Student-involved data use: Establishing the evidence base
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While considerable attention has been paid to the use of data by school leaders and teachers, less attention has been paid to data use by policy-makers and by students.
“While considerable attention has been paid to the use of data by school leaders and teachers, less attention has been paid to data use by policy-makers and by students.”
From Data-based decision-making for school improvement: Research insights and gaps (2019) · cites this paper as Jimerson and Reames 2015
Cites
Hattie, J., & Timperley, H. (2007) · Review of Educational Research · doi:10.3102/003465430298487 · Cited by 12,905 · see citing works
Assessment and Classroom Learning
Black, P., & Wiliam, D. (1998) · Assessment in Education: Principles, Policy & Practice · doi:10.1080/0969595980050102 · Cited by 8,152 · cited 7× · see citing works
“research on the power of formative assessment practices (Black and Wiliam 1998; Cauley and McMillan 2010; Clymer and Wiliam 2007; Halverson 2010; Hattie and Timperley 2007; Heritage 2007; Shute 2008; Stiggins 2005).”
BackgroundMethodInfluentialShute, V. J. (2008) · Review of Educational Research · doi:10.3102/0034654307313795 · Cited by 4,631 · see citing works
What is assessment for learning
Wiliam, D. (2011) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2011.03.001 · Cited by 1,282 · see citing works
Below the Bubble: “Educational Triage” and the Texas Accountability System
Booher-Jennings, J. (2005) · American Educational Research Journal · doi:10.3102/00028312042002231 · Cited by 762 · see citing works
Kerr, K. A., Marsh, J. A., Ikemoto, G. S., Darilek, H., & Barney, H. (2006) · American Journal of Education · doi:10.1086/505057 · Cited by 341 · see citing works
Ikemoto, G. S., & Marsh, J. A. (2007) · Yearbook of the National Society for the Study of Education · doi:10.1111/j.1744-7984.2007.00099.x · Cited by 244 · see citing works
Park, V., & Datnow, A. (2009) · School Leadership & Management · doi:10.1080/13632430903162541 · Cited by 199 · cited 4× · see citing works
“The field has done a thorough job of examining systemic and central officelevel issues related to effective data use (Coburn et al. 2009; Park and Datnow 2009; Marsh 2012; Wahlstrom et al. 2010; Wayman and Jimerson 2014).”
BackgroundMethodInfluentialMarsh, J. A., Sloan McCombs, J., & Martorell, F. (2010) · Educational Policy · doi:10.1177/0895904809341467 · Cited by 181 · see citing works
Student Involvement and Data-Driven Decision Making: Developing a New Typology
Kennedy, B. L., & Datnow, A. (2011) · Youth & Society · doi:10.1177/0044118x10388219 · Cited by 37 · see citing works
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Data-based decision-making for school improvement: Research insights and gaps
Schildkamp, K. (2019) · Educational Research · doi:10.1080/00131881.2019.1625716 · Cited by 347 · see citing works
- Authors
- Jimerson, J. B., & Reames, E.
- Affiliations
- Texas Christian University (US)
- Auburn University (US)
- Corresponding author
- Jimerson, Jo Beth
- Venue
- Journal of Educational Change
- Published
- 2015-04-14
- Volume
- 16
- Issue
- 3
- Pages
- 281-304
- ISSN
- 1389-2843 (ISSN-L)
- 1573-1812
- OpenAlex
- W2065259284
- Cited by
- 23
- References
- 10
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2022: 4 · 2021: 4 · 2020: 3 · 2019: 3 · 2018: 1 · 2016: 3
- FWCI
- 2.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Educational Change (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- student self-assessment, Malcolm Baldrige National Quality Award, PDSA cycle, reflective practice, data-driven instruction, evidence base, educational outcomes
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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