This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building. It advances the learning sciences by integrating learning theory with computational biology and complexity, offering an updated mechanism of learning, which integrates previous theories, provides a basis for scaling from individuals to societies, and unifies models of psychology, sociology and cultural studies.
The book provides a road map for the development of AI that addresses the central problems of learning theory in the age of artificial intelligence including:
The book will be of interest to educational professionals, researchers, and developers of educational technology that utilize artificial intelligence.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Professor David Gibson, is the UNESCO Chair on Data Science in Higher Education Learning and Teaching at Curtin University in Perth Australia. He received his doctorate in Leadership and Policy Studies from the University of Vermont in 1999 based on a study of complex systems modeling of educational change. His study demonstrated the feasibility of bridging from qualitative information to quantifiable dynamic relationships in complex models that verify trajectories of organizational change. He provides thought leadership as a researcher, professor, learning scientist and innovator.
He is creator of simSchool, a classroom flight simulator for preparing educators and provides vision and sponsorship for Curtin University’s Challenge, a mobile, game-based learning platform. His research has extended from learning analytics, complex systems analysis and modeling of education to application of complexity via games and simulations in teacher education, web applications and the future of learning. Dr. Gibson has also advanced the use of technology to personalize education via cognitive modeling, design and implementation.
Dirk Ifenthaler is Professor and Chair of Learning, Design and Technology at University of Mannheim, Germany and UNESCO Deputy Chair on Data Science in Higher Education Learning and Teaching at Curtin University, Australia. Dirk’s research focuses on the intersection of cognitive psychology, educational technology, data analytics, and organisational learning. He is the Editor-in-Chief of the Technology, Knowledge and Learning and Editor-in-Chief of Educational Technology & Society.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. Computational Learning Theories | Models for Artificial Intelligence Promoting Learning Processes | David C. Gibson (u. a.) | Taschenbuch | Advances in Analytics for Learning and Teaching | xiii | Englisch | 2025 | Springer | EAN 9783031659003 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 133693213
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building. It advances the learning sciences by integrating learning theory with computational biology and complexity, offering an updated mechanism of learning, which integrates previous theories, provides a basis for scaling from individuals to societies, and unifies models of psychology, sociology and cultural studies.The book provides a road map for the development of AI that addresses the central problems of learning theory in the age of artificial intelligence including: optimizing human-machine collaborationpromoting individual learningbalancing personalization with privacydealing with biases and promoting fairnessexplaining decisions and recommendations to build trust and accountabilitycontinuously balancing and adapting to individual, team and organizational goalsgenerating and generalizing knowledge across fields and domainsThe book will be of interest to educational professionals, researchers, and developers of educational technology that utilize artificial intelligence.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 168 pp. Englisch. N° de réf. du vendeur 9783031659003
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building. It advances the learning sciences by integrating learning theory with computational biology and complexity, offering an updated mechanism of learning, which integrates previous theories, provides a basis for scaling from individuals to societies, and unifies models of psychology, sociology and cultural studies. The book provides a road map for the development of AI that addresses the central problems of learning theory in the age of artificial intelligence including: optimizing human-machine collaborationpromoting individual learningbalancing personalization with privacydealing with biases and promoting fairnessexplaining decisions and recommendations to build trust and accountabilitycontinuously balancing and adapting to individual, team and organizational goalsgenerating and generalizing knowledge across fields and domainsThe book will be of interest to educational professionals, researchers, and developers of educational technology that utilize artificial intelligence. N° de réf. du vendeur 9783031659003
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