Abstract

This article explores teaching writing with generative AI as critical play where students and teachers engage in an ethically dialectical and aleatory game with generative AI. I qualitatively surveyed 24 writing teachers about how they teach writing with generative AI as well as its advantages and disadvantages. I discovered that teachers used generative AI to teach about the ethics of generative AI's design and rhetorical use to avoid plagiarism. Teachers also critically played with generative AI to teach the writing process of invention, drafting, revision, and editing. Specifically, the critical, dialectical interplay of human and machine invents in aleatory and emergent ways, creating moments of epiphany for students and teachers within the writing process for invention, drafting, revision, and editing while the real time pace of generative AI democratizes education, making writing and teaching more accessible for them.

Journal
Computers and Composition
Published
2025-03-01
DOI
10.1016/j.compcom.2025.102915
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Topics

Citation Context

Cited by in this index (1)

  1. Technical Communication Quarterly

Cites in this index (16)

  1. Computers and Composition
  2. Journal of Technical Writing and Communication
  3. Rhetoric Society Quarterly
  4. Rhetoric Society Quarterly
  5. Computers and Composition
Show all 16 →
  1. Computers and Composition
  2. Computers and Composition
  3. Computers and Composition
  4. Journal of Technical Writing and Communication
  5. Technical Communication Quarterly
  6. Computers and Composition
  7. Computers and Composition
  8. Computers and Composition
  9. Computers and Composition
  10. College Composition and Communication
  11. Rhetoric Society Quarterly
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  3. Writing with ChatGPT: An Illustration of its capacity, limitations, and implications for …
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  4. Genre as social action
    Quarterly Journal of Speech  
  5. Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon
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  6. A general inductive approach for analyzing qualitative evaluation data
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  7. A survey of human-in-the-loop for machine learning
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CrossRef global citation count: 7 View in citation network →