Integration of Teaching Processes and Learning Assessment in the Prefrontal Cortex during a Video Game Teaching–learning Task

Human teaching is a social interaction that supports reciprocal and dynamical feedback between the teacher and the student. The prefrontal cortex (PFC) is a region of particular interest due to its demonstrated role in social interaction. In the present study, we evaluated the PFC activity simultaneously in two individuals playing the role of a teacher and student in a video game teaching–learning task. For that, we used two wearable near-infrared spectroscopy (NIRS) devices in order to elucidate the neural mechanisms underlying cognitive interactions between teachers and students. Fifteen teacher–student pairs in total (N = 30) participated in this study. Each teacher was instructed to teach the video game to their student partner, without speaking. The PFC activity was simultaneously evaluated in both participants using a wearable 16-channel NIRS system during the video game teaching–learning task. Two sessions, each including a triplet of a 30-s teaching–learning task, were performed in order to evaluate changes in PFC activity after advancement of teaching–learning state. Changes in the teachers’ left PFC activity between the first and second session positively correlated with those observed in students (r = 0.694, p = 0.004). Moreover, among teachers, multiple regression analysis revealed a correlation between the left PFC activity and the assessment gap between one’s own teaching and the student’s understanding (β = 0.649, p = 0.009). Activity in the left PFC changed synchronously in both teachers and students after advancement of the teaching–learning state. The left PFC of teachers may be involved in integrating information regarding one’s own teaching process and the student’s learning state. The present observations indicate that simultaneous recording and analysis of brain activity data during teacher–student interactions may be useful in the field of educational neuroscience.

[1]  M. van vugt,et al.  Sex differences in cooperation: a meta-analytic review of social dilemmas. , 2011, Psychological bulletin.

[2]  Xu Cui,et al.  NIRS-based hyperscanning reveals increased interpersonal coherence in superior frontal cortex during cooperation , 2012, NeuroImage.

[3]  Chaozhe Zhu,et al.  Neural Synchronization during Face-to-Face Communication , 2012, The Journal of Neuroscience.

[4]  M. Sigman,et al.  Neuroscience and education: prime time to build the bridge , 2014, Nature Neuroscience.

[5]  M. Rietschel,et al.  Positive Association of Video Game Playing with Left Frontal Cortical Thickness in Adolescents , 2014, PloS one.

[6]  C. Heyes,et al.  Supra-personal cognitive control and metacognition , 2014, Trends in Cognitive Sciences.

[7]  M. Tamura,et al.  Interpretation of near-infrared spectroscopy signals: a study with a newly developed perfused rat brain model. , 2001, Journal of applied physiology.

[8]  A. Ehlis,et al.  Simulation of Near-Infrared Light Absorption Considering Individual Head and Prefrontal Cortex Anatomy: Implications for Optical Neuroimaging , 2011, PloS one.

[9]  Ichiro Miyai,et al.  Gait capacity affects cortical activation patterns related to speed control in the elderly , 2009, Experimental Brain Research.

[10]  Ana Raposo,et al.  Contributions of frontopolar cortex to judgments about self, others and relations. , 2011, Social cognitive and affective neuroscience.

[11]  M. Kline How to learn about teaching: An evolutionary framework for the study of teaching behavior in humans and other animals. , 2014, The Behavioral and brain sciences.

[12]  Viktor Müller,et al.  Interactive brains, social minds , 2011, Communicative & integrative biology.

[13]  Dénes Szücs,et al.  Educational neuroscience: Developmental mechanisms: Towards a conceptual framework , 2011, NeuroImage.

[14]  M. Iacoboni Imitation, empathy, and mirror neurons. , 2009, Annual review of psychology.

[15]  F. Scholkmann,et al.  A new methodical approach in neuroscience: assessing inter-personal brain coupling using functional near-infrared imaging (fNIRI) hyperscanning , 2013, Front. Hum. Neurosci..

[16]  Heidrun Wabnitz,et al.  The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy , 2012, NeuroImage.

[17]  Y. Hu,et al.  Synchronous brain activity during cooperative exchange depends on gender of partner: A fNIRS‐based hyperscanning study , 2015, Human brain mapping.

