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portada Computational Learning Theories. Models for Artificial Intelligence Promoting Learning Processes
Formato
Libro Físico
Colección
Advances in Analytics for Learning and Teaching
Año
2025
N° páginas
154
Encuadernación
Tapa Blanda
Dimensiones
23.50 x 15.50 cm
ISBN13
9783031659003

Computational Learning Theories. Models for Artificial Intelligence Promoting Learning Processes

David C. Gibson;Dirk Ifenthaler (Autor) · Springer International Publishing AG · Tapa Blanda

Computational Learning Theories. Models for Artificial Intelligence Promoting Learning Processes - David C. Gibson;Dirk Ifenthaler

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Reseña del libro "Computational Learning Theories. Models for Artificial Intelligence Promoting Learning Processes"

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.

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