Computers and Composition Mar 2024 Open Access

Writing with generative AI and human-machine teaming: Insights and recommendations from faculty and students

Andelyn Bedington Miami University ; Emma F. Halcomb Miami University ; Heidi A. McKee Miami University ; Thomas Sargent ; Adler Smith Miami University

Abstract

We share our experiences working with large-language model generative AI for a full semester in a professional writing course, integrating it into all projects. We discuss how we adapted our teaching, learning, and writing to using (or purposefully not using) AI. Issues we discuss include balancing integration of AI to avoid potential overreliance, the importance of centering authorial agency and decision-making, negotiating grading and evaluation, the benefits and drawbacks of AI throughout the writing process, and the relationships we build or could build with AI. We close with recommendations for faculty and students.

Journal
Computers and Composition
Published
2024-03-01
DOI
10.1016/j.compcom.2024.102833
CompPile
Search in CompPile ↗
Open Access
OA PDF Hybrid
Topics
writing pedagogy teacher development assessment professional writing artificial intelligence
Export
BibTeX RIS

Citation Context

Cited by in this index (17)

  1. McVey et al. (2026)
    Integrating generative AI in first-year writing: Lessons from a pilot initiative
    Computers and Composition
  2. Jiang et al. (2026)
    User experience in composition: Rethinking the past and mapping the future of w…
    Computers and Composition
  3. Jablonski et al. (2026)
    Introduction: Advancing Technical Editing in the Age of GAI
    Technical Communication Quarterly
  4. Agbozo et al. (2026)
    From Technical Editing to Content Design: Harnessing Machine Rhetorics in the A…
    Technical Communication Quarterly
  5. Jiang et al. (2026)
    Designing experience: Multimodal UX in the expanding field of composition
    Computers and Composition
Show all 17 →
  1. Kailin et al. (2026)
    Chinese EFL learners’ engagement with ChatGPT feedback on academic writing: A c…
    Computers and Composition
  2. Verhulsdonck et al. (2026)
    Expanding Human-in-the-Loop: Critical Sensemaking for Technical and Professiona…
    Journal of Technical Writing and Communication
  3. Aune et al. (2025)
    Anthropomorphizing Artificial Intelligence: A Corpus Study of Mental Verbs Used…
    Technical Communication Quarterly
  4. Basgier et al. (2025)
    From an Unsettled Middle: A Critical-Ethical Stance for GenAI-Engaged Writing A…
    College Composition and Communication
  5. Edwards (2025)
    Weathering the Rhetorical Climates of AI
    College Composition and Communication
  6. Aguilar (2025)
    AI Writing Is Always Embodied: Building a Critical Awareness of the Invisible L…
    College Composition and Communication
  7. Gallagher et al. (2025)
    When collaborating turns into dishonesty: A data-driven heuristic comparing hum…
    Computers and Composition
  8. Manierre et al. (2025)
    Coexisting with ChatGPT: Evaluating a tool for AI-based paper revision
    Computers and Composition
  9. Lin et al. (2025)
    Integrating generative AI into digital multimodal composition: A study of multi…
    Computers and Composition
  10. Colby (2025)
    Playing the digital dialectic game: Writing pedagogy with generative AI
    Computers and Composition
  11. Jiang (2024)
    When generative artificial intelligence meets multimodal composition: Rethinkin…
    Computers and Composition
  12. Garib et al. (2024)
    DETECTing the anomalies: Exploring implications of qualitative research in iden…
    Computers and Composition

