fMRI 분석을 활용한 두뇌 연결망 기반 생물 분류 학습 모형 개발

초록

The purpose of this study is the development of the learning model for biology classification by investigation of interaction among brain regions related to the thinking process of biology classification. The researcher analyzed the brain activation region during biology classification, and the effective connectivity of the brain was analyzed by structural equation modeling for the construction of the learning step. Also, the learning factor and instruction strategy were composed of neurological and cognitive psychological analysis to brain connectivity of biology classification. Researchers found the brain connectivity circuit like as; visual cortex-premotor cortex-dorsolateral prefrontal cortex-ventrolateral prefrontal cortex-dorsolateral prefrontal cortex. That is, the brain affects the thinking process of biology classification according to the brain pathway. Also, the learning step, factor, and strategy were extracted by analysis of brain pathway and interaction effect. Finally, the researcher was able to develop the learning model of biology classification based on brain connectivity.

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