Téléchargez le livre : Computational Learning Theories

Computational Learning Theories

Models for Artificial Intelligence Promoting Learning Processes de

,

Éditeur :

Springer


Paru le : 2024-07-16

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Description

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 domains


The book will be of interest to educational professionals, researchers, and developers of educational technology that utilize artificial intelligence.
Pages
154 pages
Collection
n.c
Parution
2024-07-16
Marque
Springer
EAN papier
9783031658976
EAN PDF
9783031658983
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
6758 Ko
Prix
158,24 €
EAN EPUB
9783031658983
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
3492 Ko
Prix
158,24 €

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