Brain-to-Brain Synchrony and Learning Outcomes Vary by Student-Teacher Dynamics: Evidence from a Real-world Classroom Electroencephalography Study.


Journal

Journal of cognitive neuroscience
ISSN: 1530-8898
Titre abrégé: J Cogn Neurosci
Pays: United States
ID NLM: 8910747

Informations de publication

Date de publication:
03 2019
Historique:
pubmed: 1 5 2018
medline: 14 3 2020
entrez: 1 5 2018
Statut: ppublish

Résumé

How does the human brain support real-world learning? We used wireless electroencephalography to collect neurophysiological data from a group of 12 senior high school students and their teacher during regular biology lessons. Six scheduled classes over the course of the semester were organized such that class materials were presented using different teaching styles (videos and lectures), and students completed a multiple-choice quiz after each class to measure their retention of that lesson's content. Both students' brain-to-brain synchrony and their content retention were higher for videos than lectures across the six classes. Brain-to-brain synchrony between the teacher and students varied as a function of student engagement as well as teacher likeability: Students who reported greater social closeness to the teacher showed higher brain-to-brain synchrony with the teacher, but this was only the case for lectures-that is, when the teacher is an integral part of the content presentation. Furthermore, students' retention of the class content correlated with student-teacher closeness, but not with brain-to-brain synchrony. These findings expand on existing social neuroscience research by showing that social factors such as perceived closeness are reflected in brain-to-brain synchrony in real-world group settings and can predict cognitive outcomes such as students' academic performance.

Identifiants

pubmed: 29708820
doi: 10.1162/jocn_a_01274
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

401-411

Auteurs

Dana Bevilacqua (D)

New York University.

Ido Davidesco (I)

New York University.

Lu Wan (L)

University of Florida.

Kim Chaloner (K)

Grace Church School, New York, NY.

Jess Rowland (J)

New York University.
School of Visual Arts, New York, NY.

Mingzhou Ding (M)

University of Florida.

David Poeppel (D)

New York University.
Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany.

Suzanne Dikker (S)

New York University.
Utrecht University.

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Classifications MeSH