Stone, Irene
ORCID: 0009-0009-3769-1160
(2025)
Ethical Generative AI Use with Novice Programmers: Co-Created
Heuristics, Including the SAV Framework.
In: UKICER '25, 4th-5th September, 2025, Edinburgh.
ISBN 9798400720789
Abstract
This research, conducted in an upper post-primary Computer Science classroom, explores how students learning Python engaged
with ChatGPT. A key output of the study was the co-creation, with
students, of heuristics (guiding principles) to support the ethical and
effective use of ChatGPT while learning to program. These include:
(i) a general set to support learning in contexts where generative AI
is available, and (ii) the SAV framework (Specify the problem, Ask
again, Verify the output), a specific set for engaging with ChatGPT.
These heuristics are presented as working prototypes.
Metadata
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Uncontrolled Keywords: | artificial intelligence; ChatGPT; CS1; design-based research; generative AI; heuristics; human-centered; novice programming; python; second-level; student-centred |
| Subjects: | Computer Science > Artificial intelligence |
| DCU Faculties and Centres: | Research Institutes and Centres > National Centre for Sensor Research (NCSR) |
| Published in: | UKICER '25: Proceedings of the 2025 Conference on UK and Ireland Computing Education Research. . Association for Computing Machinery. ISBN 9798400720789 |
| Publisher: | Association for Computing Machinery |
| Official URL: | https://dl.acm.org/doi/10.1145/3754508.3754525 |
| Copyright Information: | Author |
| ID Code: | 32292 |
| Deposited On: | 23 Feb 2026 11:33 by Irene Stone . Last Modified 23 Feb 2026 11:33 |
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