Enhancement of teaching outcome through neural prediction of the students' knowledge state
The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about teaching have proposed that before any teaching takes place, the teacher will predict the knowledge state of the student(s) to enhance the teaching outcome, this theoretical Prediction‐Transmission...
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Published in | Human brain mapping Vol. 39; no. 7; pp. 3046 - 3057 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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John Wiley & Sons, Inc
01.07.2018
John Wiley and Sons Inc |
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Abstract | The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about teaching have proposed that before any teaching takes place, the teacher will predict the knowledge state of the student(s) to enhance the teaching outcome, this theoretical Prediction‐Transmission hypothesis has not been tested with any neuroimaging studies. Using functional near‐infrared spectroscopy‐based hyperscanning, this study measured brain activities of the teacher–student pairs simultaneously. Results showed that better teaching outcome was associated with higher time‐lagged interpersonal neural synchronization (INS) between right temporal‐parietal junction (TPJ) of the teacher and anterior superior temporal cortex (aSTC) of the student, when the teacher's brain activity preceded that of the student. Moreover, time course analyses suggested that such INS could mark the quality of the teaching outcome at an early stage of the teaching process. These results provided key neural evidence for the Prediction‐Transmission hypothesis about teaching, and suggested that the INS plays an important role in the successful teaching. |
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AbstractList | The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about teaching have proposed that before any teaching takes place, the teacher will predict the knowledge state of the student(s) to enhance the teaching outcome, this theoretical Prediction‐Transmission hypothesis has not been tested with any neuroimaging studies. Using functional near‐infrared spectroscopy‐based hyperscanning, this study measured brain activities of the teacher–student pairs simultaneously. Results showed that better teaching outcome was associated with higher time‐lagged interpersonal neural synchronization (INS) between right temporal‐parietal junction (TPJ) of the teacher and anterior superior temporal cortex (aSTC) of the student, when the teacher's brain activity preceded that of the student. Moreover, time course analyses suggested that such INS could mark the quality of the teaching outcome at an early stage of the teaching process. These results provided key neural evidence for the Prediction‐Transmission hypothesis about teaching, and suggested that the INS plays an important role in the successful teaching. The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about teaching have proposed that before any teaching takes place, the teacher will predict the knowledge state of the student(s) to enhance the teaching outcome, this theoretical Prediction-Transmission hypothesis has not been tested with any neuroimaging studies. Using functional near-infrared spectroscopy-based hyperscanning, this study measured brain activities of the teacher-student pairs simultaneously. Results showed that better teaching outcome was associated with higher time-lagged interpersonal neural synchronization (INS) between right temporal-parietal junction (TPJ) of the teacher and anterior superior temporal cortex (aSTC) of the student, when the teacher's brain activity preceded that of the student. Moreover, time course analyses suggested that such INS could mark the quality of the teaching outcome at an early stage of the teaching process. These results provided key neural evidence for the Prediction-Transmission hypothesis about teaching, and suggested that the INS plays an important role in the successful teaching.The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about teaching have proposed that before any teaching takes place, the teacher will predict the knowledge state of the student(s) to enhance the teaching outcome, this theoretical Prediction-Transmission hypothesis has not been tested with any neuroimaging studies. Using functional near-infrared spectroscopy-based hyperscanning, this study measured brain activities of the teacher-student pairs simultaneously. Results showed that better teaching outcome was associated with higher time-lagged interpersonal neural synchronization (INS) between right temporal-parietal junction (TPJ) of the teacher and anterior superior temporal cortex (aSTC) of the student, when the teacher's brain activity preceded that of the student. Moreover, time course analyses suggested that such INS could mark the quality of the teaching outcome at an early stage of the teaching process. These results provided key neural evidence for the Prediction-Transmission hypothesis about teaching, and suggested that the INS plays an important role in the successful teaching. |
