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 Jain, Rituraj; Upreti, Kamal; Shankar, Uma; Radhakrishnan, G.; Sharma, Ashish; Malik, Khushboo Title A name given to the resource Data-driven education: Leveraging big data, AI, and machine learning for smarter learning environments 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 Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction;pp.203-226 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-443-41660-6.00003-X" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-41660-6.00003-X</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023943238?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023943238?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 Jain R., Department of Information Technology, Marwadi University, Gujarat, Rajkot, India; Upreti K., Department of Computer Science, Christ University, Uttar Pradesh, Ghaziabad, India; Shankar U., Ramcharan School of Leadership, Dr. Vishwanath Karad MIT World Peace University, Maharashtra, Pune, India; Radhakrishnan G., KIIT, Kalinga School of Management, Odisha, Bhubaneswar, India; Sharma A., Department of Technology, JIET Universe, Rajasthan, Jodhpur, India; Malik K., School of Law, Christ University, Uttar Pradesh, Ghaziabad, India Description An account of the resource Big Data, artificial intelligence (AI), and machine learning are transforming education with self-paced learning, precise insights, and automated decisions. The effects these technologies have on education are transformative, especially when it comes to improving student achievement, advancing administrative operations, and personalizing the learning experience, as stated in this chapter. Big Data collects and analyzes immense volumes of data, while AI powers automation, makes predictions, automates evaluations, and enables the possibility of adaptive learning. Chatbots, recommendation engines, and tutoring systems enhance student-focused digital education. Still, integrating these technologies comes with challenges such as privacy and ethical issues, algorithm discrimination, and data security concerns. Some of the new trends are explainable AI (XAI) for ethical decision-making, blockchain and federated learning for privacy-preserving analytic systems, and verifiable credentials. In addition, XR, AI-based virtual laboratories, and neurosymbolic AI will have great consequences on the future learning environment. AI in education offers scalability and inclusivity but demands ethical regulation, governance, and resource management. This chapter recommends sustained effort in research, policy changes, and ethical integration of AI for the best possible use thereof. The education sector, by incorporating human-centered AI approaches, can create a just, sustainable future of learning that is accessible to all students around the world. 2026 Elsevier Inc. All rights reserved. Subject The topic of the resource Cognitive psychology; Computer in education; Human-computer interaction; Knowledge management; Multimedia information system; Operations management Publisher An entity responsible for making the resource available Elsevier Relation A related resource ISBN: 978-044341660-6; 978-044341661-3; 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