1st Edition

The Mathematical Foundation of Multi-Space Learning Theory

By Tai Wang, Mengsiying Li Copyright 2024
136 Pages 17 B/W Illustrations
by Routledge

136 Pages 17 B/W Illustrations
by Routledge

136 Pages 17 B/W Illustrations
by Routledge

This book explores the measurement of learning effectiveness and the optimization of knowledge retention by modeling the learning process and building the mathematical foundation of multi-space learning theory. Multi-space learning is defined in this book as a micro-process of human learning that can take place in more than one space, with the goal of effective learning and knowledge retention.... Read more

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

Biography

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.