Neural alignment predicts learning outcomes in students taking an introduction to computer science course.

Neural alignment predicts learning outcomes in students taking an introduction to computer science course.
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DOI:
10.1038/s41467-021-22202-3
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发表时间:
2021-03-26
影响因子:
16.6
通讯作者:
Hasson U
Hasson U
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Meshulam M;Hasenfratz L;Hillman H;Liu YF;Nguyen M;Norman KA;Hasson U

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尽管在测量人类大脑活动期间和之后的教育经验取得了重大进展,但目前还不清楚学习者如何内化新内容,特别是在现实生活和在线环境中。在这项工作中,我们引入了一种神经方法来预测和评估现实生活中的学习成果。我们的方法取决于这样一个想法,即成功的学习涉及形成正确的神经表征集,这些表征集在个体之间共享的规范活动模式中被捕获。具体来说,我们假设学习反映在神经对齐:一个人的学习者的神经表征与专家以及其他学习者的神经表征相匹配的程度。我们在一项纵向功能性MRI研究中验证了这一假设,该研究定期扫描参加计算机科学入门课程的大学生。我们还扫描了计算机科学领域的研究生专家。我们发现,学生之间的一致性成功地预测了期末考试中的整体表现。此外,在个别学生中,我们发现,对于那些唤起与专家和其他学生更好的一致性的概念,我们发现了更好的学习成果,揭示了与个体中特定学习概念相关的神经模式。学习和记忆新的信息是一个重大的挑战,为各级学生。在这里,作者表明,大脑中的“神经对齐”与现实生活中大学课程中STEM概念的学习成功相关,并预测学习结果。
Despite major advances in measuring human brain activity during and after educational experiences, it is unclear how learners internalize new content, especially in real-life and online settings. In this work, we introduce a neural approach to predicting and assessing learning outcomes in a real-life setting. Our approach hinges on the idea that successful learning involves forming the right set of neural representations, which are captured in canonical activity patterns shared across individuals. Specifically, we hypothesized that learning is mirrored in neural alignment: the degree to which an individual learner’s neural representations match those of experts, as well as those of other learners. We tested this hypothesis in a longitudinal functional MRI study that regularly scanned college students enrolled in an introduction to computer science course. We additionally scanned graduate student experts in computer science. We show that alignment among students successfully predicts overall performance in a final exam. Furthermore, within individual students, we find better learning outcomes for concepts that evoke better alignment with experts and with other students, revealing neural patterns associated with specific learned concepts in individuals. Learning and remembering new information is a major challenge for students of all levels. Here, the authors show that “neural alignment” across brains is associated with learning success of STEM concepts in a real-life college course and predicts learning outcomes.
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