Cipriano, Bruno Pereira, Petrovska, Olga, Pombo, Nuno, Battestilli, Lina, Farinetti, Laura, Glassey, Richard, Kasinidou, Maria, Olayinka, Olakunle, Shah, Anshul, Steinmaurer, Alexander, Vaidhiyanathan, Ramalakshmi and James, Weichert
2026.
Towards improving CS Students' Generative AI literacy.
Presented at: ITiCSE 2026: ACM Conference on Innovation and Technology in Computer Science Education,
Madrid, Spain,
10-15 July 2026.
ITiCSE 2026: Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 2.
New York:
ACM,
pp. 789-790.
10.1145/3803401.3812055
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Abstract
The widespread adoption of Generative AI (GenAI) tools by students across different educational levels highlights the need for them to develop robust GenAI literacy, including a working understanding of these systems' fundamental concepts, their limitations, and implications for responsible use. However, misconceptions about GenAI, such as perceiving these systems as mere search engines or database lookup systems, are commonly observed among students, while the availability of teaching resources remains fragmented, and learning objectives lack alignment. This Working Group aims to design pedagogical resources for computing science instructors, enabling them to develop students' GenAI literacy. To achieve this, the Working Group will first identify a concise set of GenAI literacy learning objectives informed by instructor experience, research literature, and community input, and subsequently design pedagogical resources aligned with these objectives.
| Item Type: | Conference or Workshop Item - published (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Publisher: | ACM |
| ISBN: | 9798400726330 |
| Date of First Compliant Deposit: | 17 July 2026 |
| Last Modified: | 02 Aug 2026 00:20 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/188208 |
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