Always Watched, Always Watching
The Role of Surveillance in Writing Educator Experiences with Generative Artificial Intelligence
DOI :
https://doi.org/10.31468/dwr.1147Mots-clés :
generative artificial intelligence, writing pedagogies, teacher agency, surveillanceRésumé
Generative artificial intelligence is disrupting the pedagogies of educators who teach writing. Amidst the disruption, they are grappling with who this technology is asking them to become. Drawing on Foucault’s metaphor of the prison panopticon as a surveillance mechanism, we explore how teachers are positioned by surveillance of student writing post-generative AI. This paper highlights the experiences of two educators working in distinct policy contexts. Part of a broader study (n=39) exploring how language and literacy teachers in secondary and postsecondary contexts work with, around, or against the use of AI in student writing, the focal perspectives in this paper show the tensions of remaining the teachers they want to be while constrained by their institutional contexts. In understanding how these educators both resist and take-up the role of ‘AI detective’, the findings illustrate how writing pedagogies are shaped by surveillance. The role of the AI detective not only has implications for the ways educators see themselves, but also their ways of seeing learners. This research contributes to theory and practice at the intersection of artificial intelligence, writing practices, and teacher agency, offering critical questions to empower pedagogical responses to generative AI.
Références
Apramian, T., Cristancho, S., Watling, C., & Lingard, L. (2017). (Re)Grounding grounded theory: A
close reading of theory in four schools. Qualitative Research, 17(4), 359-376.
https://doi.org/10.1177/1468794116672914
Artan, J. (2024, July 4). AI in the ESL Classroom: Game Changer or Double-Edged Sword? – Part 1
[Webinar]. TESL Ontario. https://teslontario.org/webinars/ai-in-the-esl-classroom-game-changer-or-double-edged-sword-part-1/
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
Chai, C. S., Lin, P.-Y., Jong, M. S.-Y., Dai, Y., Chiu, T. K. F., & Qin, J. (2021). Perceptions of and behavioral
intentions towards learning artificial intelligence in primary school students. Educational
Technology & Society, 24(3), 89–101. https://doi.org/10.30191/ETS.202107_24(3).0007
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and
learning. International Journal of Educational Technology in Higher Education, 20(1), 38–25.
https://doi.org/10.1186/s41239-023-00408-3
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges
in higher education. International Journal of Educational Technology in Higher Education, 20(1),
–18. https://doi.org/10.1186/s41239-023-00411-8
Charmaz, K. (2014). Constructing grounded theory (2nd edition.). Sage.
Charmaz, K. (2017). The power of constructivist grounded theory for critical inquiry. Qualitative
Inquiry, 23(1), 34–45. https://doi.org/10.1177%2F1077800416657105
Chiu, T. K. F. (2023). The impact of generative AI (GenAI) on practices, policies and research direction
in education: a case of ChatGPT and Midjourney. Interactive Learning Environments, 1–17.
https://doi.org/10.1080/10494820.2023.2253861
Dai, R., Thomas, M. K. E., & Rawolle, S. (2025). Revisiting Foucault’s panopticon: how does AI
surveillance transform educational norms? British Journal of Sociology of Education, 1–19.
https://doi.org/10.1080/01425692.2025.2501118
Davies, B., & Gannon, S. (2006). Doing collective biography: Investigating the production of subjectivity.
Open University Press.
Dixon, K. (2011). Implications for literacy education. In Literacy, Power, and the Schooled Body (pp.
–183). Routledge. https://doi.org/10.4324/9780203851487-14
Escalante, J., Pack, A., & Barrett, A. (2023). AI-generated feedback on writing: Insights into efficacy
and ENL student preference. International Journal of Educational Technology in Higher Education,
(1), 57–20. https://doi.org/10.1186/s41239-023-00425-2
Evmenova, A. S., Regan, K., Mergen, R., & Hrisseh, R. (2024). Improving writing feedback for struggling
writers: Generative AI to the rescue? TechTrends, 68(4), 790–802.
https://doi.org/10.1007/s11528-024-00965-y
Foucault, M. (1977). Discipline and punish: The birth of the prison (1st American edition). Pantheon
Books.
