Learning in the Panopticon: Examining the Potential Impacts of AI Monitoring on Students
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In a panopticon, people are intrusively monitored across all areas of their lives. AI monitoring has been ever more widely adopted in education, with increasingly intrusive monitoring of students. These changes potentially create ethical harms, but current ethical discussions predominantly focus on legal and governance issues. The concerns of the majority of users—namely students—are neglected. Overlooking students’ concerns further increases their vulnerability. We use a student-centred and speculative approach through the Story Completion Method (SCM) to explore how students would potentially respond to intrusive AI monitoring in a higher education setting. Our study included 71 participants who elaborated on the story stems we provided to them. Through a blending of thematic analysis coding and the techniques of developing grounded theory, we reveal that the common responses of students to extensive AI monitoring included impacts on personal psychology, changed behaviour, and cognition. There are likely major disruptions to personal autonomy, identity and educational relationships. If we are to avoid a future ‘big brother’ classroom, further investigations using HCI methods are critical to understanding how to protect students in AI-dominated learning.
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Discomfort from being observed by AIEd may trigger behavioural change and undermine the technology's effectiveness.
“For instance, discomfort from being observed by AIEd may trigger behavioural change [53] and undermine the technology's effectiveness [54].”
From AI Sensing and Intervention in Higher Education: Student Perceptions of Learning Impacts, Affective Responses, and Ethical Priorities (2026) · cites this paper as [53]
Existing technology acceptance scales were not suitable to capture the specific affective and pedagogical concerns raised in prior observational and qualitative studies of AIEd systems.
“Existing technology acceptance scales (e.g., [73]) were not suitable to capture the specific affective and pedagogical concerns raised in prior observational and qualitative studies of AIEd systems (e.g., [53, 56]).”
From AI Sensing and Intervention in Higher Education: Student Perceptions of Learning Impacts, Affective Responses, and Ethical Priorities (2026) · cites this paper as [53]
The mechanism of sensing that promises personalised, responsive teaching also risks undermining students' learning experiences.
“Thus, the very mechanism of sensing that promises personalised, responsive teaching also risks undermining students' learning experiences [53, 56].”
From AI Sensing and Intervention in Higher Education: Student Perceptions of Learning Impacts, Affective Responses, and Ethical Priorities (2026) · cites this paper as [53]
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Cited by
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Han, B., Nawaz, S., Buchanan, G., & McKay, D. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00456-4 · Cited by 32 · see citing works
Self-citationHan, B., Ma, Y., Coghlan, S., McKay, D., Buchanan, G., & Smith, W. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790360 · Cited by 3 · see citing works
“This research offers early insights into emotional and pedagogical concerns about AIEd, pointing to heightened anxiety and disrupted learning [55, 89] and pedagogical interactions [53, 86, 135].”
InfluentialSelf-citation
- Authors
- Han, B., Buchanan, G., & Mckay, D.
- Affiliations
- The University of Melbourne (AU)
- RMIT University (AU)
- Venue
- Proceedings of the 34th Australian Conference on Human-Computer Interaction
- Publisher
- ACM
- Published
- 2022-11-29
- Pages
- 9-21
- OpenAlex
- W4362682549
- Cited by
- 20
- References
- 3
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 7 · 2023: 2
- FWCI
- 3.13
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Australian Conference on Human-Computer Interaction (OzCHI) (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Digital Education and Society
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- panopticon, student privacy, surveillance in higher education, student independence, speculative design, student identity, teacher-student relationship
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