Name: Computational Learning Theories. Models for Artificial Intelligence Promoting Learning Processes
Price: 177.52 USD
Availability: InStock
Author: David C. Gibson;Dirk Ifenthaler
ISBN: 9783031659003

portada Computational Learning Theories. Models for Artificial Intelligence Promoting Learning Processes

Computational Learning Theories. Models for Artificial Intelligence Promoting Learning Processes

Formato

Libro Físico

Editorial

Springer International Publishing AG

Autor

David C. Gibson;Dirk Ifenthaler

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

Libro Nuevo Importado

Envío: 20 a 27 días háb.

$ 295.86$ 177.52

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 177.52

Llega entre el 09 Sep y el 22 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

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.