Where We’re At, What We Must Know, and Where We Can Go: A Systematic Review of Research about Writing and Artificial Intelligence

This paper uses a systematic analysis to develop a thematic map of scholarship on AI, writing, and writing pedagogies. The project, developed between a university instructor and nine undergraduate students, had two central aims. The first was to synthesize the early research conversations on AI in writing contexts. The second was to identify gaps that will point to important next steps as the scholarly record on AI and writing develops. The paper presents five prominent themes: AI literacy, evaluating AI outputs, rhetoric in Human-AI interactions, AI and bias, and academic integrity. Conversations on AI literacy and academic integrity represent conceptual level discussions around AI and writing. The conversations around evaluation, rhetoric, and bias align more with AI writing practices and how these practices affect teaching and learning. Together, they provide a useful snapshot of scholarship and inform future work in a rapidly developing research conversation.

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Publication Details

Journal
Discourse and Writing/Rédactologie
Published
2026-01-06
DOI
https://doi.org/10.31468/dwr.1167
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Where We’re At, What We Must Know, and Where We Can Go: A Systematic Review of Research about Writing and Artificial Intelligence

Sarah Flood, Christopher Eaton, Connor Yu, Talla Enaya et al.
Discourse and Writing/Rédactologie
Artificial Intelligence in Healthcare and Education
article

Where We’re At, What We Must Know, and Where We Can Go: A Systematic Review of Research about Writing and Artificial Intelligence

Sarah Flood, Christopher Eaton, Connor Yu, Talla Enaya, Alexia Toma, Mian Muhammad Ahmed Shah, Tiffany Wang, Isabella Belmonte, Zainab Khalil, Anthony Makwanda
article en

Abstract

This paper uses a systematic analysis to develop a thematic map of scholarship on AI, writing, and writing pedagogies. The project, developed between a university instructor and nine undergraduate students, had two central aims. The first was to synthesize the early research conversations on AI in writing contexts. The second was to identify gaps that will point to important next steps as the scholarly record on AI and writing develops. The paper presents five prominent themes: AI literacy, evaluating AI outputs, rhetoric in Human-AI interactions, AI and bias, and academic integrity. Conversations on AI literacy and academic integrity represent conceptual level discussions around AI and writing. The conversations around evaluation, rhetoric, and bias align more with AI writing practices and how these practices affect teaching and learning. Together, they provide a useful snapshot of scholarship and inform future work in a rapidly developing research conversation.

Discourse and Writing/RédactologieVol. 35
University of Toronto (CA)
Quality Education
Openalex Percentile: Top 97%
Artificial Intelligence in Healthcare and Education
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