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Computational Learning Theories

Name: Computational Learning Theories
Brand: Springer Nature Switzerland
SKU: 49299642
Price: 62772 HUF
Availability: InStock
Author: David C. Gibson
ISBN: 9783031659003

David C. Gibson

Language

English

Book Paperback

Libristo code: 49299642

Publishers Springer Nature Switzerland, July 2025

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

Libristo code: 49299642

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62 772 Ft

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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.