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Cited by 284

The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.

From Everyday to Scientific Observation: How Children Learn to Observe the Biologist’s World

Eberbach, Catherine, Crowley, Kevin·2009·Review of Educational Research

Abstract

This article explores the development of observation in scientific and everyday contexts. Fundamental to all scientific activity, expert observation is a complex practice that requires the coordination of disciplinary knowledge, theory, and habits of attention. On the surface, observation appears to be a simple skill. Consequently, children may be directed to observe, compare, and describe phenomena without adequate disciplinary context or support, and so fail to gain deeper scientific understanding. Drawing upon a review of science education, developmental psychology, and the science studies literatures, this article examines what it means to observe within a disciplinary framework. In addition, everyday observers are characterized and a framework is proposed that hypothesizes how everyday observers could develop practices that are more like scientific observers.

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Metadata

Authors
Eberbach, C., & Crowley, K.
Venue
Review of Educational Research
Published
2009-03
Volume
79
Issue
1
Pages
39-68
ISSN
  • 0034-6543 (ISSN-L)
  • 1935-1046
OpenAlex
W2155900818
Cited by
284
References
133
FWCI
39.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: From Everyday to Scientific Observation: How Children Learn to Observe the Biologist’s World. https://app.cochat.ai/papers/10.3102/0034654308325899
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Eberbach, C., & Crowley, K. (2009). From Everyday to Scientific Observation: How Children Learn to Observe the Biologist’s World. Review of Educational Research. https://doi.org/10.3102/0034654308325899

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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.