The Mathematical Foundation of Multi-Space Learning Theory
Autor Tai Wang, Mengsiying Lien Limba Engleză Paperback – 30 iul 2025
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| Paperback (1) | 371.83 lei 43-57 zile | |
| Routledge – 30 iul 2025 | 371.83 lei 43-57 zile | |
| Hardback (1) | 1011.03 lei 43-57 zile | |
| Taylor & Francis – 12 mar 2024 | 1011.03 lei 43-57 zile |
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Specificații
ISBN-13: 9781032707020
ISBN-10: 103270702X
Pagini: 138
Dimensiuni: 156 x 234 x 8 mm
Greutate: 0.22 kg
Editura: Routledge
ISBN-10: 103270702X
Pagini: 138
Dimensiuni: 156 x 234 x 8 mm
Greutate: 0.22 kg
Editura: Routledge
Cuprins
1. Introduction on Multi-Space Learning 2. Partition Spaces to Optimize Learning Effectiveness 3. Matroid Theory 4. Current Foundations of Learning Sciences 5. Applications in Vocabulary Learning 6. Applications in Math Learning 7. Summary
Notă biografică
Tai Wang is a professor affiliated with the Faculty of Artificial Intelligence in Education at the Central China Normal University, China. His research interests include educational technologies, internet psychology, and natural language processing. One major topic of his research is learning environment constructions.
Mengsiying Li is a PhD candidate at the National Engineering Research Center for E-Learning, Central China Normal University, China, whose research focuses on learning spaces, strategies, and behavior.
Mengsiying Li is a PhD candidate at the National Engineering Research Center for E-Learning, Central China Normal University, China, whose research focuses on learning spaces, strategies, and behavior.