Conversational AI for Student Well- Being: Transforming Mental Health Support in Education

dc.contributor.authorAbid Aziz
dc.contributor.authorMd Mehedi Hasan Emon
dc.contributor.authorZerin Tasnim
dc.contributor.authorNabid Aziz
dc.date.accessioned2026-04-27T09:12:43Z
dc.date.issued2025-11-10
dc.description.abstractThis chapter critically explores the integration of conversational AI in addressing student mental health within educational settings. Drawing on recent empirical studies and real-world applications, it examines how AI-powered chatbots are being utilized to offer scalable, accessible, and timely psychological support. While highlighting the promise of such technologies in reducing anxiety, promoting resilience, and supplementing overburdened counseling services, the chapter also scrutinizes key ethical concerns, including privacy, algorithmic bias, and the risk of emotional dehumanization. Through a nuanced discussion of case studies, challenges, and governance imperatives, the chapter underscores the need for human-AI collaboration grounded in empathy, equity, and accountability. It concludes by proposing a forward-looking policy and research agenda to ensure that AI serves as a complement not a substitute to human care in fostering student well-being.
dc.identifier.citationAziz, Abid, et al. "Conversational AI for Student Well-Being: Transforming Mental Health Support in Education." Enhancing Student Support and Learning Through Conversational AI. IGI Global Scientific Publishing, 2026. 61-94.
dc.identifier.issn: 20125876
dc.identifier.urihttp://dspace.uttarauniversity.edu.bd:4000/handle/123456789/1419
dc.language.isoen_US
dc.publisherEnhancing Student Support and Learning Through Conversational AI
dc.subjectKernel Functions
dc.subjectParameter Optimization
dc.subjectMedical Data Classification
dc.subjectMachine Learning
dc.subjectFeature Scaling
dc.titleConversational AI for Student Well- Being: Transforming Mental Health Support in Education
dc.typeArticle

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