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How Effectively Can EFL Students Use Automated Written Corrective Feedback (AWCF) in Research Writing?

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Title: How Effectively Can EFL Students Use Automated Written Corrective Feedback (AWCF) in Research Writing?
Language: English
Authors: Guo, Qian (ORCID 0000-0002-7645-4186), Feng, Ruiling (ORCID 0000-0002-2482-3146), Hua, Yuanfang (ORCID 0000-0001-7547-7047)
Source: Computer Assisted Language Learning. 2022 35(9):2312-2331.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 20
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning, Second Language Instruction, Writing Instruction, Teaching Methods, Writing Evaluation, Accuracy, Computer Software, Computational Linguistics, English for Academic Purposes, Research Reports, Scores, Instructional Effectiveness, Citations (References), Revision (Written Composition), Undergraduate Students, Foreign Countries, Honors Curriculum, Doctoral Students
Geographic Terms: China
DOI: 10.1080/09588221.2021.1879161
ISSN: 0958-8221
1744-3210
Abstract: AWCF can facilitate academic writing development, especially for novice writers of English as a foreign language (EFL). Existing AWCF studies mainly focus on teacher and learner perceptions; fewer have investigated the error-correction effect of AWCF and factors related to the effect. Especially lacking is research on how successfully students can use AWCF to correct errors in source-based academic writing. Meanwhile, "Grammarly," an automated writing evaluation (AWE) tool, is under-represented in AWCF studies despite its extensive use in EFL classrooms and its significant advantages. Correspondingly, we evaluated how effectively EFL students could use "Grammarly"-provided feedback for error correction in research writing and what factors were related to user responses (i.e., revision operations) and response accuracy. The results show that the error scores decreased significantly after revision and the participants correctly addressed 85% of the "Grammarly"-flagged usages. The error-correction success was impressive, considering how the technical nature of research writing might affect feedback accuracy and user responses, both related to response accuracy. In fact, feedback accuracy contributed to response accuracy both directly and indirectly (via user responses). The findings have implications for source-based academic writing instruction and AWE tool development.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1376765
Database: ERIC
FullText Text:
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  Data: How Effectively Can EFL Students Use Automated Written Corrective Feedback (AWCF) in Research Writing?
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  Data: English
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  Data: <searchLink fieldCode="AR" term="%22Guo%2C+Qian%22">Guo, Qian</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-7645-4186">0000-0002-7645-4186</externalLink>)<br /><searchLink fieldCode="AR" term="%22Feng%2C+Ruiling%22">Feng, Ruiling</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-2482-3146">0000-0002-2482-3146</externalLink>)<br /><searchLink fieldCode="AR" term="%22Hua%2C+Yuanfang%22">Hua, Yuanfang</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-7547-7047">0000-0001-7547-7047</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Computer+Assisted+Language+Learning%22"><i>Computer Assisted Language Learning</i></searchLink>. 2022 35(9):2312-2331.
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  Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
– Name: PeerReviewed
  Label: Peer Reviewed
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  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 20
– Name: DatePubCY
  Label: Publication Date
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  Data: 2022
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Error+Correction%22">Error Correction</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+%28Response%29%22">Feedback (Response)</searchLink><br /><searchLink fieldCode="DE" term="%22English+%28Second+Language%29%22">English (Second Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Instruction%22">Second Language Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Instruction%22">Writing Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Evaluation%22">Writing Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+Linguistics%22">Computational Linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22English+for+Academic+Purposes%22">English for Academic Purposes</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Reports%22">Research Reports</searchLink><br /><searchLink fieldCode="DE" term="%22Scores%22">Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Effectiveness%22">Instructional Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Citations+%28References%29%22">Citations (References)</searchLink><br /><searchLink fieldCode="DE" term="%22Revision+%28Written+Composition%29%22">Revision (Written Composition)</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Honors+Curriculum%22">Honors Curriculum</searchLink><br /><searchLink fieldCode="DE" term="%22Doctoral+Students%22">Doctoral Students</searchLink>
– Name: Subject
  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: DOI
  Label: DOI
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  Data: 10.1080/09588221.2021.1879161
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0958-8221<br />1744-3210
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: AWCF can facilitate academic writing development, especially for novice writers of English as a foreign language (EFL). Existing AWCF studies mainly focus on teacher and learner perceptions; fewer have investigated the error-correction effect of AWCF and factors related to the effect. Especially lacking is research on how successfully students can use AWCF to correct errors in source-based academic writing. Meanwhile, "Grammarly," an automated writing evaluation (AWE) tool, is under-represented in AWCF studies despite its extensive use in EFL classrooms and its significant advantages. Correspondingly, we evaluated how effectively EFL students could use "Grammarly"-provided feedback for error correction in research writing and what factors were related to user responses (i.e., revision operations) and response accuracy. The results show that the error scores decreased significantly after revision and the participants correctly addressed 85% of the "Grammarly"-flagged usages. The error-correction success was impressive, considering how the technical nature of research writing might affect feedback accuracy and user responses, both related to response accuracy. In fact, feedback accuracy contributed to response accuracy both directly and indirectly (via user responses). The findings have implications for source-based academic writing instruction and AWE tool development.
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  Data: 2023
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  Data: EJ1376765
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        Value: 10.1080/09588221.2021.1879161
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      – Text: English
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      Pagination:
        PageCount: 20
        StartPage: 2312
    Subjects:
      – SubjectFull: Error Correction
        Type: general
      – SubjectFull: Feedback (Response)
        Type: general
      – SubjectFull: English (Second Language)
        Type: general
      – SubjectFull: Second Language Learning
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      – SubjectFull: Teaching Methods
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      – SubjectFull: Writing Evaluation
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      – SubjectFull: Accuracy
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      – SubjectFull: Computer Software
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      – SubjectFull: Computational Linguistics
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      – SubjectFull: Revision (Written Composition)
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      – SubjectFull: Doctoral Students
        Type: general
      – SubjectFull: China
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      – TitleFull: How Effectively Can EFL Students Use Automated Written Corrective Feedback (AWCF) in Research Writing?
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            NameFull: Feng, Ruiling
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            NameFull: Hua, Yuanfang
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