The DOI matches its Crossref record; 61 of the 62 references it cites were found in a registry or an index.
The comparative effect of direct written corrective feedback and metalinguistic explanation on learners’ explicit and implicit knowledge of the English indefinite article
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“While the findings by Shintani and Ellis (2013) suggest that metalinguistic corrective feedback does not lead to greater improvement in writing than direct corrective feedback,”
From Drawing on Readerly Intuition in Sentence Level Feedback (2022) · cites this paper as Shintani & Ellis, 2013
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“students who receive direct corrective feedback may just correct the isolated errors, without fully understanding the errors (Shintani & Ellis, 2013).”
From Drawing on Readerly Intuition in Sentence Level Feedback (2022) · cites this paper as Shintani & Ellis, 2013
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“This can lead to deeper learning since students must understand the grammatical rules in order to apply them in their own writing (Shintani & Ellis, 2013).”
From Drawing on Readerly Intuition in Sentence Level Feedback (2022) · cites this paper as Shintani & Ellis, 2013
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Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Principles and Practice in Second Language Acquisition
Higgs, T. V., & Krashen, S. D. (1983) · Modern Language Journal · doi:10.2307/328293 · Cited by 5,375
Second Language Acquisition and Second Language Learning
Bernhardt, E. B., & Krashen, S. D. (1989) · Modern Language Journal · doi:10.2307/326882 · Cited by 4,605
Principles and Practice in Second Language Acquisition
Krahnke, K. J., & Krashen, S. D. (1983) · TESOL Quarterly · doi:10.2307/3586656 · Cited by 4,483
The Role of the Linguistic Environment in Second Language Acquisition
Long, M. H. (1996) · Handbook of Second Language Acquisition · doi:10.1016/b978-012589042-7/50015-3 · Cited by 3,927
(1998) · Cited by 2,572
Second language acquisition and second language learning
Sang, F. (1983) · System · doi:10.1016/0346-251x(83)90013-1 · Cited by 2,177
The Case Against Grammar Correction in L2 Writing Classes
Truscott, J. (1996) · Language Learning · doi:10.1111/j.1467-1770.1996.tb01238.x · Cited by 1,874
Cognition and Second Language Instruction
Robinson, P. J. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9781139524780 · Cited by 1,776
Research works printed but not linked: 2
- Anderson, T. (2010). The effect of tiered corrective feedback on second language academic writing. Master of Arts thesis, University of British Columbia, Vancouver. Retrieved from http://circle.ubc.ca.
- Mohamed, N. (2001). Teaching grammar through consciousness-raising tasks. Unpublished MA thesis, University of Auckland, Auckland.
Cited by
Sorted by citations
The Efficacy of Written Corrective Feedback in Improving L2 Written Accuracy: A Meta‐Analysis
Kang, E., & Han, Z. (2015) · The Modern Language Journal · doi:10.1111/modl.12189 · Cited by 385
Shintani, N., Ellis, R., & Suzuki, W. (2013) · Language Learning · doi:10.1111/lang.12029 · Cited by 260
Self-citationTwenty-five years of research on oral and written corrective feedback in System
Li, S., & Vuono, A. (2019) · System · doi:10.1016/j.system.2019.05.006 · Cited by 271
L2 student engagement with automated feedback on writing: Potential for learning and issues of trust
Ranalli, J. (2021) · Journal of Second Language Writing · doi:10.1016/j.jslw.2021.100816 · Cited by 184
Karim, K., & Nassaji, H. (2018) · Language Teaching Research · doi:10.1177/1362168818802469 · Cited by 205
Metadata
- Authors
- Shintani, N., & Ellis, R.
- Affiliations
- Nanyang Technological University (SG)
- University of Auckland (NZ)
- Corresponding author
- Shintani, Natsuko
- Venue
- Journal of Second Language Writing
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 22
- Issue
- 3
- Pages
- 286-306
- ISSN
- 1060-3743 (ISSN-L)
- OpenAlex
- W2002091368
- Cited by
- 278
- References
- 62
- Citations by year
- 2026: 14 · 2025: 17 · 2024: 19 · 2023: 35 · 2022: 31 · 2021: 29 · 2020: 26 · 2019: 31 · 2018: 19 · 2017: 21 · 2016: 16 · 2015: 12 · 2014: 7 · 2013: 1
- FWCI
- 83.67
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Journal of Second Language Writing (publishedVersion)
- eSpace (Curtin University) (submittedVersion)
- Funders
- Michigan State University
- College of Engineering, Michigan State University
- 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
- written corrective feedback, metalinguistic explanation, explicit knowledge, tacit knowledge, ESL learners, second language writing, error correction, eye tracking, self-monitoring, rule awareness
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