Collaborative Paradigms of Generative AI and Human Intelligence for Equitable Learning Futures. This item is unavailable.Collaborative Paradigms of Generative AI and Human Intelligence for Equitable Learning Futures

Generative artificial intelligence (GenAI) reshapes educational landscapes, offering new opportunities in improved human intelligence. When integrated, collaborative paradigms that combine GenAI with human cognition support equitable learning futures by personalizing instruction, reducing access barriers, and increasing knowledge diversity. This requires intentional design centered on human agency, ethical responsibility, and inclusivity. Examining how GenAI systems and human intelligence can collaborate may further reveal new paths for fostering learning environments that are technologically advanced, socially just, and pedagogically grounded. Collaborative Paradigms of Generative AI and Human Intelligence for Equitable Learning Futures explores the integration of GenAI and human intelligence into education systems for improved personalization, inclusivity, and strategic planning. It examines the role of educators as implementers of hybrid learning ecosystems, as well as ethical concerns like bias, data privacy, and access to AI tools. This book covers topics such as educational technology, curriculum development, and personalized learning, and is a useful resource for educators, engineers, policymakers, academicians, researchers, and scientists.

Faizan Ahmad is an Assistant Professor of Computer Science at the Cardiff School of Technologies, Cardiff Metropolitan University. He is a member of the Creative Computing Research Centre. With over 12 years of teaching and research experience in computer science, he has developed a strong background in various areas of the field. He has developed and led courses in Artificial Intelligence (AI), Human-Computer Interaction (HCI), Games, and Web and Mobile Application Development. His research interests lie in AI, HCI, Gamification, Metaverse, Internet of Things (IoT), and Machine Learning (ML) based solutions for Smart Learning, Assistive Technologies, Educational Technologies, Healthcare, and Industry 5.0. To date, he has published 30 high-quality research articles, with a total impact factor of 55.46 and over 700 citations (h-index: 7, i10-index: 5) in prestigious conferences and Q1 journals. In recognition of his contributions, he was awarded the Distinguished Foreign Student Award by Beihang University, China, and Fellow status by the Higher Education Academy, UK. Additionally, he is honored to be endorsed by the Royal Society, UK, as a Global Talent. He is also the guest editor for the Special Issue on Emerging Media and Technology Applications in Learning Sciences: Innovations, Impacts, and Future Directions in the Journal of Human Behavior and Emerging Technologies.

Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electrical & Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. and has done his M.Tech. with specialization in Power Control (Instrumentation) and also done his MBA from Finance and Marketing. His subjects of interest are related to Biomedical & Healthcare, Image Processing, Digital Electronics, and Machine Learning. He has 14 years of teaching and research experience has published more than 30 research papers in National and International journals, conferences & Book Chapters in CRC, NOVA, Taylor & Francis, Springer and IGI Publisher.