Integrating ChatGPT into Teacher Feedback: Practical Insights for L2 Writing Instruction
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| Title: | Integrating ChatGPT into Teacher Feedback: Practical Insights for L2 Writing Instruction |
|---|---|
| Language: | English |
| Authors: | Jonna Marie Lim (ORCID |
| Source: | TESL-EJ. 2025 29(3). |
| Availability: | TESL-EJ. e-mail: editor@tesl-ej.org; Web site: http://tesl-ej.org |
| Peer Reviewed: | Y |
| Page Count: | 21 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Technology Uses in Education, Writing Instruction, Second Language Learning, Feedback (Response), Essays, Writing Skills, Instructional Effectiveness, Formative Evaluation, College Freshmen, College Faculty |
| ISSN: | 1072-4303 |
| Abstract: | This paper explores the integration of ChatGPT into the L2 writing classroom as a tool for enhancing teacher feedback on student essays. Using a reflexive case study methodology, we examine how generative AI (GenAI) augments teacher feedback in areas such as thesis clarity, idea development, and grammatical accuracy. By combining ChatGPT's rapid feedback with teachers' contextual insights, we propose a blended feedback model that leverages both AI capabilities and teachers' expertise for more personalized feedback. Results show that the teacher effectively utilizes ChatGPT by integrating AI-generated insights with her own to refine feedback, correct inaccuracies in ChatGPT's feedback, and engage students in meaningful dialogues based on these AI-generated insights. These strategies highlight the blended feedback model's potential to provide comprehensive and personalized feedback, which could deepen student engagement and enhance the quality of their writing. While ChatGPT proves beneficial for formative feedback, its effectiveness is greatly enhanced when combined with the expert knowledge of teachers, ensuring that the feedback remains relevant and tailored to individual student needs. Thus, we recommend further exploration of blended feedback models and additional strategies for utilizing GenAI to enhance the quality of teacher feedback, particularly in formative assessments in L2 writing classes. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1489053 |
| Database: | ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating ChatGPT into Teacher Feedback: Practical Insights for L2 Writing Instruction – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jonna+Marie+Lim%22">Jonna Marie Lim</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9524-9321">0000-0002-9524-9321</externalLink>)<br /><searchLink fieldCode="AR" term="%22Christian+Go%22">Christian Go</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9962-4547">0000-0002-9962-4547</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22TESL-EJ%22"><i>TESL-EJ</i></searchLink>. 2025 29(3). – Name: Avail Label: Availability Group: Avail Data: TESL-EJ. e-mail: editor@tesl-ej.org; Web site: http://tesl-ej.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 21 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Instruction%22">Writing Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+%28Response%29%22">Feedback (Response)</searchLink><br /><searchLink fieldCode="DE" term="%22Essays%22">Essays</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Skills%22">Writing Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Effectiveness%22">Instructional Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Formative+Evaluation%22">Formative Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22College+Freshmen%22">College Freshmen</searchLink><br /><searchLink fieldCode="DE" term="%22College+Faculty%22">College Faculty</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1072-4303 – Name: Abstract Label: Abstract Group: Ab Data: This paper explores the integration of ChatGPT into the L2 writing classroom as a tool for enhancing teacher feedback on student essays. Using a reflexive case study methodology, we examine how generative AI (GenAI) augments teacher feedback in areas such as thesis clarity, idea development, and grammatical accuracy. By combining ChatGPT's rapid feedback with teachers' contextual insights, we propose a blended feedback model that leverages both AI capabilities and teachers' expertise for more personalized feedback. Results show that the teacher effectively utilizes ChatGPT by integrating AI-generated insights with her own to refine feedback, correct inaccuracies in ChatGPT's feedback, and engage students in meaningful dialogues based on these AI-generated insights. These strategies highlight the blended feedback model's potential to provide comprehensive and personalized feedback, which could deepen student engagement and enhance the quality of their writing. While ChatGPT proves beneficial for formative feedback, its effectiveness is greatly enhanced when combined with the expert knowledge of teachers, ensuring that the feedback remains relevant and tailored to individual student needs. Thus, we recommend further exploration of blended feedback models and additional strategies for utilizing GenAI to enhance the quality of teacher feedback, particularly in formative assessments in L2 writing classes. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2025 – Name: AN Label: Accession Number Group: ID Data: EJ1489053 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 21 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Writing Instruction Type: general – SubjectFull: Second Language Learning Type: general – SubjectFull: Feedback (Response) Type: general – SubjectFull: Essays Type: general – SubjectFull: Writing Skills Type: general – SubjectFull: Instructional Effectiveness Type: general – SubjectFull: Formative Evaluation Type: general – SubjectFull: College Freshmen Type: general – SubjectFull: College Faculty Type: general Titles: – TitleFull: Integrating ChatGPT into Teacher Feedback: Practical Insights for L2 Writing Instruction Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jonna Marie Lim – PersonEntity: Name: NameFull: Christian Go IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1072-4303 Numbering: – Type: volume Value: 29 – Type: issue Value: 3 Titles: – TitleFull: TESL-EJ Type: main |
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