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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.
Produkteigenschaften
- Artikelnummer: 9783031658976
- Medium: Buch
- ISBN: 978-3-031-65897-6
- Verlag: Springer Nature Switzerland
- Erscheinungstermin: 17.07.2024
- Sprache(n): Englisch
- Auflage: 2024
- Serie: Advances in Analytics for Learning and Teaching
- Produktform: Gebunden
- Gewicht: 424 g
- Seiten: 154
- Format (B x H x T): 160 x 241 x 15 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Sozialwissenschaften
- Pädagogik
- Lehrerausbildung, Unterricht & Didaktik
- E-Learning, Bildungstechnologie
- Sozialwissenschaften
- Psychologie
- Allgemeine Psychologie
- Entwicklungspsychologie
- Pädagogische Psychologie