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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.