Assessing software engineering students' analytical skills in the era of generative AI
Tools
Petrovska, Olga and Pearsall, Rebecca and Clift, Lee; Kallia, Maria and Crosby, Ryan, eds. (2025) Assessing software engineering students' analytical skills in the era of generative AI. In: CEP '25: Proceedings of the 9th Conference on Computing Education Practice. ACM Press, p. 34. ISBN 979-8-4007-1172-5 (https://doi.org/10.1145/3702212.3702223)
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Abstract
This poster showcases an assessment designed to develop and evaluate software engineering students’ code analysis skills. We demonstrate how students approached code analysis tasks when given multiple code samples created by a human and various AI tools.
ORCID iDs
Petrovska, Olga, Pearsall, Rebecca and Clift, Lee ORCID: https://orcid.org/0000-0002-8313-9934; Kallia, Maria and Crosby, Ryan-
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Item type: Book Section ID code: 91904 Dates: DateEvent7 January 2025PublishedSubjects: Education > Theory and practice of education > Higher Education Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 28 Jan 2025 16:21 Last modified: 28 Jan 2025 16:21 URI: https://strathprints.strath.ac.uk/id/eprint/91904
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