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 Shashwat, Kumar; Pundhir, Shiv Kumar Singh Title A name given to the resource Artificial intelligence in education: Personalizing learning and overcoming ethical challenges 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 Immersive Learning in Teacher Education: Simulated Environments, Tools, and Practices;pp.137-176 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9861-6.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9861-6.ch005</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012808536?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012808536?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 Shashwat K., Christ University, India; Pundhir S.K.S., Christ University, India Description An account of the resource This may be the breakthrough that AI in education can give to personalized learning, offering learners experiences tailored according to their individual needs and styles of learning. AI-driven technologies like adaptive learning platforms and intelligent tutoring systems enhance engagement, deepen understanding, and facilitate real-time feedback. However, the speedy development of AI in education also poses significant ethical challenges, including data privacy and algorithmic bias, as well as the automation of learning processes. It investigates the need for fairness and transparency in AI algorithms, protecting student data, and minimizing biases that might occur in the automated systems. Balancing innovation with ethical considerations will unlock new possibilities in education with AI while at the same time safeguarding the integrity of the learning environment. The chapter sets out key issues at the interface of AI and education, which provide a balanced overview of both its transformative potential and the challenges that need to be addressed for its responsible use. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939863-0; 979-836939861-6; 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