The DOI matches its Crossref record.
The Cognitive Academic Language Learning Approach: A Bridge to the Mainstream
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Day, E. M., & Shapson, S. M. (1991) · Language Learning · doi:10.1111/j.1467-1770.1991.tb00675.x · Cited by 213
The Cognitive Academic Language Learning Approach: A Model for Linguistically Diverse Classrooms
Chamot, A. U., & O'Malley, J. M. (1996) · The Elementary School Journal · doi:10.1086/461827 · Cited by 177
Self-citationKalinowski, E., Gronostaj, A., & Vock, M. (2019) · AERA Open · doi:10.1177/2332858419828691 · Cited by 76
Optimizing an immersion ESL curriculum using analytic hierarchy process
Tang, H.-W. V. (2011) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2011.04.002 · Cited by 17
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Cognitive Academic Language Learning Approach: A Bridge to the Mainstream. https://app.cochat.ai/papers/10.2307/3586733
- The paper
- 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
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.