Tinga Angelica M, de Back Tycho T, Louwerse Max M
Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, Netherlands.
Front Neurosci. 2020 Jun 5;14:589. doi: 10.3389/fnins.2020.00589. eCollection 2020.
Although many scholars deem non-invasive measures of neurophysiology to have promise in assessing learning, these measures are currently not widely applied, neither in educational settings nor in training. How can non-invasive neurophysiology provide insight into learning and how should research on this topic move forward to ensure valid applications? The current article addresses these questions by discussing the mechanisms underlying neurophysiological changes during learning followed by a SWOT (strengths, weaknesses, opportunities, and threats) analysis of non-invasive neurophysiology in learning and training. This type of analysis can provide a structured examination of factors relevant to the current state and future of a field. The findings of the SWOT analysis indicate that the field of neurophysiology in learning and training is developing rapidly. By leveraging the opportunities of neurophysiology in learning and training (while bearing in mind weaknesses, threats, and strengths) the field can move forward in promising directions. Suggestions for opportunities for future work are provided to ensure valid and effective application of non-invasive neurophysiology in a wide range of learning and training settings.
尽管许多学者认为神经生理学的非侵入性测量方法在评估学习方面具有前景，但目前这些方法在教育环境或培训中都没有得到广泛应用。非侵入性神经生理学如何能够洞察学习情况，以及关于这一主题的研究应如何推进以确保有效应用？本文通过讨论学习过程中神经生理变化的潜在机制，接着对非侵入性神经生理学在学习和培训中的优势、劣势、机会和威胁进行分析，来回答这些问题。这种分析可以对与一个领域的当前状况和未来相关的因素进行结构化审视。SWOT分析的结果表明，学习和培训中的神经生理学领域正在迅速发展。通过利用神经生理学在学习和培训中的机会（同时牢记劣势、威胁和优势），该领域可以朝着有前景的方向发展。为未来工作的机会提供了建议，以确保非侵入性神经生理学在广泛的学习和培训环境中得到有效应用。
