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移动神经成像技术在教育神经科学中的机遇与局限

Opportunities and Limitations of Mobile Neuroimaging Technologies in Educational Neuroscience.

作者信息

Janssen Tieme W P, Grammer Jennie K, Bleichner Martin G, Bulgarelli Chiara, Davidesco Ido, Dikker Suzanne, Jasińska Kaja K, Siugzdaite Roma, Vassena Eliana, Vatakis Argiro, Zion-Golumbic Elana, van Atteveldt Nienke

机构信息

Department of Clinical, Neuro- & Developmental Psychology, Vrije Universiteit.

Graduate School of Education and Information Studies, University of California Los Angeles.

出版信息

Mind Brain Educ. 2021 Nov;15(4):354-370. doi: 10.1111/mbe.12302. Epub 2021 Oct 5.

Abstract

As the field of educational neuroscience continues to grow, questions have emerged regarding the ecological validity and applicability of this research to educational practice. Recent advances in mobile neuroimaging technologies have made it possible to conduct neuroscientific studies directly in naturalistic learning environments. We propose that embedding mobile neuroimaging research in a cycle (Matusz, Dikker, Huth, & Perrodin, 2019), involving lab-based, seminaturalistic, and fully naturalistic experiments, is well suited for addressing educational questions. With this review, we take a cautious approach, by discussing the valuable insights that can be gained from mobile neuroimaging technology, including electroencephalography and functional near-infrared spectroscopy, as well as the challenges posed by bringing neuroscientific methods into the classroom. Research paradigms used alongside mobile neuroimaging technology vary considerably. To illustrate this point, studies are discussed with increasingly naturalistic designs. We conclude with several ethical considerations that should be taken into account in this unique area of research.

摘要

随着教育神经科学领域的不断发展,关于该研究对教育实践的生态效度和适用性的问题也随之出现。移动神经成像技术的最新进展使得在自然主义学习环境中直接进行神经科学研究成为可能。我们建议将移动神经成像研究嵌入一个循环中(马图斯、迪克尔、胡斯和佩罗丁,2019年),该循环涉及基于实验室的、半自然主义的和完全自然主义的实验,非常适合解决教育问题。在这篇综述中,我们采取谨慎的方法,讨论从移动神经成像技术(包括脑电图和功能性近红外光谱)中可以获得的宝贵见解,以及将神经科学方法引入课堂所带来的挑战。与移动神经成像技术一起使用的研究范式差异很大。为了说明这一点,我们将讨论设计越来越自然主义的研究。我们最后提出了在这一独特研究领域应考虑的几个伦理问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/9292610/fbb3c7838b33/MBE-15-354-g002.jpg

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