[18]  Christian Jutten,et al.  Non-local mind from the perspective of social cognition , 2012, Front. Hum. Neurosci..

[19]  Matthew Pelowski,et al.  Clarifying the interaction types in two-person neuroscience research , 2014, Front. Hum. Neurosci..

[20]  R. Pianta,et al.  Teacher-Child Relationships and Children's Success in the First Years of School , 2004 .

[21]  Robert C. Pianta,et al.  Relationships Between Teachers and Children , 2003 .

[22]  Diego E. Shalom,et al.  The teaching and the learning brain: A cortical hemodynamic marker of teacher–student interactions in the Socratic dialog , 2013 .

[23]  C. Frith The role of metacognition in human social interactions , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[24]  R. Dolan,et al.  The neural basis of metacognitive ability , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[25]  Keum-Shik Hong,et al.  Online binary decision decoding using functional near-infrared spectroscopy for the development of brain–computer interface , 2014, Experimental Brain Research.

[26]  Mariano Sigman,et al.  Teaching, naturally , 2014, Trends in Neuroscience and Education.

[27]  Ann-Christine Ehlis,et al.  Variability of (functional) hemodynamics as measured with simultaneous fNIRS and fMRI during intertemporal choice , 2013, NeuroImage.

[28]  Matthew L. Dixon,et al.  A framework for understanding the relationship between externally and internally directed cognition , 2014, Neuropsychologia.

[29]  Keum Shik Hong,et al.  Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface , 2016, Comput. Intell. Neurosci..

[30]  Meltem Izzetoglu,et al.  Efficient learning produces spontaneous neural repetition suppression in prefrontal cortex , 2010, Behavioural Brain Research.

[31]  G. Hruby Three requirements for justifying an educational neuroscience. , 2012, The British journal of educational psychology.

[32]  K. Kubota,et al.  Synchronous activity of two people's prefrontal cortices during a cooperative task measured by simultaneous near-infrared spectroscopy. , 2011, Journal of biomedical optics.

[33]  Ata Akin,et al.  Analysis of task-evoked systemic interference in fNIRS measurements: Insights from fMRI , 2014, NeuroImage.

[34]  Irene Liu,et al.  Improved modulation of rostrolateral prefrontal cortex using real-time fMRI training and meta-cognitive awareness , 2011, NeuroImage.

[35]  James P. Byrnes,et al.  Educational neuroscience: definitional, methodological, and interpretive issues. , 2015, Wiley interdisciplinary reviews. Cognitive science.

[36]  Martin Wolf,et al.  Between-brain connectivity during imitation measured by fNIRS , 2012, NeuroImage.

[37]  Gabriele Gratton,et al.  Effects of measurement method, wavelength, and source-detector distance on the fast optical signal , 2006, NeuroImage.

[38]  Vanessa Rodríguez,et al.  The Human Nervous System: A Framework for Teaching and the Teaching Brain , 2013 .

[39]  Katsumi Watanabe Teaching as a Dynamic Phenomenon with Interpersonal Interactions , 2013 .

[40]  E. Watanabe,et al.  Spatial and temporal analysis of human motor activity using noninvasive NIR topography. , 1995, Medical physics.

[41]  S. Shimojo,et al.  Interpersonal body and neural synchronization as a marker of implicit social interaction , 2012, Scientific Reports.

[42]  K. Hong,et al.  Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application , 2016, Front. Hum. Neurosci..

[43]  G. Ding,et al.  Leader emergence through interpersonal neural synchronization , 2015, Proceedings of the National Academy of Sciences.

[44]  K. Verschueren,et al.  Classroom problem behavior and teacher-child relationships in kindergarten: the moderating role of classroom climate. , 2008, Journal of school psychology.

[45]  S. Arridge,et al.  Estimation of optical pathlength through tissue from direct time of flight measurement , 1988 .

[46]  J. Hughes,et al.  Teacher-Student Support, Effortful Engagement, and Achievement: A 3-Year Longitudinal Study. , 2008, Journal of educational psychology.

[47]  I. van der Veen,et al.  Student-teacher relationship quality and academic adjustment in upper elementary school: the role of student personality. , 2013, Journal of school psychology.

[48]  Self-Concept Variables Sex Differences in , 2016 .