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Cited by 269

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What’s at Stake in High-Stakes Testing: Teachers and Parents Speak Out

Barksdale-Ladd, Mary Alice, Thomas, Karen F.·2000·Journal of Teacher Education

Abstract

This article reports findings from interviews with 59 teachers and 20 parents in two large states. Both have standards, attendant benchmarks, and standardized tests to assess students on the standards. Interview protocols from teachers and parents rendered data informing us about (a) teacher and parent knowledge of state standards and testing; (b) teacher test administration and student preparation practices; (c) effects of tests on teachers, parents, and students; (d) how teachers make instructional decisions based on these tests; and (e) the value of such tests. Teachers and parents were unanimous about (a) the intense stress on all involved, (b) the undermining of meaningful instruction and learning, and (c) the high stakes involved. Differences existed between teachers and parents in the two states. Implications address the need for stakeholders in children’s education to make known the deleterious effects of state testing to those in charge of state-mandated testing.

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Metadata

Authors
Barksdale-Ladd, M. A., & Thomas, K. F.
Venue
Journal of Teacher Education
Published
2000-11
Volume
51
Issue
5
Pages
384-397
ISSN
  • 0022-4871 (ISSN-L)
  • 1552-7816
OpenAlex
W2149624684
Cited by
269
References
0
FWCI
14.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What’s at Stake in High-Stakes Testing: Teachers and Parents Speak Out. https://app.cochat.ai/papers/10.1177/0022487100051005006
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Barksdale-Ladd, M. A., & Thomas, K. F. (2000). What’s at Stake in High-Stakes Testing: Teachers and Parents Speak Out. Journal of Teacher Education. https://doi.org/10.1177/0022487100051005006

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.