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Cited by 363

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Blind Vision: Unlearning Racism in Teacher Education

Cochran-Smith, Marilyn·2000·Harvard Educational Review

Abstract

In this article, Marilyn Cochran-Smith uses narrative to reflect on her experience of "unlearning" racism as a teacher educator. According to Cochran-Smith, unlearning racism involves interrogating the racist assumptions that are deeply embedded in the courses and curricula that we teach, owning our often unknowing complicity in maintaining existing systems of privilege and oppression, and grappling with our own failures to produce the kinds of changes we advocate. In her narrative, Cochran-Smith describes a moment in time when issues of race and racism were brought into sharp relief for her. She does not offer explicit directions for unlearning racism. Rather, she illuminates some of the complex questions we need to wrestle with in teacher education. At the same time, she demonstrates the usefulness of narrative as a way to organize and understand experience and as an alternative to the expository stance of traditional academic discourse.

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Metadata

Authors
Cochran-Smith, M.
Venue
Harvard Educational Review
Published
2000-07-01
Volume
70
Issue
2
Pages
157-190
ISSN
  • 0017-8055 (ISSN-L)
  • 1943-5045
OpenAlex
W2149124234
Cited by
363
References
3
FWCI
48.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Blind Vision: Unlearning Racism in Teacher Education. https://app.cochat.ai/papers/10.17763/haer.70.2.e77x215054558564
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Cochran-Smith, M. (2000). Blind Vision: Unlearning Racism in Teacher Education. Harvard Educational Review. https://doi.org/10.17763/haer.70.2.e77x215054558564

Data sources

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.