Assessment rubrics: towards clearer and more replicable design, research and practice
Open accessAbstract
‘Rubric’ is a term with a variety of meanings. As the use of rubrics has increased both in research and practice, the term has come to represent divergent practices. These range from secret scoring sheets held by teachers to holistic student-developed articulations of quality. Rubrics are evaluated, mandated, embraced and resisted based on often imprecise and inconsistent understandings of the term. This paper provides a synthesis of the diversity of rubrics, and a framework for researchers and practitioners to be clearer about what they mean when they say ‘rubric’. Fourteen design elements or decision points are identified that make one rubric different from another. This framework subsumes previous attempts to categorise rubrics, and should provide more precision to rubric discussions and debate, as well as supporting more replicable research and practice.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
There is extensive diversity of rubric practices, some of which may better support the development of evaluative judgement than others.
“There is extensive diversity of rubric practices (Dawson 2015), some of which may better support the development of evaluative judgement (e.g. formative use (Panadero and Jonsson 2013)) than others.”
From Developing evaluative judgement: enabling students to make decisions about the quality of work (2018) · cites this paper as Dawson 2015
Cites
Formative assessment and the design of instructional systems
Sadler, D. R. (1989) · Instructional Science · doi:10.1007/bf00117714 · Cited by 4,285 · see citing works
Stool form scale as a useful guide to intestinal transit time
Lewis, S. J., & Heaton, K. W. (1997) · Scandinavian Journal of Gastroenterology · doi:10.3109/00365529709011203 · Cited by 3,244 · see citing works
Pawson, R. (2006) · doi:10.4135/9781849209120 · Cited by 1,791 · see citing works
The use of scoring rubrics: Reliability, validity and educational consequences
Jonsson, A., & Svingby, G. (2007) · Educational Research Review · doi:10.1016/j.edurev.2007.05.002 · Cited by 1,509 · see citing works
A review of rubric use in higher education
Reddy, Y. M., & Andrade, H. (2010) · Assessment & Evaluation in Higher Education · doi:10.1080/02602930902862859 · Cited by 917 · see citing works
Facts Are More Important Than Novelty: Replication in the Education Sciences
Makel, M. C., & Plucker, J. A. (2014) · Educational Researcher · doi:10.3102/0013189x14545513 · Cited by 609 · cited 1× · see citing works
“Compared to other disciplines, educational researchers publish few replication studies (Makel and Plucker 2014).”
BackgroundSustainable assessment revisited
Boud, D., & Soler, R. (2016) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2015.1018133 · Cited by 576 · see citing works
Transforming holistic assessment and grading into a vehicle for complex learning
Sadler, D. R. (2009) · Assessment, Learning and Judgement in Higher Education · doi:10.1007/978-1-4020-8905-3_4 · Cited by 162 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Developing evaluative judgement: enabling students to make decisions about the quality of work
Tai, J., Ajjawi, R., Boud, D., Dawson, P., & Panadero, E. (2018) · Higher Education · doi:10.1007/s10734-017-0220-3 · Cited by 810 · see citing works
Self-citationAppropriate criteria: key to effective rubrics
Brookhart, S. M. (2018) · Frontiers in Education · doi:10.3389/feduc.2018.00022 · Cited by 243 · see citing works
A critical review of the arguments against the use of rubrics
Panadero, E., & Jonsson, A. (2020) · Educational Research Review · doi:10.1016/j.edurev.2020.100329 · Cited by 191 · see citing works
Khojasteh, L., Kafipour, R., Pakdel, F., & Mukundan, J. (2025) · BMC Medical Education · doi:10.1186/s12909-025-06753-3 · Cited by 24 · see citing works
Hempel, B., Kiehlbaugh, K., & Blowers, P. (2020) · Education for Chemical Engineers · doi:10.1016/j.ece.2020.07.004 · Cited by 25 · see citing works
Training to increase student perceptions of fairness in peer assessment
H. Stonewall, J., C. Dorneich, M., & Rongerude, J. (2024) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2024.2327858 · Cited by 6 · see citing works
- Authors
- Dawson, P.
- Affiliations
- Deakin University (AU)
- Corresponding author
- Dawson, Phillip
- ORCID
- Dawson, Phillip
- Venue
- Assessment & Evaluation in Higher Education
- Publisher
- Informa UK Limited
- Published
- 2015-11-12
- Volume
- 42
- Issue
- 3
- Pages
- 347-360
- ISSN
- 0260-2938 (ISSN-L)
- 1469-297X
- OpenAlex
- W2159724561
- Cited by
- 368
- References
- 8
- Citations by year
- 2026: 51 · 2025: 30 · 2024: 39 · 2023: 51 · 2022: 45 · 2021: 40 · 2020: 39 · 2019: 29 · 2018: 23 · 2017: 13 · 2016: 6 · 2014: 1 · 2013: 1
- FWCI
- 64.39
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Assessment & Evaluation in Higher Education (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Education › Educational Assessment and Pedagogy
- Social Sciences › Education › Evaluation of Teaching Practices
- Keywords
- assessment rubrics, rubric development, assessment design, replicability, higher education assessment, holistic assessment
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