Building bridges between neuroscience, cognition and education with predictive modeling [electronic resource]

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Tác giả:

Ngôn ngữ: eng

Ký hiệu phân loại: 371.334 Data processing Computer science

Thông tin xuất bản: Los Alamos, N.M. : Oak Ridge, Tenn. : Los Alamos National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2015

Mô tả vật lý: Size: p. 121-126 : , digital, PDF file.

Bộ sưu tập: Metadata

ID: 261167

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.
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