Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 481

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

A learning progression for scientific argumentation: Understanding student work and designing supportive instructional contexts

Berland, Leema K., McNeill, Katherine L.·2010·Science Education

Abstract

Argumentation is a central goal of science education because it engages students in a complex scientific practice in which they construct and justify knowledge claims. Although there is a growing body of research around argumentation, there has been little focus on developing a learning progression for this practice. We describe a learning progression to understand both students' work in scientific argumentation and the ways in which the instructional environment can support students in that practice. This learning progression describes three dimensions: (1) instructional context, (2) argumentative product, and (3) argumentative process. In this paper, we compare four examples from elementary, middle, and high school science classrooms to explore the ways in which students' arguments vary in complexity across grade level and instructional contexts. Our comparisons suggest that simplifying the instructional context may facilitate students in engaging in other aspects of argumentation in more complex ways. The instructional context may also be used as a tool to support students in argumentation in new content areas and to increase the complexity of their written arguments, which may be weaker than their oral arguments. Furthermore, classroom norms play an important role in supporting students of all ages, including elementary students, in argumentation. © 2010 Wiley Periodicals, Inc. Sci Ed 94:765–793, 2010

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/sce.20402

Cites

69 of 69 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 69 references

Cited by

See all 481

Metadata

Authors
Berland, L. K., & McNeill, K. L.
Venue
Science Education
Publisher
Wiley
Published
2010-05-04
Volume
94
Issue
5
Pages
765-793
ISSN
  • 0036-8326 (ISSN-L)
  • 1098-237X
OpenAlex
W2145155142
Cited by
481
References
69
FWCI
83.39
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 learning progression for scientific argumentation: Understanding student work and designing supportive instructional contexts. https://app.cochat.ai/papers/10.1002/sce.20402
The paper
Berland, L. K., & McNeill, K. L. (2010). A learning progression for scientific argumentation: Understanding student work and designing supportive instructional contexts. Science Education. https://doi.org/10.1002/sce.20402

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.