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.
Authors: Marie Lim, Jonna1 jonna.lim@dlsu.edu.ph, Go, Christian2 cggo@up.edu.ph
Source: TESL-EJ. Nov2025, Vol. 29 Issue 3, p1-21. 21p.
Subject Terms: *Second language acquisition, ChatGPT, Writing instruction
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. [ABSTRACT FROM AUTHOR]
Copyright of TESL-EJ is the property of TESL-EJ and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="AR" term="%22Marie+Lim%2C+Jonna%22">Marie Lim, Jonna</searchLink><relatesTo>1</relatesTo><i> jonna.lim@dlsu.edu.ph</i><br /><searchLink fieldCode="AR" term="%22Go%2C+Christian%22">Go, Christian</searchLink><relatesTo>2</relatesTo><i> cggo@up.edu.ph</i>
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  Data: <searchLink fieldCode="JN" term="%22TESL-EJ%22">TESL-EJ</searchLink>. Nov2025, Vol. 29 Issue 3, p1-21. 21p.
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  Data: *<searchLink fieldCode="DE" term="%22Second+language+acquisition%22">Second language acquisition</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+instruction%22">Writing instruction</searchLink>
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  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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of TESL-EJ is the property of TESL-EJ and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.55593/ej.29115int
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      – SubjectFull: Writing instruction
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              Text: Nov2025
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