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Cited by 291

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Scientific and Pragmatic Challenges for Bridging Education and Neuroscience

Varma, Sashank, McCandliss, Bruce D., Schwartz, Daniel L.·2008·Educational Researcher

Abstract

Educational neuroscience is an emerging effort to integrate neuroscience methods, particularly functional neuroimaging, with behavioral methods to address issues of learning and instruction. This article consolidates common concerns about connecting education and neuroscience. One set of concerns is scientific: in-principle differences in methods, data, theory, and philosophy. The other set of concerns is pragmatic: considerations of costs, timing, locus of control, and likely payoffs. The authors first articulate the concerns and then revisit them, reinterpreting them as potential opportunities. They also provide instances of neuroscience findings and methods that are relevant to education. The goal is to offer education researchers a window into contemporary neuroscience to prepare them to think more specifically about the prospects of educational neuroscience.

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Crossref · 10.3102/0013189x08317687

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Metadata

Authors
Varma, S., McCandliss, B. D., & Schwartz, D. L.
Venue
Educational Researcher
Published
2008-04
Volume
37
Issue
3
Pages
140-152
ISSN
  • 0013-189X (ISSN-L)
  • 1935-102X
OpenAlex
W2142894976
Cited by
291
References
9
FWCI
6.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Scientific and Pragmatic Challenges for Bridging Education and Neuroscience. https://app.cochat.ai/papers/10.3102/0013189x08317687
The paper
Varma, S., McCandliss, B. D., & Schwartz, D. L. (2008). Scientific and Pragmatic Challenges for Bridging Education and Neuroscience. Educational Researcher. https://doi.org/10.3102/0013189x08317687

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.