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Computational Learning Theories Models For Artificial Intelligence Promoting Learning Processes Advances In Analytics For Learning And Teaching 1st David C Gibson

  • SKU: BELL-58493894
Computational Learning Theories Models For Artificial Intelligence Promoting Learning Processes Advances In Analytics For Learning And Teaching 1st David C Gibson
$ 31.00 $ 45.00 (-31%)

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Computational Learning Theories Models For Artificial Intelligence Promoting Learning Processes Advances In Analytics For Learning And Teaching 1st David C Gibson instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 6.54 MB
Pages: 278
Author: David C. Gibson, Dirk Ifenthaler
ISBN: 9783031658976, 9783031658983, 3031658973, 3031658981
Language: English
Year: 2024
Edition: 1st

Product desciption

Computational Learning Theories Models For Artificial Intelligence Promoting Learning Processes Advances In Analytics For Learning And Teaching 1st David C Gibson by David C. Gibson, Dirk Ifenthaler 9783031658976, 9783031658983, 3031658973, 3031658981 instant download after payment.

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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