The effect of different types of corrective feedback on ESL student writing
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A combination of written and conference feedback has a significant effect on accuracy levels in the use of the past simple tense and the definite article in new pieces of writing, but there is no general effect on accuracy for feedback types in single groups.
“They found”
From A comparative study of the effect of teacher’s group and individual feedback on Iranian EFL learners’ learning of speech acts in apology letter writing (2020) · cites this paper as Bitchener, Young, and Cameron (2005)
Cites
The Role of Consciousness in Second Language Learning1
SCHMIDT, R. W. (1990) · Applied Linguistics · doi:10.1093/applin/11.2.129 · Cited by 4,910 · cited 2× · see citing works
“Noticing such differences is now widely accepted in the SLA literature as crucial to uptake and long-term acquisition (Gass, 1997; Schmidt, 1990, 1994).”
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Making Sense of Assessment Feedback in Higher Education
Evans, C. (2013) · Review of Educational Research · doi:10.3102/0034654312474350 · Cited by 1,143 · see citing works
Interactions between type of instruction and type of language feature: A meta-analysis
Spada, N., & Tomita, Y. (2010) · Language Learning · doi:10.1111/j.1467-9922.2010.00562.x · Cited by 746 · see citing works
Corrective Feedback and Teacher Development
Ellis, R. (2009) · L2 Journal · doi:10.5070/l2.v1i1.9054 · Cited by 659 · see citing works
The nature of feedback: How different types of peer feedback affect writing performance
Nelson, M. M., & Schunn, C. D. (2009) · Instructional Science · doi:10.1007/s11251-008-9053-x · Cited by 602 · see citing works
Guo, K., & Wang, D. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12146-0 · Cited by 449 · see citing works
The Effectiveness of feedback for L1-English and L2-writing development: a meta-analysis.
Biber, D., Nekrasova, T., & Horn, B. (2011) · ETS Research Report Series · doi:10.1002/j.2333-8504.2011.tb02241.x · Cited by 175 · see citing works
Patchan, M. M., Schunn, C. D., & Correnti, R. J. (2016) · Journal of Educational Psychology · doi:10.1037/edu0000103 · Cited by 165 · see citing works
Exploring ChatGPT-supported teacher feedback in the EFL context
Han, J., & Li, M. (2024) · System · doi:10.1016/j.system.2024.103502 · Cited by 116 · see citing works
A mixed-methods study of feedback modes in EFL writing
Bakla, A. (2020) · Language Learning & Technology · doi:10.64152/10125/44712 · Cited by 59 · see citing works
Nemati, M., Alavi, S. M., & Mohebbi, H. (2019) · Language Testing in Asia · doi:10.1186/s40468-019-0084-9 · Cited by 25 · see citing works
Pourmousavi, Z., & Mohamadi Zenouzagh, Z. (2020) · Asian-Pacific Journal of Second and Foreign Language Education · doi:10.1186/s40862-020-00088-w · Cited by 17 · see citing works
- Authors
- Bitchener, J., Young, S., & Cameron, D.
- Affiliations
- Auckland University of Technology (NZ)
- Corresponding author
- Bitchener, John
- ORCID
- Cameron, Denise
- Venue
- Journal of Second Language Writing
- Publisher
- Elsevier BV
- Published
- 2005-09
- Volume
- 14
- Issue
- 3
- Pages
- 191-205
- ISSN
- 1060-3743 (ISSN-L)
- OpenAlex
- W2101778115
- Cited by
- 900
- References
- 1
- Citations by year
- 2026: 17 · 2025: 30 · 2024: 28 · 2023: 47 · 2022: 60 · 2021: 63 · 2020: 51 · 2019: 78 · 2018: 54 · 2017: 47 · 2016: 47 · 2015: 72 · 2014: 75 · 2013: 41 · 2012: 48
- FWCI
- 98.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Second Language Writing (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
- Social Sciences › Education › Student Assessment and Feedback
- Keywords
- corrective feedback, ESL writing, grammatical error correction, prepositions, simple past tense, definite article
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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.
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