Artificial Intelligence for Student Mental Health: Applications, Effectiveness, and Future Directions
DOI:
https://doi.org/10.29070/hrskbs13Keywords:
Artificial Intelligence, Mental Health, Students, Chatbots, Digital HealthAbstract
Mental health challenges among students in higher education have increased significantly due to academic pressure, social expectations, and career-related uncertainties. Traditional counseling systems often face limitations such as stigma, limited accessibility, and insufficient professional resources. In this context, Artificial Intelligence (AI) has emerged as a promising solution for delivering scalable, accessible, and personalized mental health support.
This study presents a comprehensive review of AI-driven applications in campus mental health, including chatbots, mobile applications, wearable devices, and predictive analytics systems. A narrative review methodology was adopted, analyzing recent literature published between 2020 and 2025 from databases such as PubMed, Scopus, Google Scholar, and IEEE Xplore.
The findings indicate that AI-based tools significantly enhance accessibility, enable early detection of mental health issues, and improve student engagement through personalized interventions. However, challenges related to data privacy, ethical concerns, and the lack of human empathy remain critical limitations.
The study concludes that AI technologies should complement, rather than replace, traditional counseling services. It also highlights the need for ethical frameworks, hybrid care models, and further research to ensure safe and effective implementation of AI in student mental health care.
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