Abstracts
Abstract
This paper reviews AI discussions 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.
Keywords:
- artificial intelligence,
- generative AI,
- writing and AI,
- writing pedagogies,
- systematic review
Appendices
Bibliography
- Adu, P. (2019). A step-by-step guide to qualitative data coding. Routledge.
- Anselmo, L., & Kendon, T. (10 October, 2023). Exploring artificial intelligence and assessments: A guide for instructors considering artificial intelligence in their assessments. Taylor Institute for Teaching and Learning. https://taylorinstitute.ucalgary.ca/resources/exploring-artificial-intelligence-and-assessments
- Anson, D.W.J. (2024). The impact of large language models on university students’ literacy development: A dialogue with Lea and Street’s academic literacies framework. Higher Education Research & Development, 43(7), 1465-1478. https://doi.org/10.1080/07294360.2024.2332259
- Baba, K., Faddouli, E., & Cheimanoff, N. (2024). Mobile-optimized AI-driven personalized learning: A case study at Mohammed VI Polytechnic University. International Journal of Interactive Mobile Technologies, 18(4), 81-96. https://doi.org/10.3991/ijim.v18i04.46547
- Bearman, M., & Ajjawi, R. (2023). Learning to work with the black box: Pedagogy for a world with artificial intelligence. British Journal of Educational Technology, 54(5), 1160-1173. https://doi.org/10.1111/bjet.13337
- Bearman, M., Tai, J., Dawson, P., Boud, D., & Ajjawi, R. (2024). Developing evaluative judgement for a time of generative artificial intelligence. Assessment and Evaluation in Higher Education, 1-13. https://doi.org/10.1080/02602938.2024.2335321
- Beck, S.W., & Levine, S. (2024). The next word: A framework for imagining the benefits and harms of generative AI as a resource for learning to write. Reading Research Quarterly, 59(4), 706-715. https://doi.org/10.1002/rrq.567
- Burriss, S.K., & Leander, K. (2024). Critical posthumanist literacy: Building theory for reading, writing, and living ethically with everyday artificial intelligence. Reading Research Quarterly, 59(4), 560-569. https://doi.org/10.1002/rrq.565
- Cardon, P., Fleischmann, C., Aritz, J., Logemann, M. & Heidewald, J. (2023). The challenges and opportunities of AI-assisted writing: Developing AI literacy for the AI age. Business and Professional Communication Quarterly, 86(3), 257–295. https://doi.org/10.1177/23294906231176517
- Cummings, R.E., Monroe, S.M., & Watkins, M. (2024). Generative Ai in first-year writing: An early analysis of affordances, limitations, and a framework for the future. Computers and Composition, 71, 1-11. https://doi.org/10.1016/j.compcom.2024.102827
- Davis, D., Jindal-Snape, D., Collier, C., Digby, R., Hay, P., & Howe, A. (2012). Creative learning environments in education systematic literature review. Thinking Skill and Creativity, 8, 80-91. https://doi.org/10.1016/j.tsc.2012.07.004.
