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Cited by 365

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The Cognitive Academic Language Learning Approach: A Bridge to the Mainstream

Chamot, Anna Uhl, O'Malley, J. Michael·1987·TESOL Quarterly

Abstract

The Cognitive Academic Language Learning Approach (CALLA) is designed for limited English proficient students who are being prepared to participate in mainstream content-area instruction. CALLA provides transitional instruction for upper elementary and secondary students at intermediate and advanced ESL levels. This approach furthers academic language development in English through content-area instruction in science, mathematics, and social studies. In CALLA, students are taught to use learning strategies derived from a cognitive model of learning to assist their comprehension and retention of both language skills and concepts in the content areas. This article first discusses the rationale for CALLA and the theoretical background on which the approach is based. This is followed by a description of the three components of CALLA: a curriculum correlated with mainstream content subjects, academic language development activities, and learning strategy instruction. Finally, a lesson plan model integrating these three components is briefly described.

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Metadata

Authors
Chamot, A. U., & O'Malley, J. M.
Venue
TESOL Quarterly
Publisher
JSTOR
Published
1987-06
Volume
21
Issue
2
Pages
227
ISSN
0039-8322 (ISSN-L)
OpenAlex
W2090691817
Cited by
365
References
0
FWCI
164.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Cognitive Academic Language Learning Approach: A Bridge to the Mainstream. https://app.cochat.ai/papers/10.2307/3586733
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Chamot, A. U., & O'Malley, J. M. (1987). The Cognitive Academic Language Learning Approach: A Bridge to the Mainstream. TESOL Quarterly. https://doi.org/10.2307/3586733

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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.