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Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI

Olga Petrovska Orcid Logo, Rebecca Pearsall Orcid Logo, Lee Clift Orcid Logo

Proceedings of the 9th Conference on Computing Education Practice, Pages: 34 - 34

Swansea University Authors: Olga Petrovska Orcid Logo, Lee Clift Orcid Logo

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DOI (Published version): 10.1145/3702212.3702223

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.

Published in: Proceedings of the 9th Conference on Computing Education Practice
ISBN: 979-8-4007-1172-5
Published: New York, NY, USA ACM 2025
URI: https://cronfa.swan.ac.uk/Record/cronfa68730
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.
Keywords: generative AI, software engineering, education, apprenticeship
College: Faculty of Science and Engineering
Start Page: 34
End Page: 34