Transfer from spatial education to verbal reasoning and prediction of transfer from learning-related neural change

被引:11
|
作者
Cortes, Robert A. [1 ]
Peterson, Emily G. [2 ]
Kraemer, David J. M. [3 ]
Kolvoord, Robert A. [4 ]
Uttal, David H. [5 ]
Dinh, Nhi [1 ,6 ]
Weinberger, Adam B. [1 ,7 ]
Daker, Richard J. [1 ]
Lyons, Ian M. [1 ]
Goldman, Daniel [1 ]
Green, Adam E. [1 ,8 ]
机构
[1] Georgetown Univ, Dept Psychol, Washington, DC 20057 USA
[2] Amer Univ, Sch Educ, Washington, DC 20016 USA
[3] Dartmouth Coll, Dept Psychol & Brain Sci, Hanover, NH 03755 USA
[4] James Madison Univ, Coll Integrated Sci & Engn, Harrisonburg, VA 22807 USA
[5] Northwestern Univ, Dept Psychol, Evanston, IL USA
[6] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Baltimore, MD USA
[7] Univ Penn, Penn Ctr Neuroaesthet, Philadelphia, PA 19104 USA
[8] Georgetown Univ, Interdisciplinary Program Neurosci, Washington, DC 20057 USA
关键词
MENTAL ROTATION; WORKING-MEMORY; INTRAPARIETAL SULCUS; METAANALYSIS; MODELS; FIGURES; ROBUST; FMRI; OPTIMIZATION; REGISTRATION;
D O I
10.1126/sciadv.abo3555
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. Long-standing 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.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] From Online Learning to Clinical Practice: An Investigation on the Factors Influencing Training Transfer Among Physicians
    Schettino, Giovanni
    Capone, Vincenza
    HEALTHCARE, 2025, 13 (02)
  • [32] Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation
    Lochner, Stephan
    Honerkamp, Daniel
    Valada, Abhinav
    Straw, Andrew D.
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2024, 18
  • [33] Multiple Kernel Learning with Maximum Inundation Extent from MODIS Imagery for Spatial Prediction of Flood Susceptibility
    Hu, Qiang
    Zhu, Yuelong
    Hu, Hexuan
    Guan, Zhuang
    Qian, Zeyu
    Yang, Aiming
    WATER RESOURCES MANAGEMENT, 2022, 36 (01) : 55 - 73
  • [34] Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data
    Yadav, Shashank
    Zhou, Shu
    He, Bing
    Du, Yuheng
    Garmire, Lana X.
    COMMUNICATIONS MEDICINE, 2023, 3 (01):
  • [35] From INSET to professional learning: 50 years of change as seen through the pages of Professional Development in Education
    Jones, Ken
    O'Brien, Jim
    PROFESSIONAL DEVELOPMENT IN EDUCATION, 2024, 50 (01) : 1 - 10
  • [36] POINT-CLOUD NEURAL NETWORK USING TRANSFER LEARNING-BASED MULTI-FIDELITY METHOD FOR THERMAL FIELD PREDICTION IN ADDITIVE MANUFACTURING
    Huang, Xufeng
    Hu, Zhen
    Xie, Tingli
    Wang, Zhuo
    Chen, Lei
    Zhou, Qi
    PROCEEDINGS OF ASME 2021 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2021, VOL 3A, 2021,
  • [37] Lost in transition - Learning analytics on the transfer from knowledge acquisition to knowledge application in complex problem solving
    Nicolay, Bjorn
    Krieger, Florian
    Stadler, Matthias
    Gobert, Janice
    Greiff, Samuel
    COMPUTERS IN HUMAN BEHAVIOR, 2021, 115
  • [38] Transfer Learning Method from Parameter Scene to Physical Scene Based on Self-Game Theory
    Zhang, Nan
    Yang, Guolai
    Su, Bo
    Song, Weilong
    ELECTRONICS, 2024, 13 (07)
  • [39] Long-term exposure to high altitude attenuates verbal and spatial working memory: Evidence from an event-related potential study
    Ma, Hailin
    Zhang, Delong
    Li, Xuebing
    Ma, Huifang
    Wang, Niannian
    Wang, Yan
    BRAIN AND BEHAVIOR, 2019, 9 (04):
  • [40] Differential influences of negative emotion on spatial and verbal working memory: evidence from event-related potential and source current density analysis
    Li, Xuebing
    Li, Xinying
    Luo, Yue-Jia
    NEUROREPORT, 2006, 17 (14) : 1555 - 1559