as chatbot-based self-help systems. Studies from these adjacent domains are included only when they inform how AI may shape the broader educational ecosystem of student mental health, and they are not treated as interchangeable with direct evidence on educational outcomes.