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Sinopsis
This book delves into the core of education’s digital transformation, presenting a thorough and empirical examination of generative artificial intelligence (GenAI)’s impact beyond the theoretical and fragmented insights prevalent in current discourse.
Drawing from peer-reviewed and extensive empirical studies, the contributors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, effect and efficiency, meta-cognition, and ethics, offering a comprehensive exploration of GenAI’s educational implications. This book presents a closed loop of learning theory, multimodal data, and learning analytics technology. Furthermore, this book builds and proposes core conceptual models for future learning and identifies potential research directions.
This book will serve as a foundational reference for educators seeking innovative learning and teaching methods and for researchers and technologists who seek to push the boundaries of educational technology and related areas.
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Acerca del autor
Yizhou Fan is an Assistant Professor at the Graduate School of Education, Peking University and an Adjunct Research Fellow at the Centre for Learning Analytics, Monash University. He identifies himself as a learning analyst employing computational techniques to enhance the understanding of self-regulated learning and to develop next-generation learning environments for envisioning future education. In 2023, he received the Emerging Scholars Award and Early Career Research Grant from SoLAR (The Society for Learning Analytics Research). His recent research focuses on human-AI collaboration and the scaffolding of hybrid intelligence.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Learning with Generative Artificial Intelligence (Hardcover)
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Taylor & Francis Ltd, London, 2025
ISBN 10: 1041052804
ISBN 13: 9781041052807
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Hardcover. Condición: new. Hardcover. This book delves into the core of educations digital transformation, presenting a thorough and empirical examination of generative artificial intelligence (GenAI)s impact beyond the theoretical and fragmented insights prevalent in current discourse.Drawing from peer-reviewed and extensive empirical studies, the contributors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, effect and efficiency, meta-cognition, and ethics, offering a comprehensive exploration of GenAIs educational implications. This book presents a closed loop of learning theory, multimodal data, and learning analytics technology. Furthermore, this book builds and proposes core conceptual models for future learning and identifies potential research directions.This book will serve as a foundational reference for educators seeking innovative learning and teaching methods and for researchers and technologists who seek to push the boundaries of educational technology and related areas. This book delves into the core of education's digital transformation, presenting a thorough and empirical examination of Generative Artificial Intelligence (GenAI)'s impact, beyond the theoretical and fragmented insights prevalent in current discourse. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781041052807
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Learning with Generative Artificial Intelligence
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book delves into the core of education's digital transformation, presenting a thorough and empirical examination of generative artificial intelligence (GenAI)'s impact beyond the theoretical and fragmented insights prevalent in current discourse.Drawing from peer-reviewed and extensive empirical studies, the contributors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, effect and efficiency, meta-cognition, and ethics, offering a comprehensive exploration of GenAI's educational implications. This book presents a closed loop of learning theory, multimodal data, and learning analytics technology. Furthermore, this book builds and proposes core conceptual models for future learning and identifies potential research directions.This book will serve as a foundational reference for educators seeking innovative learning and teaching methods and for researchers and technologists who seek to push the boundaries of educational technology and related areas. 280 pp. Englisch. Nº de ref. del artículo: 9781041052807
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Learning with Generative Artificial Intelligence
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Yizhou Fan is an Assistant Professor at the Graduate School of Education, Peking University and an Adjunct Research Fellow at the Centre for Learning Analytics, Monash University. He identifies himself as a learning analyst employing computational. Nº de ref. del artículo: 2072972928
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Learning With Generative Artificial Intelligence : What Empirical Studies Tell Us?
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Learning with Generative Artificial Intelligence (Hardcover)
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Taylor & Francis Ltd, London, 2025
ISBN 10: 1041052804
ISBN 13: 9781041052807
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Hardcover. Condición: new. Hardcover. This book delves into the core of educations digital transformation, presenting a thorough and empirical examination of generative artificial intelligence (GenAI)s impact beyond the theoretical and fragmented insights prevalent in current discourse.Drawing from peer-reviewed and extensive empirical studies, the contributors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, effect and efficiency, meta-cognition, and ethics, offering a comprehensive exploration of GenAIs educational implications. This book presents a closed loop of learning theory, multimodal data, and learning analytics technology. Furthermore, this book builds and proposes core conceptual models for future learning and identifies potential research directions.This book will serve as a foundational reference for educators seeking innovative learning and teaching methods and for researchers and technologists who seek to push the boundaries of educational technology and related areas. This book delves into the core of education's digital transformation, presenting a thorough and empirical examination of Generative Artificial Intelligence (GenAI)'s impact, beyond the theoretical and fragmented insights prevalent in current discourse. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781041052807
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Learning with Generative Artificial Intelligence : What Empirical Studies Tell Us
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book delves into the core of education's digital transformation, presenting a thorough and empirical examination of generative artificial intelligence (GenAI)'s impact beyond the theoretical and fragmented insights prevalent in current discourse.Drawing from peer-reviewed and extensive empirical studies, the contributors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, effect and efficiency, meta-cognition, and ethics, offering a comprehensive exploration of GenAI's educational implications. This book presents a closed loop of learning theory, multimodal data, and learning analytics technology. Furthermore, this book builds and proposes core conceptual models for future learning and identifies potential research directions.This book will serve as a foundational reference for educators seeking innovative learning and teaching methods and for researchers and technologists who seek to push the boundaries of educational technology and related areas. Nº de ref. del artículo: 9781041052807
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