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Computational Learning Theories : Models for Artificial Intelligence Promoting Learning Processes - 2024 ed.

By: (Author) David C. Gibson , (Author) Dirk Ifenthaler

Extended Catalogue

Ksh 23,400.00

Format: Hardback or Cased Book

ISBN-10: 3031658973

ISBN-13: 9783031658976

Edition: 2024 ed.

Series: Advances in Analytics for Learning and Teaching

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 17th, 2024

Print length: 154 Pages

Weight: 410 grams

Dimensions (height x width x thickness): 15.90 x 24.20 x 1.60 cms

Product Classification: Education
Educational psychology
Educational equipment & technology, computer-aided learning (CAL)

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This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building.

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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