Fairness in Assessment
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Traditional assessments may be uniform and thus unadapted to the particular knowledge, skills, and backgrounds of participants.
“Third, they may be uniform and thus unadapted to the particular knowledge skills and backgrounds of participants.”
From Assessment in the age of artificial intelligence (2022) · cites this paper as Gipps & Stobart, 2009
Cites
Developing the theory of formative assessment
Black, P., & Wiliam, D. (2009) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-008-9068-5 · Cited by 3,301 · see citing works
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Assessment in the age of artificial intelligence
Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N., & Gašević, D. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100075 · Cited by 409 · see citing works
Rasooli, A., Zandi, H., & DeLuca, C. (2018) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2017.12.008 · Cited by 90 · see citing works
- Authors
- Gipps, C., & Stobart, G.
- Affiliations
- University of Wolverhampton (GB)
- University of London (GB)
- Corresponding author
- Gipps, Caroline
- ORCID
- Stobart, Gordon
- Venue
- Educational Assessment in the 21st Century
- Publisher
- Springer Netherlands
- Published
- 2009
- Pages
- 105-118
- OpenAlex
- W1543222853
- Cited by
- 92
- References
- 1
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 8 · 2023: 11 · 2022: 10 · 2021: 5 · 2020: 8 · 2019: 7 · 2018: 9 · 2017: 6 · 2016: 2 · 2015: 4 · 2014: 3 · 2013: 1 · 2012: 2
- FWCI
- 1.91
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Education › Educational Assessment and Pedagogy
- Social Sciences › Education › Student Assessment and Feedback
- Keywords
- assessment fairness, educational assessment, measurement bias, validity, educational equity, inclusive assessment, student assessment, teacher judgment
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.
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