The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Words as Tools: Learning Academic Vocabulary as Language Acquisition
Open accessAbstract
There is a growing awareness of the importance of academic vocabulary, and more generally, of academic language proficiency, for students’ success in school. There is also a growing body of research on the nature of the demands that academic language places on readers and writers, and on interventions to help students meet these demands. In this review, we discuss the role of academic vocabulary within academic language, examine recent research on instruction in academic vocabulary, considering both general academic words and discipline‐specific words, and offer our perspective on the current state of this research and recommendations on how to continue inquiry and to improve practice in this area. We use the metaphor of ‘words as tools’ to reflect our understanding that instruction in academic vocabulary must approach words as means for communicating and thinking about disciplinary content, and must therefore provide students with opportunities to use the instructed words for these purposes as they are learning them.
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Cites
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Jeon, E. H., & Yamashita, J. (2014) · Language Learning · doi:10.1111/lang.12034 · Cited by 484
Uccelli, P., Galloway, E. P., Barr, C. D., Meneses, A., & Dobbs, C. L. (2015) · Reading Research Quarterly · doi:10.1002/rrq.104 · Cited by 301
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Educating teachers to enact the science of learning and development
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Metadata
- Authors
- Nagy, W., & Townsend, D.
- Venue
- Reading Research Quarterly
- Publisher
- Wiley
- Published
- 2012-01
- Volume
- 47
- Issue
- 1
- Pages
- 91-108
- ISSN
- 0034-0553 (ISSN-L)
- 1936-2722
- OpenAlex
- W2102866687
- Cited by
- 829
- References
- 105
- FWCI
- 64.94
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
