The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Assessment to improve learning in higher education: The BEAR Assessment System
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.
Integrity signals
Registry
Cites
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.
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
A social-cognitive approach to motivation and personality.
Dweck, C. S., & Leggett, E. L. (1988) · Psychological Review · doi:10.1037/0033-295x.95.2.256 · Cited by 9,745
Bruner, J. (1996) · doi:10.4159/9780674251083 · Cited by 6,231
Inside the Black Box: Raising Standards through Classroom Assessment
Black, P., & Wiliam, D. (2010) · Phi Delta Kappan · doi:10.1177/003172171009200119 · Cited by 4,231
From principles to practice: An embedded assessment system
Wilson, M., & Sloane, K. (2000) · Applied Measurement in Education · doi:10.1207/s15324818ame1302_4 · Cited by 333
Self-citation
Cited by
Measuring progressions: Assessment structures underlying a learning progression
Wilson, M. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20318 · Cited by 329
Self-citation
Metadata
- Authors
- Wilson, M., & Scalise, K.
- Venue
- Higher Education
- Published
- 2006-12
- Volume
- 52
- Issue
- 4
- Pages
- 635-663
- ISSN
- 0018-1560 (ISSN-L)
- 1573-174X
- OpenAlex
- W2021029393
- Cited by
- 185
- References
- 4
- FWCI
- 16.01
- 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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Assessment to improve learning in higher education: The BEAR Assessment System. https://app.cochat.ai/papers/10.1007/s10734-004-7263-y
- The paper
- Wilson, M., & Scalise, K. (2006). Assessment to improve learning in higher education: The BEAR Assessment System. Higher Education. https://doi.org/10.1007/s10734-004-7263-y
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.