Synopsis
This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. A valuable resource for researchers and educators, as well as for policymakers focused on promoting equitable and transparent learning environments.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Bo Jiang is an associate professor at East China Normal University, China. His research interests include intelligent tutoring technologies, computational thinking education, and AI education. He holds academic positions as an executive committee member of the Asia-Pacific Society for Computers in Education (APSCE) and a youth committee member of the Chinese Association for Artificial Intelligence.
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Toward Trustworthy Adaptive Learning : Explainable Learner Models
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Toward Trustworthy Adaptive Learning (Hardcover)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032954957
ISBN 13 : 9781032954950
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Hardcover. Etat : new. Hardcover. This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. It aims to provide readers with a comprehensive understanding of how these models can enhance adaptive learning systems.Chapters cover a wide range of topics, including the development and optimization of explainable learner models, the integration of these models into adaptive learning systems, and their implications for educational equity. It also discusses the latest advancements in AI explainability techniques, such as pre-hoc and post-hoc explainability, and their application in intelligent tutoring systems. Lastly, the book provides practical examples and case studies to illustrate how explainable learner models can be implemented in real-world educational settings.This book is an essential resource for researchers, educators, and practitioners interested in the intersection of AI and education. It offers valuable insights for those looking to integrate explainable AI into their educational practices, as well as for policymakers focused on promoting equitable and transparent learning environments. This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. A valuable resource for researchers and educators, as well as for policymakers focused on promoting equitable and transparent learning environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032954950
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Toward Trustworthy Adaptive Learning : Explainable Learner Models
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Toward Trustworthy Adaptive Learning : Explainable Learner Models
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Routledge, 2025
ISBN 10 : 1032954957
ISBN 13 : 9781032954950
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Couverture rigide
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Toward Trustworthy Adaptive Learning (Hardcover)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032954957
ISBN 13 : 9781032954950
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. It aims to provide readers with a comprehensive understanding of how these models can enhance adaptive learning systems.Chapters cover a wide range of topics, including the development and optimization of explainable learner models, the integration of these models into adaptive learning systems, and their implications for educational equity. It also discusses the latest advancements in AI explainability techniques, such as pre-hoc and post-hoc explainability, and their application in intelligent tutoring systems. Lastly, the book provides practical examples and case studies to illustrate how explainable learner models can be implemented in real-world educational settings.This book is an essential resource for researchers, educators, and practitioners interested in the intersection of AI and education. It offers valuable insights for those looking to integrate explainable AI into their educational practices, as well as for policymakers focused on promoting equitable and transparent learning environments. This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. A valuable resource for researchers and educators, as well as for policymakers focused on promoting equitable and transparent learning environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032954950
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Image d'archives
Toward Trustworthy Adaptive Learning : Explainable Learner Models
Edité par
Routledge, 2025
ISBN 10 : 1032954957
ISBN 13 : 9781032954950
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 48314053
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Toward Trustworthy Adaptive Learning (Assessment of Educational Technology)
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Toward Trustworthy Adaptive Learning
Edité par
Taylor and Francis, 2025
ISBN 10 : 1032954957
ISBN 13 : 9781032954950
Neuf
Couverture rigide
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Toward Trustworthy Adaptive Learning
Edité par
Taylor and Francis, 2025
ISBN 10 : 1032954957
ISBN 13 : 9781032954950
Neuf
Couverture rigide
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