Analyzing teacher-student interactions through graph theory applied to hyperscanning fNIRS data

Amanda Yumi Ambriola Oku1, Eneyse Dayane Pinheiro1, Raimundo da Silva Soares1

  • 1Center of Mathematics, Computing and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil.

Progress in Brain Research
|November 30, 2023
PubMed
Summary

Neuroscience reveals neural underpinnings of teacher-student interactions using graph theory. Functional near-infrared spectroscopy (fNIRS) data showed distinct brain activity patterns related to teaching and learning processes.

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