Leveraging ChatGPT for research writing: An exploration of ESL graduate students’ practices

This case study investigates how two ESL graduate students, Ian and Sam, use ChatGPT in their research writing after receiving a comprehensive tutorial based on Warschauer et al.’s (2023) AI literacy framework. We analyzed their engagement with ChatGPT across prompt categories including genre, content, language use, documentation, coherence, and clarity. Data were collected from research paper drafts, ChatGPT chat histories, and interviews. Data analyses included coding ChatGPT prompts, textual analysis of drafts, and thematic analysis of interview transcripts . Results show that while both participants utilized ChatGPT for understanding genre conventions and content development, they developed distinct approaches reflecting their individual backgrounds. Ian selectively used ChatGPT for specific assistance needs, while Sam engaged more systematically, particularly for APA style and coherence checks. Both approaches maintained academic integrity and scholarly voice, demonstrating that Generative AI tools can be effectively tailored to individual needs without compromising ethical standards. This study highlights how advanced ESL writers can adapt GenAI tools to their unique writing processes, offering insights into the diverse ways AI can enhance academic writing while preserving individual agency. The findings suggest that AI integration in academic writing can be customized to support diverse writing goals and backgrounds.

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Publication Details

Journal
Computers & composition/Computers and composition
Published
2025-04-26
DOI
https://doi.org/10.1016/j.compcom.2025.102934
Citations
6
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.93
Controls
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article

Leveraging ChatGPT for research writing: An exploration of ESL graduate students’ practices

Tony Szu‐Hsien Lee, Dongmei Cheng, Mimi Li
6 citations
Computers & composition/Computers and composition
Artificial Intelligence in Healthcare and Education
3.93
article

Leveraging ChatGPT for research writing: An exploration of ESL graduate students’ practices

Tony Szu‐Hsien Lee, Dongmei Cheng, Mimi Li
article en
6 citations

Abstract

This case study investigates how two ESL graduate students, Ian and Sam, use ChatGPT in their research writing after receiving a comprehensive tutorial based on Warschauer et al.’s (2023) AI literacy framework. We analyzed their engagement with ChatGPT across prompt categories including genre, content, language use, documentation, coherence, and clarity. Data were collected from research paper drafts, ChatGPT chat histories, and interviews. Data analyses included coding ChatGPT prompts, textual analysis of drafts, and thematic analysis of interview transcripts . Results show that while both participants utilized ChatGPT for understanding genre conventions and content development, they developed distinct approaches reflecting their individual backgrounds. Ian selectively used ChatGPT for specific assistance needs, while Sam engaged more systematically, particularly for APA style and coherence checks. Both approaches maintained academic integrity and scholarly voice, demonstrating that Generative AI tools can be effectively tailored to individual needs without compromising ethical standards. This study highlights how advanced ESL writers can adapt GenAI tools to their unique writing processes, offering insights into the diverse ways AI can enhance academic writing while preserving individual agency. The findings suggest that AI integration in academic writing can be customized to support diverse writing goals and backgrounds.

Computers & composition/Computers and compositionVol. 76
East Texas A&M University (US)
Quality Education
Openalex Percentile: Top 6%
Artificial Intelligence in Healthcare and Education
3.93
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Leveraging ChatGPT for research writing: An exploration of ESL graduate students’ practices — Tony Szu‐Hsien Lee, Dongmei Cheng, et al. · Computers & composition/Computers and composition (2025) | TGRS Research Map | TGRS