Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 236

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A modeling approach to teaching evolutionary biology in high schools*

Passmore, Cynthia, Stewart, Jim·2002·Journal of Research in Science Teaching

Abstract

There are numerous empirical reports in the science education literature documenting the difficulty students have in understanding evolution, in particular natural selection. Unfortunately, because of the nature of empirical reports, much detail about the instruction that students in these studies received is seldom provided. In this article we describe the commitments and research that went into the design of a 9‐week high school course in evolutionary biology. This course was designed to bring students to an understanding of the practice of evolutionary biology by engaging them in developing, elaborating, and using one of the discipline's most important explanatory models—Darwin's model of natural selection. This article is not an empirical report on student understanding but is instead a description of our view of what constitutes understanding in evolution and of a curriculum designed from this perspective. Examples of student work are used to add richness to the description of the course as well as to illustrate the potential for sophisticated reasoning that exists when students are given the opportunity and conceptual tools to engage in realistic inquiry. © 2002 Wiley Periodicals, Inc. J Res Sci Teach 39: 185–204, 2002

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/tea.10020

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 236

Metadata

Authors
Passmore, C., & Stewart, J.
Venue
Journal of Research in Science Teaching
Publisher
Wiley
Published
2002-02-06
Volume
39
Issue
3
Pages
185-204
ISSN
  • 0022-4308 (ISSN-L)
  • 1098-2736
OpenAlex
W1964774349
Cited by
236
References
1
FWCI
28.43
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A modeling approach to teaching evolutionary biology in high schools*. https://app.cochat.ai/papers/10.1002/tea.10020
The paper
Passmore, C., & Stewart, J. (2002). A modeling approach to teaching evolutionary biology in high schools*. Journal of Research in Science Teaching. https://doi.org/10.1002/tea.10020

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.