Author | Liu, Li Guo, Taomei Long, Yuhang Zhao, Hui Zheng, Lifen Han, Zaizhu Chen, Chuansheng Ding, Guosheng Bai, Xialu Zhang, Zhanjun Chen, Baoguo Liu, Wenda Lu, Chunming |
AuthorAffiliation | 3 Beijing Key Laboratory of Applied Experimental Psychology, School of Psychology Beijing Normal University Beijing 100875 China 1 State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China 2 Department of Psychology and Social Behavior University of California Irvine California 92697 4 IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing 100875 China |
AuthorAffiliation_xml | – name: 1 State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China – name: 2 Department of Psychology and Social Behavior University of California Irvine California 92697 – name: 4 IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing 100875 China – name: 3 Beijing Key Laboratory of Applied Experimental Psychology, School of Psychology Beijing Normal University Beijing 100875 China |
Author_xml | – sequence: 1 givenname: Lifen surname: Zheng fullname: Zheng, Lifen organization: Beijing Normal University – sequence: 2 givenname: Chuansheng surname: Chen fullname: Chen, Chuansheng organization: University of California – sequence: 3 givenname: Wenda surname: Liu fullname: Liu, Wenda organization: Beijing Normal University – sequence: 4 givenname: Yuhang surname: Long fullname: Long, Yuhang organization: Beijing Normal University – sequence: 5 givenname: Hui surname: Zhao fullname: Zhao, Hui organization: Beijing Normal University – sequence: 6 givenname: Xialu surname: Bai fullname: Bai, Xialu organization: Beijing Normal University – sequence: 7 givenname: Zhanjun surname: Zhang fullname: Zhang, Zhanjun organization: Beijing Normal University – sequence: 8 givenname: Zaizhu surname: Han fullname: Han, Zaizhu organization: Beijing Normal University – sequence: 9 givenname: Li surname: Liu fullname: Liu, Li organization: Beijing Normal University – sequence: 10 givenname: Taomei surname: Guo fullname: Guo, Taomei organization: Beijing Normal University – sequence: 11 givenname: Baoguo surname: Chen fullname: Chen, Baoguo organization: Beijing Normal University – sequence: 12 givenname: Guosheng orcidid: 0000-0002-0065-6398 surname: Ding fullname: Ding, Guosheng organization: Beijing Normal University – sequence: 13 givenname: Chunming orcidid: 0000-0002-0040-0587 surname: Lu fullname: Lu, Chunming email: luchunming@bnu.edu.cn organization: IDG/McGovern Institute for Brain Research, Beijing Normal University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29575392$$D View this record in MEDLINE/PubMed |
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Keywords | prediction teaching functional near-infrared spectroscopy hyperscanning interpersonal neural synchronization |
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Notes | Funding information National Natural Science Foundation of China, Grant/Award Numbers: 31622030, 31411130158; Fundamental Research Funds for the Central Universities, Grant/Award Numbers: 2017EYT32, 2017XTCX04; Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning, Grant/Award Numbers: CNLYB1605, CNLZD1604 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Funding information National Natural Science Foundation of China, Grant/Award Numbers: 31622030, 31411130158; Fundamental Research Funds for the Central Universities, Grant/Award Numbers: 2017EYT32, 2017XTCX04; Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning, Grant/Award Numbers: CNLYB1605, CNLZD1604 |
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Snippet | The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about teaching have proposed that before any teaching takes... |
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SubjectTerms | Adult Brain Cerebral Cortex - physiology Educational Personnel Female functional near‐infrared spectroscopy Functional Neuroimaging - methods Humans hyperscanning Hypotheses Infrared spectroscopy interpersonal neural synchronization Interpersonal Relations Male Mathematical Concepts Medical imaging Neuroimaging Neurology prediction Problem Solving - physiology Spectroscopy, Near-Infrared - methods Students Synchronization Teachers Teaching Temporal lobe Time Factors Time synchronization Young Adult |
Title | Enhancement of teaching outcome through neural prediction of the students' knowledge state |
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