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Cited by 406

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Biology Majors' Knowledge and Misconceptions of Natural Selection

Nehm, Ross H., Reilly, Leah·2007·BioScience

Abstract

This article reports on a study that assessed knowledge of and misconceptions about natural selection in second-semester biology majors in two classes characterized by different instructional strategies. The active-learning class achieved significant postcourse gains in the number and diversity of key concepts of natural selection employed in evolutionary explanations and exhibited significant decreases in misconception use. Compared with the traditionally taught class, the active-learning class was characterized by fewer misconceptions and greater mean key-concept diversity scores. Nevertheless, both classes demonstrated inadequate postcourse levels of evolutionary understanding: After a year of college biology, 70 percent of students in the active-learning group and 86 percent in the traditionally taught group employed one or more misconceptions in their evolutionary explanations. Faculty in upper-division courses must be prepared to address students' misconceptions and provide additional opportunities for improving student understanding of natural selection.

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Metadata

Authors
Nehm, R. H., & Reilly, L.
Venue
BioScience
Published
2007-03-01
Volume
57
Issue
3
Pages
263-272
ISSN
  • 0006-3568 (ISSN-L)
  • 1525-3244
OpenAlex
W2102497733
Cited by
406
References
17
FWCI
73.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biology Majors' Knowledge and Misconceptions of Natural Selection. https://app.cochat.ai/papers/10.1641/b570311
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Nehm, R. H., & Reilly, L. (2007). Biology Majors' Knowledge and Misconceptions of Natural Selection. BioScience. https://doi.org/10.1641/b570311

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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.