AI, Personalization, Equity, and the Future of Learning - Softcover

Softcover

ISBN 13: 9798337350981

Publisher: Information Science Reference, 2025

Synopsis

The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more.

About this title

About the Author

Dr. Viktor Wang , a globally recognized professor in the Department of Educational Leadership & Technology at California State University, San Bernardino, USA, stands as a trailblazer in the field of Education. With an extensive body of work that includes over 260 peer-reviewed publications, he has made significant contributions to academic scholarship while fostering the growth of students and colleagues alike. His leadership in academic publishing has inspired peers to contribute more than 200 articles to his journals and over 1,500 chapters to his books, with collaborations from prominent scholars around the world. These publications are widely respected and cataloged by esteemed institutions, including the Stanford University Library and other top-tier university libraries globally. Dr. Wang’s achievements have earned him numerous accolades, including the prestigious 2016 Presidential Award for Exceptional and Innovative Leadership from the American Association for Adult and Continuing Education, alongside several institutional honors such as the Distinguished Faculty and Scholarly Achievement Award. As a dedicated mentor, Dr. Wang has guided over 80 doctoral students through their dissertations, leaving an indelible mark on the future of education through his commitment to research, leadership, and innovation.

Edition details

• Publisher: Information Science Reference
• Publication date: 2025
• Language: English
• ISBN 13: 9798337350981
• Binding: Paperback
• Number of pages: 566
• Editor: Wang Viktor