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.
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Hardcover. Condizione: new. Hardcover. 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. "This book aims to examine the relationship between AI technology and cognitive development in education and the untethering the ethical and policy aspects of AI application in education"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798337329277
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Da: preigu, Osnabrück, Germania
Buch. Condizione: Neu. The Intersection of AI and Student Development in Learning | Robert Zheng | Buch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337329277 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 134421475
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Da: AHA-BUCH GmbH, Einbeck, Germania
Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9798337329277
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