References (23) · 1 in this index

  1. Banks (2006)
    Race, rhetoric, and technology searching for higher ground
  2. Bender (2021)
    On the dangers of stochastic parrots: Can language models be too big?
    FAccT '21: Proceedings of the 2021 ACM conference on fairness, accountability, and transparency
  3. Chao, W. (2023). The fourth revolution: An interview with Yang Qiang. UNESCO Courier. https://en.unesco.org/c…
  4. Coley, M. (2023, August 16). Guidance on AI detection and why we're disabling turnitin's AI detector. Brights…
  5. Duarte, F. (2023, July 13). Number of ChatGPT users. Exploding Topics. https://explodingtopics.com/blog/chatg…
Show all 23 →
  1. Ericsson (2006)
    Machine scoring of student essays: Truth and consequences
  2. Floridi (2014)
    The fourth revolution: How the infosphere is reshaping human reality
  3. Floridi (2023)
    AI as agency without intelligence: On ChatGPT, large language models, and other generativ…
    Philosophy and Technology  ↗
  4. Gordon, C. (2023, Feb 2). ChatGPT is the fastest growing app in the history of web applications. Forbes. http…
  5. Herrington (2001)
    What happens when machines read our students’ writing?
    College English
  6. Klein (2022)
  7. Koyama, M. (2023, Jun 22). Use ChatGPT at work? Just 7% in Japan vs. half in the US: Survey. Nikkei Asia. htt…
  8. McKee (2011)
    Policy Matters Now and in the Future: Net Neutrality, Corporate Data Mining, an…
    Computers and Composition
  9. McKee (2017)
    Professional communication and networked interaction
  10. McKee (2020)
    Ethics for AI writing: The importance of rhetorical context
    Proceedings of 2020 AAAI/ACM conference on AI, ethics, and society (AIES’20), February 7–8, 2020
  11. McKee (2022)
    Team roles and rhetorical intelligence in human-machine writing
    Proceedings of the 2022 IEEE international professional communication conference (ProComm), 2022
  12. National Institute of Neurological Disorders and Stroke. (2023). Apraxia. https://www.ninds.nih.gov/health-in…
  13. NCTE. (2013, April). Position statement: Machine scoring fails the test. https://ncte.org/statement/machine_s…
  14. Piantadosi, S.T. (2022, Dec 4). Tweet. https://twitter.com/spiantado/status/1599462375887114240.
  15. PRWeb, (2023). Survey: Majority of US workers are already using generative AI tools–but company policies trai…
  16. Shrivastava, R. (2023, April 20). “I've never hired a writer better than ChatGPT”: How AI is upending the fre…
  17. Verma, P., & De Vynck, G. (2023, Jun 2). ChatGPT took their jobs. Now they walk dogs and fix air conditioners…
  18. Xiang, C. (2023). NYU professors tell their students: Do not use ChatGPT. Vice. https://www.vice.com/en/artic…
CrossRef global citation count: 62 View in citation network → Build reading path →

Related Articles

  1. Business and Professional Communication Quarterly May 2024
    Pedagogical Impact of Text-Generative AI and ChatGPT on Business Communication ↗
    Daneshwar Sharma; Himanshi Pandey
    writing pedagogy teacher development assessment professional writing qualitative research artificial intelligence editorial matter
  2. Computers and Composition Jun 2026
    “Article laundry” or “tutor in pocket?”: Multilingual writers’ generative AI-assisted writing in professional settings ↗
    Qianqian Zhang-Wu
    writing pedagogy teacher development professional writing qualitative research digital rhetoric artificial intelligence multilingual writers
  3. Assessing Writing Jan 2026
    Generative artificial intelligence for automated essay scoring: Exploring teacher agency through an ecological perspective ↗
    Jessie S. Barrot
    writing pedagogy teacher development assessment artificial intelligence literacy studies
  4. Business and Professional Communication Quarterly Dec 2025
    Rethinking Teacher-Student Communication in the AI Era ↗
    Huu Phuoc Tran
    writing pedagogy teacher development assessment digital rhetoric artificial intelligence literacy studies
  5. Pedagogy Oct 2025
    Contributors ↗
    modern rhetorical theory rhetorical criticism genre theory cultural rhetorics first-year composition writing pedagogy advanced composition creative writing writing across the curriculum graduate education two-year college service learning teacher development technical communication professional writing labor and working conditions archival research multimodality artificial intelligence literacy studies race and writing gender and writing disability studies literary studies editorial matter