Enhancing mental health support for students through AI-powered chatbot: a systematic literature review

Abstract

Rising global mental health challenges among students are met with significant barriers to care, including stigma, cost, and limited access, which often deter help-seeking. AI-powered chatbots have consequently emerged as a promising, scalable digital intervention to bridge this treatment gap. This systematic review examines the extent to which these chatbots can enhance both access to and the quality of mental health support for students hesitant to engage with conventional services. Adhering to PRISMA guidelines, a comprehensive search of academic databases yielded 500 records; after systematic screening, 37 studies met the inclusion criteria. Data on study design, participant demographics, chatbot interventions, and outcomes were extracted and synthesized using thematic analysis. The findings indicate that chatbots significantly improve accessibility by offering 24/7, confidential, and nonjudgmental support, effectively reducing stigma and enabling early intervention. Several studies reported quantitative reductions in symptoms of depression, anxiety, and stress, while qualitative insights revealed that students particularly value features like casual interaction styles and anonymity. However, limitations persist, including a lack of profound empathy, occasional inconsistent responses, and challenges in cultural and linguistic adaptation. In conclusion, AI chatbots demonstrate strong potential as adjunctive tools in student mental health, especially for those with mild to moderate symptoms. They are best positioned not as replacements for human counselors, but as complementary components within a stepped-care model. For sustainable implementation, future development must prioritize robust ethical safeguards, greater personalization, and seamless integration with established professional services to ensure safe and effective support.