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Building bridges between neuroscience, cognition and education with predictive modeling

Journal Article · · Mind, Brain, and Education
DOI:https://doi.org/10.1111/mbe.12076· OSTI ID:1329574
 [1];  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Feynman Center for Innovation
  2. Univ. of Texas, Arlington, TX (United States). Dept. of Curriculum & Instruction, Southwest Center for Mind, Brain & Education

As the field of Mind, Brain, and Education seeks new ways to credibly bridge the gap between neuroscience, the cognitive sciences, and education, various connections are being developed and tested. In this article, we present a framework and offers examples of one approach, predictive modeling within a virtual educational system that can include representations from the neural level to the policy level. Researchers could calibrate, test, and question the model, potentially providing quicker, more efficient, and more responsible ways of making advances in the developing educational field. Likewise, virtual investigations using models with this sort of capability can supplement the valuable information derived from carrying out policy and instructional experiments in real educational contexts.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1329574
Report Number(s):
LA-UR--15-21302
Journal Information:
Mind, Brain, and Education, Journal Name: Mind, Brain, and Education Journal Issue: 2 Vol. 9; ISSN 1751-2271
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English

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