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. Cover Front Matter 1. Why ‘Computational’ Learning Theories? 2. AI and Learning Processes 3. A Complex Hierarchical Framework of Learning 4. Piaget and the Ontogeny of Intelligence 5. Keller and the ARCS Model of Motivation 6. Complexity Theory and Learning 7. AI Roles for Enhancing Individual Learning 8. Informal Social Learning 9. How People Learn 10. AI Assisting Individuals as Team Members 11. AI Roles for the Team or Organization 12. A Network Theory of Culture 13. AI Roles in Cultural Learning 14. Open Questions