The Intersection of AI and Student Development in Learning

The intersection of artificial intelligence (AI) and student development in learning represents a transformative shift in education, where technology and pedagogy enhance how students acquire knowledge and skills. AI-driven tools personalize learning experiences, adapting to individual student needs, and providing real-time feedback that empowers learners for academic growth. AI also supports social, emotional, and cognitive development by helping educators identify learning patterns, address challenges, and create inclusive environments. As AI evolves, its integration into education optimized learning outcomes and redefines learning and growing in a digital age. The Intersection of AI and Student Development in Learning explores the impact of AI on new curricula, pedagogical development, student cognition, and educational policy. It examines theoretical frameworks to support research and practice in AI-related teaching and learning. This book covers topics such as instructional design, professional development, and emotion detection, and is a useful resource for educators, computer engineers, academicians, researchers, and scientists.

Robert Zheng is an associate professor of instructional design and educational technology in the Department of Educational Psychology at the University of Utah, USA. His research area includes multimedia and cognition, instructional design and development, web-based learning, and educational gamification. He has published over 50 refereed journal papers and book chapters. He is the editor and co-editor of nine books published by Routledge, Nova Science, and IGI Global. He was the founding editor of the International Journal of Cyber Behavior, Psychology and Learning (2008-2012).