Computational Learning Theories

Name: Computational Learning Theories
Brand: Springer Nature Switzerland
SKU: 9783031659003
Price: 3654 CZK
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Autor: David C. Gibson

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer Nature Switzerland

Dostupnost: Skladem u dodavatele

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This book shows how artificial intelligence grounded in learning theories can promote individual lea...

Informace o knize

Autor

David C. Gibson

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2025

Stránek

168

EAN

9783031659003

ISBN

3031659007

Enbook ID

49299642

Vydavatel

Springer Nature Switzerland

Hmotnost

265

Rozměry

155 x 235 x 10

Kompletní popis

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 collaboration
promoting individual learning
balancing personalization with privacy
dealing with biases and promoting fairness
explaining decisions and recommendations to build trust and accountability
continuously balancing and adapting to individual, team and organizational goals
generating and generalizing knowledge across fields and domains

The book will be of interest to educational professionals, researchers, and developers of educational technology that utilize artificial intelligence.

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Computational Learning Theories

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