The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Race, inequality and educational accountability: the irony of ‘No Child Left Behind’
Abstract
The No Child Left Behind Act, the major education initiative of the Bush Administration, was intended to raise educational achievement and close the racial/ethnic achievement gap. Its strategies include focusing schools’ attention on raising test scores, mandating better qualified teachers and providing educational choice. Unfortunately, the complex requirements of the law have failed to achieve these goals, and have provoked a number of unintended negative consequences which frequently harm the students the law is most intended to help. Among these consequences are a narrowed curriculum, focused on the low‐level skills generally reflected on high stakes tests; inappropriate assessment of English language learners and students with special needs; and strong incentives to exclude low‐scoring students from school, so as to achieve test score targets. In addition, the law fails to address the pressing problems of unequal educational resources across schools serving wealthy and poor children and the shortage of well‐prepared teachers in high‐need schools. A policy that would live up to the law’s name would need to address these issues and reshape the law’s requirements to enable the use of assessments and school improvement strategies that support higher‐quality teaching and learning.
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Cites
Handbook of research on multicultural education
(2004) · Choice Reviews Online · doi:10.5860/choice.41-6667 · Cited by 2,613
Teacher Quality and Student Achievement
Darling-Hammond, L. (2000) · Education Policy Analysis Archives · doi:10.14507/epaa.v8n1.2000 · Cited by 2,262
Self-citationGomes, S. S., Oakes, J., Ormseth, T., Bell, R., & Camp, P. (1991) · The Journal of Negro Education · doi:10.2307/2295617 · Cited by 814
PAYING FOR PUBLIC EDUCATION: NEW EVIDENCE ON HOW AND WHY MONEY MATTERS
Ferguson, R. L. (1991) · Cited by 775
High stakes : testing for tracking, promotion, and graduation
Heubert, J. P., & Hauser, R. M. (1999) · Cited by 713
Darling-Hammond, L., & Sykes, G. (2003) · Education Policy Analysis Archives · doi:10.14507/epaa.v11n33.2003 · Cited by 536
Self-citationThe Myth of the Texas Miracle in Education
Haney, W. (2000) · Education Policy Analysis Archives · doi:10.14507/epaa.v8n41.2000 · Cited by 482
(2004) · eScholarship (California Digital Library) · Cited by 446
High-Stakes Accountability in Urban Elementary Schools: Challenging or Reproducing Inequality?1
Diamond, J. B., & Spillane, J. P. (2004) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1111/j.1467-9620.2004.00375.x · Cited by 362
Accountability: Responsibility and Reasonable Expectations
Linn, R. L. (2003) · Educational Researcher · doi:10.3102/0013189x032007003 · Cited by 300
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Schools as Developmental Contexts During Adolescence
Eccles, J. S., & Roeser, R. W. (2011) · Journal of Research on Adolescence · doi:10.1111/j.1532-7795.2010.00725.x · Cited by 1,629
QuantCrit: education, policy, ‘Big Data’ and principles for a critical race theory of statistics
Gillborn, D., Warmington, P., & Demack, S. (2018) · Race Ethnicity and Education · doi:10.1080/13613324.2017.1377417 · Cited by 687
Au, W. (2011) · Journal of Curriculum Studies · doi:10.1080/00220272.2010.521261 · Cited by 578
Stephens, N. M., Markus, H. R., & Fryberg, S. A. (2012) · Psychological Review · doi:10.1037/a0029028 · Cited by 239
Teachers’ Sensemaking of Data and Implications for Equity
Bertrand, M., & Marsh, J. A. (2015) · American Educational Research Journal · doi:10.3102/0002831215599251 · Cited by 209
Metadata
- Authors
- Darling‐Hammond, L.
- Venue
- Race Ethnicity and Education
- Publisher
- Informa UK Limited
- Published
- 2007-09
- Volume
- 10
- Issue
- 3
- Pages
- 245-260
- ISSN
- 1361-3324 (ISSN-L)
- 1470-109X
- OpenAlex
- W2116360020
- Cited by
- 578
- References
- 28
- FWCI
- 47.86
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
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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.