Neurological Dynamic Development Cycles of Abstractions in Math Learning

수학학습의 추상적 개념발달에 대한 뇌신경학적 역동학습 연구

  • Received : 2014.11.09
  • Accepted : 2014.12.06
  • Published : 2014.12.31


This is to understand the neurological dynamic cognitive processes of math learning based on the abstract mappings( level A2), abstract systems(level A3), and single principles(level A4), which are principles of Fischer's cognitive development theory. Math learning requires flexibility to adapt existing brain function in selecting new neurophysiological activities to learn desired knowledge. This study suggests a general statistical framework for the identification of neurological patterns in different abstract learning change with optimal support. We expected that functional brain networks derived from a simple math learning would change dynamically during the supportive learning associated with different abstract levels. Task based patterns of the brain structure and function on representations of underlying connectivity suggests the possible prediction for the success of the supportive learning.


Supported by : 경성대학교