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Conference Paper/Proceeding/Abstract 44 views

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
Published: New York, NY, USA ACM 2025
Online Access: https://doi.org/10.1145/3702212.3702223
URI: https://cronfa.swan.ac.uk/Record/cronfa68730
first_indexed 2025-01-23T16:50:56Z
last_indexed 2025-01-23T20:50:17Z
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recordtype SURis
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spelling 2025-01-23T16:50:55.1282091 v2 68730 2025-01-23 Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI 3f0bf84d3c8d15113f3f0da0aab6b783 0000-0003-1170-8816 Olga Petrovska Olga Petrovska true false 58d8505705a12aa26b51527e01bbd15a 0000-0002-8313-9934 Lee Clift Lee Clift true false 2025-01-23 MACS 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. Conference Paper/Proceeding/Abstract Proceedings of the 9th Conference on Computing Education Practice 34 34 ACM New York, NY, USA 7 1 2025 2025-01-07 10.1145/3702212.3702223 https://doi.org/10.1145/3702212.3702223 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2025-01-23T16:50:55.1282091 2025-01-23T16:44:29.2555802 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Olga Petrovska 0000-0003-1170-8816 1 Rebecca Pearsall 0009-0002-1857-3264 2 Lee Clift 0000-0002-8313-9934 3
title Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI
spellingShingle Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI
Olga Petrovska
Lee Clift
title_short Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI
title_full Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI
title_fullStr Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI
title_full_unstemmed Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI
title_sort Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI
author_id_str_mv 3f0bf84d3c8d15113f3f0da0aab6b783
58d8505705a12aa26b51527e01bbd15a
author_id_fullname_str_mv 3f0bf84d3c8d15113f3f0da0aab6b783_***_Olga Petrovska
58d8505705a12aa26b51527e01bbd15a_***_Lee Clift
author Olga Petrovska
Lee Clift
author2 Olga Petrovska
Rebecca Pearsall
Lee Clift
format Conference Paper/Proceeding/Abstract
container_title Proceedings of the 9th Conference on Computing Education Practice
container_start_page 34
publishDate 2025
institution Swansea University
doi_str_mv 10.1145/3702212.3702223
publisher ACM
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url https://doi.org/10.1145/3702212.3702223
document_store_str 0
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description 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_date 2025-01-07T08:26:46Z
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score 11.052532