Abstract

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.

Keywords

• Brainwave;
• Dynamic Learning;
• Abstract Mappings;
• Abstract Systems;
• Single Principles

• 뇌파;
• 역동학습;
• 추상적맵핑;
• 추상적 체계;
• 단일원리;

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Acknowledgement

Supported by : 경성대학교