Fyfe, P. (2023). How to cheat on your final paper: Assigning AI for student writing. AI & Society, 38(4),
–1405. https://doi.org/10.1007/s00146-022-01397-z
Ghimire, A. (2025). Utilizing ChatGPT to integrate world English and diverse knowledge: A
transnational perspective in critical artificial intelligence (AI) literacy. Computers and
Composition, 75, 1-12. https://doi.org/10.1016/j.compcom.2024.102913
Gonçalves Dos Santos, M. (2024). The impact of artificial intelligence on teaching careers:
Pedagogical, administrative and ethical challenges and opportunities. International Journal of
Advanced Research, 12(10), 854-866. http://dx.doi.org/10.21474/IJAR01/19705
Kim, N.J. & Kim, M.K. (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
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations.
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, USA, 1-16.
https://doi.org/10.1145/3313831.3376727
Lingard, L. (2023). Writing with ChatGPT: An illustration of its capacity, limitations & implications
for academic writers. Perspectives on Medical Education, 12(1), 261-270.
https://doi.org/10.5334/pme.1072
Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the
content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2).
https://doi.org/10.1080/2331186X.2023.2236469
McKnight, L., & Shipp, C. (2024). “Just a tool”? Troubling language and power in generative AI writing.
English teaching: Practice and critique, 23(1), 23–35. https://doi.org/10.1108/ETPC-08-2023-
Nazaretsky, T., Ariely, M., Cukurova, M., & Alexandron, G. (2022). Teachers’ trust in AI-powered
educational technology and a professional development program to improve it. British Journal of
Educational Technology, 53(4), 914–931. https://doi.org/10.1111/bjet.13232
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An
exploratory review. Computers and education. Artificial Intelligence, 2, 1-11.
https://doi.org/10.1016/j.caeai.2021.100041
Noy, C. (2008). Sampling knowledge: The hermeneutics of snowball sampling in qualitative research.
International Journal of Social Research Methodology, 11(4), 327–344.
https://doi.org/10.1080/13645570701401305
Ott, M., Veselka, M., Hibbert, K., Cristancho, S., & Lingard, L. (accepted). “Maybe that’s the landscape
that’s
coming?”
The
emergence
of
writing
pedagogies
in
AI-mediated
learning
environments. Language & Literacy.
Relmasira, S. C., Lai, Y. C., & Donaldson, J. P. (2023). Fostering AI literacy in elementary science,
technology, engineering, art, and mathematics (STEAM) education in the age of generative AI.
Sustainability (Basel, Switzerland), 15(18), 1-25. https://doi.org/10.3390/su151813595
Ropers-Huilman, R., Winters, K.T., & Hakkola, L. (2016) Embodied minds: College women’s
experience and the panopticon of higher education. NASPA Journal About Women in Higher
Education, 9(2), 115-132, https://doi.org/10.1080/19407882.2016.1199384
Schiff, D. (2022). Education for AI, not AI for education: The role of education and ethics in national
AI policy strategies. International Journal of Artificial Intelligence in Education, 32(3), 527–563.
https://doi.org/10.1007/s40593-021-00270-2
Schneider, S. (2019). Artificial you: AI and the future of your mind. Princeton University Press.
https://doi.org/10.1515/9780691197777
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Su (苏嘉红), J., & Yang (杨伟鹏), W. (2023). Unlocking the power of ChatGPT: A framework for
applying generative AI in education. ECNU Review of Education (Online), 6(3), 355–366.
https://doi.org/10.1177/20965311231168423
Toncic, J. (2020). Teachers, AI grammar checkers, and the newest literacies: Emending writing
pedagogy and assessment. Digital Culture & Education, 12(1), 26-51.
https://www.digitalcultureandeducation.com/volume-12
Veselka, M., & Ott, M. (2025). “Bringing themselves into their writing”: Centering learner voice in
the age of AI. Contact, TESL Ontario. https://contact.teslontario.org/bringing-themselves-into-
their-writing-centering-learner-voice-in-the-age-of-ai/
Walker, A. (2019). Perusall: Harnessing AI robo-tools and writing analytics to improve student
learning and increase instructor efficiency. The Journal of Writing Analytics, 3(1), 227-263.
https://doi.org/10.37514/JWA-J.2019.3.1.11
Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory
investigation. Education and Information Technologies, 28(11), 13943–13967.
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