Cited by 60Educational Assessment and ImprovementTeacher Education and Leadership StudiesTeacher Education and Assessments

Multiple initiatives, multiple challenges: The promise and pitfalls of implementing data

Hubbard, Lea, Datnow, Amanda, Pruyn, Laura·2014·Studies in Educational Evaluation

Integrity signals

Registry

Crossref · 10.1016/j.stueduc.2013.10.003

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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  • In several DBDM studies, teachers indicated they were only using data because they felt forced to do so or felt pressured by the accountability system, and not because they believed data use to be important for improving classroom practice.

    “In several DBDM studies, teachers indicated they were only using data because they felt forced to do so or felt pressured by the accountability system (e.g., social pressure), and not because they believed data use to be important for improving classroom practice”
  • Educators were likely to use data only in subjects in which there are regular benchmark assessments for accountability purposes, such as language and mathematics.

    “A study by Hubbard et al. (2014) showed that educators were likely to use data only in subjects in which there are regular benchmark assessments for accountability purposes, such as language and mathematics.”
  • In the DBDM studies, data use was often linked to accountability and high stakes testing, and not to improvement.

    “In the DBDM studies, data use was often linked to accountability and high stakes testing, and not to improvement”

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Authors
Hubbard, L., Datnow, A., & Pruyn, L.
Affiliations
  • University of San Diego (US)
  • University of California San Diego (US)
Corresponding author
Hubbard, Lea
Venue
Studies in Educational Evaluation
Publisher
Elsevier BV
Published
2014-09
Volume
42
Pages
54-62
ISSN
0191-491X (ISSN-L)
OpenAlex
W2057568166
Cited by
60
References
40
Citations by year
2026: 3 · 2025: 1 · 2024: 5 · 2023: 2 · 2022: 9 · 2021: 6 · 2020: 7 · 2019: 5 · 2018: 6 · 2017: 8 · 2016: 3 · 2015: 4 · 2014: 1
FWCI
5.86
Type
journal article
Language
en
Update notices
erratum (2014-12-01)
Open access
closed
Locations
Studies In Educational Evaluation (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
  • Social Sciences › Education › Teacher Education and Leadership Studies
  • Social Sciences › Education › Teacher Education and Assessments
Keywords
data-driven decision making, data use in schools, educational reform, Common Core State Standards, 21st century skills, student-centered learning, primary school teachers, instructional planning, teacher motivation, school leadership capacity

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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.

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