- De Matas, J. (2023). ChatGPT and the future of writing about writing. Double Helix, 11, 1-7. https://doi.org/10.37514/DBH-J.2023.11.1.09
- Eaton, S.E. (2023). Postplagiarism: Transdisciplinary ethics and integrity in the age of artificial intelligence and neurotechnology. International Journal for Educational Integrity, 19(23). https://edintegrity.biomedcentral.com/articles/10.1007/s40979-023-00144-1
- Flenady, G., & Sparrow, R. (2025). Cut the bullshit: Why GenAI systems are neither collaborators nor tutors. Teaching in Higher Education, 1-10. https://doi.org/10.1080/13562517.2025.2497263
- Fyfe, P. (2022). How to cheat on your final paper: Assigning AI for student writing. AI & Society, 38, 1395-1405. https://doi.org/10.1007/s00146-022-01397-z
- Girdharry, K., & Khachatryan, D. (2023). Meaningful writing in the age of generative artificial intelligence. Double Helix: A Journal of Critical Thinking and Writing, 11. https://doi.org/10.37514/DBH-J.2023.11.1.04
- Graham, S., Liu, X., Bartlett, B., Ng, C., Harris, K.R., Aitken, A., Barkel, A., Kavanaugh, C., & Talukdar, J. (2018). Reading for writing: A meta-analysis of the impact of reading interventions on writing. Review of Educational Research, 88(2), 243-284. https://doi.org/10.3102/0034654317746927
- Hassel, H. (2013). Research gaps in Teaching English in the Two-Year College. Teaching English in the Two-Year College, 40(4), 343-363. https://doi.org/10.58680/tetyc201323601
- Higgs, J., & Stornaiuolo, A. (2024). Being human in the age of generative AI: Young people’s ethical concerns about writing and living with machines. Reading Research Quarterly, 59(4), 632-650. https://doi.org./10.1002/rrq.552
- Johnson, G.P. (2023). Don’t act like you forgot: Approaching another literacy “crisis” by (re)considering what we know about teaching writing with and through technologies. Composition Studies, 51(1), 169-175. https://compstudiesjournal.com/wp-content/uploads/2023/06/johnson.pdf
- Johnston, H., Wells, R.F., Shanks, E.M., Boey, T., & Parsons, B.N. (2024). Student perspectives on the use of generative artificial intelligence technologies in higher education. International Journal for Educational Integrity, 20(2), 1-21. https://doi.org/10.1007/s40979-024-00149-4
- Joksimovic, S., Ifenthaler, D., Marrone, R., De Laat, M., & Siemens, G. (2023). Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a scoping review. Computers and Education: Artificial Intelligence, 4, 100138.
- Kim, N., & Kim, M. (2022). Teacher’s perceptions of using an artificial intelligence-based educational tool for scientific writing. Frontiers in Education, 7, 1-13. https://doi.org/10.3389/feduc.2022.755914
- Kostopoulos, E. (2025). Student use of generative AI as a composing process supplement: Concerns for intellectual property and academic honesty. Computers and Composition, 75. https://doi.org/10.1016/j.compcom.2024.102894
- Kumar, P.C., Cotter, K., & Cabrera, L. (2024). Taking responsibility for meaning and mattering: An agential realist approach to generative Ai and literacy. Reading Research Quarterly, 59(4), 570-578. https://doi.org/10.1002/rrq.570
- Lee, S. J., & Kwon, K. (2024). A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes. Computers and Education: Artificial Intelligence, 100211.
- Lin, C., Zhou, K., Li, L., & Sun, L. (2025). Integrating generative Ai into digital multimodal composition: A study of multicultural second-language classrooms. Computers and Composition, 75. https://doi.org/10.1016/j.compcom.2024.102895
- Lo, L. (2023). The art and science of prompt engineering: A new literacy in the information age. Internet Reference Services Quarterly, 1-8. https://doi.org/10.1080/10875301.2023.2227621
- Luo, J. (2024). A critical review of GenAI policies in higher education assessment: A call to reconsider the ‘originality’ of students’ work. Assessment & Evaluation in Higher Education, 1-14. https://doi.org/10.1080/02602938.2024.2309963
- Majdik, Z.P., & Graham, S.S. (2024). Rhetoric of/with AI: An introduction. Rhetoric Society Quarterly, 54(3), 222-231. https://doi.org/10.1080/02773945.2024.2343264
- Marcel, F., & Kang, P. Examining AI guidelines in Canadian universities: Implications on academic integrity in academic writing. Discourse and Writing, 34. https://doi.org/10.31468/dwr.1051
- Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., Tondeur, J., De Laat, M., Buckingham Shum, S., Gašević, D., & Siemens, G. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Computers and Education. Artificial Intelligence, 3, 1-16. https://doi.org/10.1016/j.caeai.2022.100056
- Mollick, E.R., & Mollick, L. (2023). Using AI to implement effective teaching strategies in classrooms: Five strategies, including prompts. The Warton School Research Paper. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4391243
- Moulaison-Sandy, H. (2025). AI and authorship in scholarly communication: Writing with intelligence. Routledge.
