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Paperback. Condition: new. Paperback. AI is rapidly transforming education, offering more opportunities for pedagogical innovation. By integrating AI tools and systems into teaching and learning environments, educators can now personalize instructions and enhance student engagement. As educational institutions continue to explore the potential of AI, it becomes increasingly important to understand how these innovations can be harnessed to improve learning outcomes and reshape traditional pedagogical models. AI Applications and Pedagogical Innovation explores the transformation of AI in the educational field. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as AI, education, and technology, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condition: new. Paperback. The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Information Science Reference, 2021
ISBN 10: 1799890821 ISBN 13: 9781799890829
Language: English
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Published by Information Science Reference, 2013
ISBN 10: 1466642491 ISBN 13: 9781466642492
Language: English
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Hardcover. Condition: new. Hardcover. AI is rapidly transforming education, offering more opportunities for pedagogical innovation. By integrating AI tools and systems into teaching and learning environments, educators can now personalize instructions and enhance student engagement. As educational institutions continue to explore the potential of AI, it becomes increasingly important to understand how these innovations can be harnessed to improve learning outcomes and reshape traditional pedagogical models. AI Applications and Pedagogical Innovation explores the transformation of AI in the educational field. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as AI, education, and technology, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Information Science Publishing, 2010
ISBN 10: 1615206949 ISBN 13: 9781615206940
Language: English
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Hardcover. Condition: new. Hardcover. The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Information Science Reference, 2018
ISBN 10: 1522577300 ISBN 13: 9781522577300
Language: English
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Published by Information Science Reference, 2021
ISBN 10: 1799876004 ISBN 13: 9781799876007
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Published by Information Science Reference, 2022
ISBN 10: 1668441446 ISBN 13: 9781668441442
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Published by Information Science Reference, 2020
ISBN 10: 1799841413 ISBN 13: 9781799841418
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Published by Royal Society of Chemistry, 2017
ISBN 10: 178262788X ISBN 13: 9781782627883
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Published by Medical Information Science Reference, 2014
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Published by Information Science Reference 2017-12-30, 2017
ISBN 10: 1522551646 ISBN 13: 9781522551645
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