Cortes Robert A, Peterson Emily G, Kraemer David J M, Kolvoord Robert A, Uttal David H, Dinh Nhi, Weinberger Adam B, Daker Richard J, Lyons Ian M, Goldman Daniel, Green Adam E
Department of Psychology, Georgetown University, DC, USA.
School of Education, American University, DC, USA.
Sci Adv. 2022 Aug 12;8(32):eabo3555. doi: 10.1126/sciadv.abo3555. Epub 2022 Aug 10.
Current debate surrounds the promise of neuroscience for education, including whether learning-related neural changes can predict learning transfer better than traditional performance-based learning assessments. Longstanding debate in philosophy and psychology concerns the proposition that spatial processes underlie seemingly nonspatial/verbal reasoning (mental model theory). If so, education that fosters spatial cognition might improve verbal reasoning. Here, in a quasi-experimental design in real-world STEM classrooms, a curriculum devised to foster spatial cognition yielded transfer to improved verbal reasoning. Further indicating a spatial basis for verbal transfer, students' spatial cognition gains predicted and mediated their reasoning improvement. Longitudinal fMRI detected learning-related changes in neural activity, connectivity, and representational similarity in spatial cognition-implicated regions. Neural changes predicted and mediated learning transfer. Ensemble modeling demonstrated better prediction of transfer from neural change than from traditional measures (tests and grades). Results support in-school "spatial education" and suggest that neural change can inform future development of transferable curricula.
当前的争论围绕着神经科学对教育的前景,包括与学习相关的神经变化是否比传统的基于表现的学习评估更能预测学习迁移。哲学和心理学中长期存在的争论涉及这样一个命题,即空间过程是看似非空间/语言推理(心理模型理论)的基础。如果是这样,培养空间认知的教育可能会提高语言推理能力。在此,在现实世界的STEM课堂的准实验设计中,一门旨在培养空间认知的课程产生了向语言推理能力提高的迁移。进一步表明语言迁移的空间基础,学生的空间认知收获预测并介导了他们的推理能力提高。纵向功能磁共振成像检测到在与空间认知相关的区域中与学习相关的神经活动、连接性和表征相似性的变化。神经变化预测并介导了学习迁移。集成模型表明,与传统测量方法(测试和成绩)相比,神经变化对迁移的预测更好。结果支持校内“空间教育”,并表明神经变化可为未来可迁移课程的开发提供参考。