The DOI matches its Crossref record; 62 of the 63 references it cites were found in a registry or an index.
Teachers’ Use of Assessment Data to Inform Instruction: Lessons from the past and Prospects for the Future
Abstract
Background: Data use has been promoted as a panacea for instructional improvement. However, the field lacks a detailed understanding of how teachers actually use assessment data to inform instruction and the factors that shape this process. Purpose: This article provides a review of literature on teachers’ use of assessment data to inform instruction. We draw primarily on empirical studies of data use that have been published in the past decade, most of which have been conducted as data-driven decision making came into more widespread use. The article reviews research on the types of assessment data teachers use to inform instruction, how teachers analyze data, and how their instruction is impacted. Research Design: Review of research. Findings: In the current accountability context, benchmark assessment data predominate in teachers’ work with data. Although teachers are often asked to analyze data in a consistent way, agendas for data use, the nature of the assessments, and teacher beliefs all come into play, leading to variability in how they use data. Instructional changes on the basis of data often focus on struggling students, raising some equity concerns. The general absence of professional development has hampered teachers’ efforts to use data, as well as their confidence in doing so. Conclusions: Given that interim benchmark assessment data predominate in teachers’ work with data, we need to think more deeply about the content of those assessments, as well as how we can create conditions for teachers to use assessment to inform instruction. This review of research underscores the need for further research in this area, as well teacher professional development on how to translate assessment data into information that can inform instructional planning.
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Metadata
- Authors
- Datnow, A., & Hubbard, L.
- Affiliations
- University of California San Diego (US)
- ORCID
- Datnow, Amanda
- Venue
- Teachers College Record: The Voice of Scholarship in Education
- Publisher
- SAGE Publications
- Published
- 2015-04
- Volume
- 117
- Issue
- 4
- Pages
- 1-26
- ISSN
- 0040-0475 (ISSN-L)
- 0161-4681
- 1467-9620
- OpenAlex
- W2420929498
- Semantic Scholar
- e9d79828445c936b922386500f6442f9496e5478
- Cited by
- 176
- References
- 63
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 7 · 2023: 13 · 2022: 16 · 2021: 19 · 2020: 27 · 2019: 26 · 2018: 10 · 2017: 15 · 2016: 15 · 2015: 6
- FWCI
- 30.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Teachers College Record The Voice of Scholarship in Education (publishedVersion)
- Topics
- Social Sciences › Education › Educational Assessment and Improvement
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Education › Teacher Education and Assessments
- Keywords
- assessment data use, data-driven decision making, benchmark assessment, interim assessment, teacher beliefs, teacher professional development, educational accountability, instructional change, educational equity, struggling students, instructional planning
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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