Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Choudhary, Lakshya; Sybol, Sumin Samuel Title A name given to the resource Impact of AI on Students Mental Health and Well-Being Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Human-Centered Learning Design in the AI Era;pp.205-233 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-5786-7.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-5786-7.ch008</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013007310?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013007310?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Choudhary L., Christ University Delhi-NCR, India; Sybol S.S., Christ University Delhi-NCR, India Description An account of the resource This chapter examines the transformative impact of artificial intelligence (AI) on students' mental health and well- being, addressing the urgent need for innovative solutions in response to escalating mental health challenges among this demographic. In recent years, mental health issues among students have surged due to a combination of factors, including increasing academic pressures, socio- economic disparities, and the pervasive influence of digital technologies. These challenges create a complex array of psychological and emotional difficulties that necessitate timely and effective interventions.AI technologies, particularly those leveraging natural language processing (NLP) and machine learning (ML), are emerging as scalable and accessible tools for mental health support in educational settings. Unlike traditional therapeutic methods, which often face geographical, financial, and logistical constraints, AI-powered tools provide round- the- clock assistance to users, transcending barriers of time and location. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833735788-1; 979-833735786-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online