Synopsis
The integration of artificial intelligence (AI) into education reshapes how teaching, learning, and assessment are approached. AI in education uses foundational concepts from computer science, cognitive psychology, and pedagogy, personalizing learning experiences, automating administrative tasks, and providing real-time feedback. Frameworks guiding AI implementation enhance educational outcomes by making instruction more responsive and data driven. However, these frameworks must also account for ethical considerations, such as data privacy, algorithmic bias, and equitable access. By grounding AI technologies in educational theory and responsible design principles, organizations can create systems that support learners and educators in meaningful, inclusive ways. Foundations and Frameworks for AI in Education explores the transformative potential of AI in reshaping educational practices across all levels of learning. It provides a comprehensive examination of AI-driven tools and methodologies, including adaptive learning platforms, intelligent tutoring systems, and data-driven decision-making processes in education. This book covers topics such as data privacy, digital technology, and special education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists.
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About the Author
Viktor Wang has brought leadership to the study of Education. Alongside the production of 240 + Refereed Publications, Dr. Wang has provided many opportunities for his peers and students to develop their scholarly capabilities and stimulated the research agendas of numerous colleagues. To date, colleagues and doctoral students have contributed 200+ articles to his journals and 1500+ chapters to his books. Please check out articles and book chapters by the world's leading scholars in Dr. Wang's journals and books cataloged by Stanford University Libraries and other leading university libraries around the globe. He received the 2016 Presidential Award for Exceptional and Innovative Leadership from American Association For Adult and Continuing Education in addition to multiple institutional awards. Thus far, he has graduated more than 80 dissertation candidates.
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Hardcover. Condition: new. Hardcover. The integration of artificial intelligence (AI) into education reshapes how teaching, learning, and assessment are approached. AI in education uses foundational concepts from computer science, cognitive psychology, and pedagogy, personalizing learning experiences, automating administrative tasks, and providing real-time feedback. Frameworks guiding AI implementation enhance educational outcomes by making instruction more responsive and data driven. However, these frameworks must also account for ethical considerations, such as data privacy, algorithmic bias, and equitable access. By grounding AI technologies in educational theory and responsible design principles, organizations can create systems that support learners and educators in meaningful, inclusive ways. Foundations and Frameworks for AI in Education explores the transformative potential of AI in reshaping educational practices across all levels of learning. It provides a comprehensive examination of AI-driven tools and methodologies, including adaptive learning platforms, intelligent tutoring systems, and data-driven decision-making processes in education. This book covers topics such as data privacy, digital technology, and special education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists. "This book aims to explore the transformative potential of artificial intelligence (AI) tools in education, focusing on their application to enhance teaching, learning, and administrative processes. It seeks to bridge the gap between theoretical advancements in AI and their practical implementation in educational settings"-- 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. Seller Inventory # 9798337323978
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Buch. Condition: Neu. Foundations and Frameworks for AI in Education | Viktor Wang | Buch | Englisch | 2025 | IGI Global | EAN 9798337323978 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 133722370
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of artificial intelligence (AI) into education reshapes how teaching, learning, and assessment are approached. AI in education uses foundational concepts from computer science, cognitive psychology, and pedagogy, personalizing learning experiences, automating administrative tasks, and providing real-time feedback. Frameworks guiding AI implementation enhance educational outcomes by making instruction more responsive and data driven. However, these frameworks must also account for ethical considerations, such as data privacy, algorithmic bias, and equitable access. By grounding AI technologies in educational theory and responsible design principles, organizations can create systems that support learners and educators in meaningful, inclusive ways. Foundations and Frameworks for AI in Education explores the transformative potential of AI in reshaping educational practices across all levels of learning. It provides a comprehensive examination of AI-driven tools and methodologies, including adaptive learning platforms, intelligent tutoring systems, and data-driven decision-making processes in education. This book covers topics such as data privacy, digital technology, and special education, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and scientists. Seller Inventory # 9798337323978
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