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Learning Desire Is Predicted by Similar Neural Processing of Naturalistic Educational Materials

Naturalistic stimuli can elicit highly similar brain activity across viewers. How do naturalistic educational materials engage human brains and evoke learning desire? Here, we presented 15 audiovisual course clips (each lasting ∼120 s) to university students and recorded their neural activity throug...

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Autores principales: Zhu (朱怡), Yi, Pan (潘亚峰), Yafeng, Hu (胡谊), Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6776790/
https://www.ncbi.nlm.nih.gov/pubmed/31427402
http://dx.doi.org/10.1523/ENEURO.0083-19.2019
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author Zhu (朱怡), Yi
Pan (潘亚峰), Yafeng
Hu (胡谊), Yi
author_facet Zhu (朱怡), Yi
Pan (潘亚峰), Yafeng
Hu (胡谊), Yi
author_sort Zhu (朱怡), Yi
collection PubMed
description Naturalistic stimuli can elicit highly similar brain activity across viewers. How do naturalistic educational materials engage human brains and evoke learning desire? Here, we presented 15 audiovisual course clips (each lasting ∼120 s) to university students and recorded their neural activity through electroencephalography. Upon finishing all the video viewings, subjects ranked 15 courses in order of learning desire and reported the reasons for high learning desire (i.e., “value” and “interest”). The brain activity during the video viewing was measured as the neural similarity via intersubject correlation (ISC), that is, correlation between each subject’s neural responses and those of others. Based on averaged learning desire rankings across subjects, course clips were classified with high versus medium versus low motivational effectiveness. We found that the ISC of high effective course clips was larger than that of low effective ones. The ISC difference (high vs low) was positively associated with subjects’ learning desire difference (high vs low). Such an association occurred when viewing time accumulated to ∼80 s. Moreover, ISC was correlated with “interest-based” rather than “value-based” learning desire. These findings advance our understanding of learning motivation via the neural similarity in the context of on-line education and provide potential neurophysiological suggestions for pedagogical practices.
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spelling pubmed-67767902019-10-04 Learning Desire Is Predicted by Similar Neural Processing of Naturalistic Educational Materials Zhu (朱怡), Yi Pan (潘亚峰), Yafeng Hu (胡谊), Yi eNeuro New Research Naturalistic stimuli can elicit highly similar brain activity across viewers. How do naturalistic educational materials engage human brains and evoke learning desire? Here, we presented 15 audiovisual course clips (each lasting ∼120 s) to university students and recorded their neural activity through electroencephalography. Upon finishing all the video viewings, subjects ranked 15 courses in order of learning desire and reported the reasons for high learning desire (i.e., “value” and “interest”). The brain activity during the video viewing was measured as the neural similarity via intersubject correlation (ISC), that is, correlation between each subject’s neural responses and those of others. Based on averaged learning desire rankings across subjects, course clips were classified with high versus medium versus low motivational effectiveness. We found that the ISC of high effective course clips was larger than that of low effective ones. The ISC difference (high vs low) was positively associated with subjects’ learning desire difference (high vs low). Such an association occurred when viewing time accumulated to ∼80 s. Moreover, ISC was correlated with “interest-based” rather than “value-based” learning desire. These findings advance our understanding of learning motivation via the neural similarity in the context of on-line education and provide potential neurophysiological suggestions for pedagogical practices. Society for Neuroscience 2019-10-02 /pmc/articles/PMC6776790/ /pubmed/31427402 http://dx.doi.org/10.1523/ENEURO.0083-19.2019 Text en Copyright © 2019 Zhu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle New Research
Zhu (朱怡), Yi
Pan (潘亚峰), Yafeng
Hu (胡谊), Yi
Learning Desire Is Predicted by Similar Neural Processing of Naturalistic Educational Materials
title Learning Desire Is Predicted by Similar Neural Processing of Naturalistic Educational Materials
title_full Learning Desire Is Predicted by Similar Neural Processing of Naturalistic Educational Materials
title_fullStr Learning Desire Is Predicted by Similar Neural Processing of Naturalistic Educational Materials
title_full_unstemmed Learning Desire Is Predicted by Similar Neural Processing of Naturalistic Educational Materials
title_short Learning Desire Is Predicted by Similar Neural Processing of Naturalistic Educational Materials
title_sort learning desire is predicted by similar neural processing of naturalistic educational materials
topic New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6776790/
https://www.ncbi.nlm.nih.gov/pubmed/31427402
http://dx.doi.org/10.1523/ENEURO.0083-19.2019
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