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Autor/inn/enBertrand, Melanie; Marsh, Julie
TitelHow Data-Driven Reform Can Drive Deficit Thinking
QuelleIn: Phi Delta Kappan, 102 (2021) 8, S.35-39 (5 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0031-7217
DOI10.1177/00317217211013936
SchlagwörterData Analysis; Educational Policy; Accountability; Middle School Students; Outcomes of Education; Decision Making; Kindergarten; Elementary Secondary Education; Educational Change; Teacher Attitudes; Bilingualism; Disadvantaged; Students with Disabilities; Scores; Achievement Tests; Racial Bias; Power Structure; Whites; Equal Education; Educational Practices
AbstractPropelled by accountability policies, leaders have touted data-driven decision making as a means to improve K-12 student outcomes and drive equity, as teachers analyze data to change instruction. However, many data-driven decision-making reforms have failed to challenge inequity. Melanie Bertrand and Julie Marsh's study of six middle schools shows that teachers' deficit thinking about emergent bilingual students, students with disabilities, and "struggling" students contributes to this failure of data reforms. They argue that blaming these groups for test scores ultimately works to uphold systemic racism, white supremacy, and other forms of injustice, and they conclude by offering recommendations for policy and practice. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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