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 Faculty Publications- Book 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 Moore, Jeffrey; Gupta, Sharad; Sharma, Manjari; Garg, Ajay; Helen Josephine, V.L. Title A name given to the resource Transforming Education With Data Science in the AI Era 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 Transforming Education With Data Science in the AI Era;pp.1-571 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-2185-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2185-1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021208037?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021208037?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 Moore J., Anderson University, United States; Gupta S., Christ University, India; Sharma M., Christ University, India; Garg A., Morgan Stanley, India; Helen Josephine V.L., Christ University, India Description An account of the resource In this AI era, data science emerges as a transformative tool in education. By using data sets, educators and administrators can make informed decisions that personalize learning and improve resource allocation. As AI technologies become more integrated into educational systems, data science serves as a critical bridge between raw information and actionable strategies, enabling a more adaptive, equitable, and evidence-based approach to teaching and learning. Transforming Education With Data Science in the AI Era explores the intersection of AI and data science in reshaping education. This book offers solutions to key challenges, such as ethical dilemmas, data privacy concerns, and digital inequity, to create a sustainable AI-driven education model. Covering topics such as AI, data science, and education, this book is an excellent resource for academicians, educators, educational leaders, and technology developers. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833732187-5; 979-833732185-1; Language A language of the resource English Type The nature or genre of the resource Book 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