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Cited by 294

The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.

Computer-mediated glosses in second language reading comprehension and vocabulary learning: A meta-analysis

Abraham, Lee B.·2008·Computer Assisted Language Learning
DOI 10.1080/09588220802090246
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Abstract

Language learners have unprecedented opportunities for developing second language literacy skills and intercultural understanding by reading authentic texts on the Internet and in multimedia computer-assisted language learning environments. This article presents findings from a meta-analysis of 11 studies of computer-mediated glosses in second language reading comprehension and incidental vocabulary learning. Computer-mediated glosses had an overall medium effect on second language reading comprehension and a large effect on incidental vocabulary learning. Mean effect sizes varied from medium to large depending upon the level of instruction, text type, and assessment tasks. Drawing upon findings of this meta-analysis and the overall characteristics of gloss studies, we propose recommendations for future research, including replications and the systematic study of reading variables and learner individual differences in multimedia learning environments with authentic texts.

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Cites

Show all 132 references

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Metadata

Authors
Abraham, L. B.
Venue
Computer Assisted Language Learning
Publisher
Informa UK Limited
Published
2008-05-29
Volume
21
Issue
3
Pages
199-226
ISSN
  • 0958-8221 (ISSN-L)
  • 1744-3210
DOI
10.1080/09588220802090246
OpenAlex
W2153093261
Cited by
294
References
132
FWCI
2.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Computer-mediated glosses in second language reading comprehension and vocabulary learning: A meta-analysis. https://app.cochat.ai/papers/10.1080/09588220802090246
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Abraham, L. B. (2008). Computer-mediated glosses in second language reading comprehension and vocabulary learning: A meta-analysis. Computer Assisted Language Learning. https://doi.org/10.1080/09588220802090246

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