Agency for Whom and To What Ends: A Plan for Investigating Impacts of Agentic AI in Computing Education
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Mak, Janice
Clear, Tony
Zhu, Tingting
Clear, Alison
Andrei, Oana
Goodfellow, Martin
Imbulpitiya, Asanthika
Oladapo, Elizabeth
Padiyath, Aadarsh
Pow-Sang, Jose Antonio
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ACM
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Agentic AI, where AI systems have their own forms of agency, will present some of the most critical challenges that computing education will face, including regulatory gaps and amplified cascading social and ethical impacts. This working group proposes a landscape analysis of the ethical and societal implications of using Agentic AI in higher computing education. By exploring emerging literature and use cases of Agentic AI, we aim to contribute a timely landscape study exploring 1) the emerging challenges and opportunities associated with Agentic AI, 2) how higher education is beginning to adopt and use Agentic AI and the resulting ethical and societal impacts, and 3) the implications (e.g. challenges, opportunities, limitations) of integrating Agentic AI in computing education. The expected outputs are: 1) a protocol and literature scoping review of Agentic AI in education, and 2) an analysis of current practices and use cases in computing education. Together, these outputs aim to identify emerging patterns, use cases, key challenges, and principles to support the ethical and responsible integration of Agentic AI in education.
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ITiCSE 2026: Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 2. Pages 779 - 780. ISBN: 9798400726330
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Copyright © 2026 Owner/Author
Copyright © 2026 Owner/Author
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Except where otherwise noted, this item's license is described as CC-BY Creative Commons Attribution