Conference Paper/Proceeding/Abstract 95 views 8 downloads
Assessing Software Engineering Students' Analytical Skills in the Era of Generative AI
Proceedings of the 9th Conference on Computing Education Practice, Pages: 34 - 34
Swansea University Authors:
Olga Petrovska , Lee Clift
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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 |
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ISBN: | 979-8-4007-1172-5 |
Published: |
New York, NY, USA
ACM
2025
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68730 |
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2025-01-23T16:50:56Z |
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2025-02-28T05:34:04Z |
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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 |
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3f0bf84d3c8d15113f3f0da0aab6b783_***_Olga Petrovska 58d8505705a12aa26b51527e01bbd15a_***_Lee Clift |
author |
Olga Petrovska Lee Clift |
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Olga Petrovska Rebecca Pearsall Lee Clift |
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Conference Paper/Proceeding/Abstract |
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Proceedings of the 9th Conference on Computing Education Practice |
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Swansea University |
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979-8-4007-1172-5 |
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10.1145/3702212.3702223 |
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ACM |
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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 |
2025-01-07T08:16:47Z |
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1827915649659174912 |
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11.055693 |