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From Hype to Practice: Reinterpreting the Writing Process Through Technical Writing Students' Engagement with ChatGPT.

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Title: From Hype to Practice: Reinterpreting the Writing Process Through Technical Writing Students' Engagement with ChatGPT.
Authors: Jiang, Jialei1 (AUTHOR) j.jiang@pitt.edu, Vetter, Matthew A.2 (AUTHOR), Lucia, Brent3 (AUTHOR)
Source: Technical Communication Quarterly. Apr-Jun2026, Vol. 35 Issue 2, p207-229. 23p.
Subjects: ChatGPT, Writing processes, Student engagement, Rhetorical theory, Qualitative research, Technical writing, Generative artificial intelligence
Abstract: Guided by the scholarly understanding of generative artificial intelligence, this study explores technical writing students' engagement with ChatGPT during their writing process. This study is informed by the classical five canons of rhetoric, along with the contemporary reinterpretations of the canons. Employing a qualitative analysis of interviews, this study argues that the students' engagement with ChatGPT allows for reframing and expanding the notions of the writing process and rhetorical canons in the previous literature. [ABSTRACT FROM AUTHOR]
Copyright of Technical Communication Quarterly is the property of Taylor & Francis Ltd 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.)
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  Data: From Hype to Practice: Reinterpreting the Writing Process Through Technical Writing Students' Engagement with ChatGPT.
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  Data: <searchLink fieldCode="AR" term="%22Jiang%2C+Jialei%22">Jiang, Jialei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> j.jiang@pitt.edu</i><br /><searchLink fieldCode="AR" term="%22Vetter%2C+Matthew+A%2E%22">Vetter, Matthew A.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lucia%2C+Brent%22">Lucia, Brent</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Technical+Communication+Quarterly%22">Technical Communication Quarterly</searchLink>. Apr-Jun2026, Vol. 35 Issue 2, p207-229. 23p.
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  Data: <searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+processes%22">Writing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Rhetorical+theory%22">Rhetorical theory</searchLink><br /><searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Technical+writing%22">Technical writing</searchLink><br /><searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Guided by the scholarly understanding of generative artificial intelligence, this study explores technical writing students' engagement with ChatGPT during their writing process. This study is informed by the classical five canons of rhetoric, along with the contemporary reinterpretations of the canons. Employing a qualitative analysis of interviews, this study argues that the students' engagement with ChatGPT allows for reframing and expanding the notions of the writing process and rhetorical canons in the previous literature. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Technical Communication Quarterly is the property of Taylor & Francis Ltd 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: 10.1080/10572252.2024.2445302
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        Text: English
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        Type: general
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      – SubjectFull: Student engagement
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      – TitleFull: From Hype to Practice: Reinterpreting the Writing Process Through Technical Writing Students' Engagement with ChatGPT.
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              Text: Apr-Jun2026
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              Y: 2026
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