The Mathematical Foundation of Multi Space Learning Theory is popular PDF and ePub book, written by Tai Wang in 2024-03-12, it is a fantastic choice for those who relish reading online the Education genre. Let's immerse ourselves in this engaging Education book by exploring the summary and details provided below. Remember, The Mathematical Foundation of Multi Space Learning Theory can be Read Online from any device for your convenience.

The Mathematical Foundation of Multi Space Learning Theory Book PDF Summary

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. This book models the learning process as a temporal sequence of concept learning, drawing on established principles and empirical evidence. It also introduces the matroid to strengthen the mathematical foundation of multi-space learning theory and applies the theory to vocabulary and mathematics learning, respectively. The results show that, for vocabulary learning, the method can be used to estimate the effectiveness of a single learning strategy, to detect the mutual interference that might exist between learning strategies, and to predict the optimal combination of strategies. In mathematical learning, it was found that timing is crucial in both first learning and second learning in scheduling optimization to maximize the intersection effective interval. The title will be of interest to researchers and students in a wide range of areas, including educational technology, learning sciences, mathematical applications, and mathematical psychology.

Detail Book of The Mathematical Foundation of Multi Space Learning Theory PDF

The Mathematical Foundation of Multi Space Learning Theory
  • Author : Tai Wang
  • Release : 12 March 2024
  • Publisher : Taylor & Francis
  • ISBN : 9781003853800
  • Genre : Education
  • Total Page : 137 pages
  • Language : English
  • PDF File Size : 15,7 Mb

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