Rhetorical Choices & Voice: Generative AI in the First-Year Composition Classroom

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Bibliographic Details
Title: Rhetorical Choices & Voice: Generative AI in the First-Year Composition Classroom
Language: English
Authors: Guy J. Krueger
Source: Thresholds in Education. 2025 48(1):99-110.
Availability: Academy for Educational Studies. 2419 Berkeley Street, Springfield, MO 65804. Tel: 417-299-1560; e-mail: cqieeditors@gmail.com; Web site: http://academyforeducationalstudies.org
Peer Reviewed: Y
Page Count: 12
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Writing Instruction, Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods, Essays, Writing Processes, Student Attitudes, Writing Assignments, English Learners, Native Speakers, Undergraduate Students, Revision (Written Composition)
ISSN: 0196-9641
2381-5485
Abstract: Generative AI has become a quotidian discussion topic in many writing departments, and the conversations often focus on the negative aspects or the disruptions it has caused. A growing number of teachers and scholars, though, have embraced the new technology and welcomed it into their classrooms. In the Spring 2024 semester, students in my first-year composition (FYC) classes completed an assignment that asked them to use generative AI to create an essay that they then re-worked through a combination of changing language/phrasing, changing content, and adding/removing content. This chapter argues that students are still doing rich and sophisticated rhetorical work like they would when beginning a piece from scratch. Grounded in Composition theory and scholarship, and featuring students' reflective thoughts on the assignment, this chapter makes the case that students understand and value their own voices in writing. Further, this study challenges the common belief that students want to take the easy way out and use generative AI uncritically. Rather, students seem to be comfortable with a new type of co-agency in which they use generative AI as a tool to assist them, not one that takes over.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1468039
Database: ERIC
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