Computational Learning Theories: Models for Artificial Intelligence Promoting Learning Processes (Advances in Analytics for Learning and Teaching)
by David C. Gibson and Dirk Ifenthaler
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Fulfillment optionsComputational Learning Theories
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.
Details
- Publisher
- Springer Nature Switzerland
- Authors
- David C. Gibson, Dirk Ifenthaler
- Format
- Hardcover
- Published
- Jul 17, 2024
- ISBN-13
- 9783031658976
- Pages
- 154
- Printing
- Printed on demand
Computational Learning Theories for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $158.39 | 12% off list |
| 50 – 99 | $156.59 | 13% off list |
| 100+ | $154.79 | 14% off list |
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Computational Learning Theories: Models for Artificial Intelligence Promoting Learning Processes (Advances in Analytics for Learning and Teaching)
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