- Ng, D., Leung, J., Chu, S., & Qiao, M. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 1-11. https://doi.org/10.1016/j.caeai.2021.100041
- Omizo, R., & Hart-Davidson, B. (2024). Is genre enough? A theory of genre signaling as generative AI rhetoric. Rhetoric Society Quarterly, 54(3), 272-285. https://doi.org/10.1080/02773945.2024.2343615
- Pandey, H.L., Bhusal, P.C., & Niraula, S. (2025). Large language models and digital multimodal composition in the first-year composition classrooms: An encroachment and/or enhancement dilemma. Computers and Composition, 75. https://doi.org/10.1016/j.compcom.2024.102892
- Risko, V. J., Roller, C. M., Cummins, C., Bean, R. M., Collins, Block, Anders, C., et al. (2008). A critical analysis of research on reading teacher education. Reading Research Quarterly, 43, 252-288. https://doi.org/10.1598.RRQ.43.3.3
- Robinson, B., & Hollett, T. (2024). Literacy in the age of AI. Reading Research Quarterly, 59(4), 555-559. https://doi.org/10.1002/rrq.581
- Scott, C.E., McTigue, E., Miller, D.M., & Washburn, E. (2018). The what, when and how of preservice teachers and literacy across the disciplines: A systematic literature review of nearly 50 years of research. Teaching and Teacher Education, 73(2), 1-13. https://doi.org/10.1016/j.tate.2018.03.010
- Smith, B.E., Shimuzu, A.Y., Burriss, S.K., Hundley, M., & Pendergrass, E. (2025). Multimodal composing with generative Ai: Examining preservice teachers’ processes and perspectives. Computers and Composition, 75. https://doi.org/10.1016/j.compcom.2024.102896
- Su, J., & Yang, W. (2023). Unlocking the power of ChatGPT: A framework for applying generative AI in education. ECNU Review of Education, 6(3), 355-366. https://doi.org/10.1177/20965311231168423
- Tai, J., Ajjawi, R., Boud, D., Dawson, P., Panadero, E. (2018). Developing evaluative judgement: Enabling students to make decisions about the quality of work. Higher Education, 76, 467-481. https://doi.org/10.1007/s10734-017-0220-3
- Torgerson, C.J. (2007). The quality of systematic reviews of effectiveness in literacy learning in English: A ‘tertiary’ review. Journal of Research in Reading, 30, 287-315. http://refhub.elsevier.com/S0742-051X(17)31085-5/sref83
- Tseng, W., & Warschauer, M. (2023). AI-writing tools in education: If you can’t beat them, join them. Journal of China Computer-Assisted Language Learning. https://doi.org/10.1515/jccall-2023-0008
- Tzirides, A. O., Zapata, G., Kastania, N. P., Saini, A., Castro, V., Ismael, S., You, Y., Afonso dos Santos, T., Searsmith, D., O'Brien, C., Cope, B., & Kalantzis, M. (2024). Combining human and artivicial intelligence for enhanced AI literacy in higher education. Computers and Education Open, 6, Article 100184. https://doi.org/10.1016/j.caeo.2024.100184
- Van Poucke, M. (2024). ChatGPT, the perfect virtual teaching assistant? Ideological bias in learner chatbot interactions. Computers and Composition, 73. https://doi.org/10.1016/j.compcom.2024.102871
- Vetter, M.A., Lucia, B., Jiang, J., Othman, M. (2024). Towards a framework for local interrogation of AI ethics: A case study on text generators, academic integrity, and composing with ChatGPT. Computers and Composition, 72. https://doi.org/10.1016/j.compcom.2024.102831
- Wang, Z. (2024). Post-rhetoric: A rhetorical provile of the generative artivicial intelligence chatbot. Rhetoric Review, 43(3), 155-172. https://doi.org/10.1080/07350198.2024.2351723
- Wang, Z., & Wang, C. (2025). A posthumanist approach to AI literacy. Computers and Composition, 76. https://doi.org/10.1016/j.compcom.2025.102933
- Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q., & Tate, T. (2023). The affordances and contradictions of AI-generated text for writers of English as a second or foreign language. Journal of Second Language Writing, 62, 101071. https://doi.org/10.1016/j.jslw.2023.101071
- Zednik, C. (2021). Solving the black box problem: A normative framework for explainable artificial intelligence. Philosophy & Technology, 34(2), 265-288. https://doi.org/10.1007/s13347-019-00382-7