Reframing classroom sensing: promise and peril
Open accessAbstract
Should we put cameras in every classroom?At first glance, this may sound like a dystopian nightmare set in a surveillance state.And yet, with careful deployment and strong regulations in place for data use, I argue that such an approach could help us avoid a future where students constantly have their heads buried in a device.At the same time, it could enable teachers to get the feedback they currently lack to make continuous improvements to their teaching and to the classroom environment-and even to do their own action research.Researchers and practitioners in learning science, privacy, and ICT must come together to build frameworks that will protect students and teachers, and shape this positive future.In this article, I discuss why this approach is needed, who benefits from it, and how we're building systems that improve education. WHAT TECHNOLOGY CAN DO FOR EDUCATIONHerb Simon, the godfather of artificial intelligence and a multi-award-winning teacher, observed the following truth about the teaching and learning process: "A teacher can advance learning only by influencing what the student does to learn."Influencing what the student does is, at heart, a cycle of detection and intervention-observing and interpreting before acting.To be able to provide the right intervention that guides the next steps in the learner's development, an instructor must know quite a lot about what is happening in any given learning situation.This detection process is hard.In the Insights → Classroom sensing has great potential as a tool for teacher professional development.→ We must develop appropriate frameworks to address privacy and data use concerns.
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Crucial AI ethics considerations are equally underexamined in AIEd.
“Crucial AI ethics considerations are equally underexamined in AIEd [60, 103].”
From AI Sensing and Intervention in Higher Education: Student Perceptions of Learning Impacts, Affective Responses, and Ethical Priorities (2026) · cites this paper as [103]
In ETHICS AND FAIRNESS, Ogan says serious ethics and fairness questions about classroom sensing still need close examination, including who can access and benefit from the data. CAUTIONARY TALES also describes a lack of frameworks to guide its use. These passages support the concern for classroom sensing, but do not establish that AI ethics considerations are underexamined across AIEd generally. (LLM, conf=0.83)
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The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms
An, P., Holstein, K., d'Anjou, B., Eggen, B., & Bakker, S. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376277 · Cited by 69 · see citing works
Han, 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
- Authors
- Ogan, A.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- Ogan, Amy
- ORCID
- Ogan, Amy
- Venue
- Interactions
- Published
- 2019-10-30
- Volume
- 26
- Issue
- 6
- Pages
- 26-32
- ISSN
- 1072-5520 (ISSN-L)
- 1558-3449
- OpenAlex
- W2986331430
- Cited by
- 28
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 4
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- interactions (publishedVersion)
- Funders
- National Science Foundation (1928955)
- James S. McDonnell Foundation
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Information Systems › Digital Education and Society
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
- Keywords
- educational technology, teacher feedback, teacher professional development, student privacy, school surveillance, learning analytics, teacher action research
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