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Evaluating Teacher Evaluation
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Popular modes of evaluating teachers are fraught with inaccuracies and inconsistencies, but the field has identified better approaches.
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“The way preservice teachers plan, teach, differentiate, assess, and reflect are significant predictors of their later teaching effectiveness as measured by their students' achievement gains (Darling-Hammond et al., 2012).”
From Relating preservice teacher's bilingual teaching self‐efficacy to lesson differentiation practices for multilingual learners (2025) · cites this paper as Darling-Hammond et al., 2012
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Metadata
- Authors
- Darling-Hammond, L., Amrein-Beardsley, A., Haertel, E., & Rothstein, J.
- Affiliations
- Stanford University (US)
- University of California, Berkeley (US)
- ORCID
- Rothstein, Jesse
- Venue
- Phi Delta Kappan
- Publisher
- SAGE Publications
- Published
- 2012-03
- Volume
- 93
- Issue
- 6
- Pages
- 8-15
- ISSN
- 0031-7217 (ISSN-L)
- 1940-6487
- OpenAlex
- W334502450
- Cited by
- 402
- References
- 8
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 18 · 2023: 16 · 2022: 22 · 2021: 30 · 2020: 27 · 2019: 39 · 2018: 34 · 2017: 32 · 2016: 57 · 2015: 41 · 2014: 36 · 2013: 28 · 2012: 4
- FWCI
- 169.45
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Locations
- Phi Delta Kappan (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- ScholarWorks - GVSU (Grand Valley State University) (submittedVersion)
- Colleagues
- Funders
- U.S. Department of Education
- Northern Arizona University
- Topics
- Social Sciences › Education › Evaluation of Teaching Practices
- Social Sciences › Education › Teacher Education and Assessments
- Social Sciences › Education › School Choice and Performance
- Keywords
- teacher evaluation, teacher assessment, assessment accuracy, assessment consistency
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.
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