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The Rest of the Robots: Generative AI in Post-introductory Computing Education

Dennis J. Bouvier Orcid Logo, Bruno Pereira Cipriano Orcid Logo, Richard Glassey Orcid Logo, Olga Petrovska Orcid Logo, Emma Anderson Orcid Logo, Anastasiia Birillo Orcid Logo, Ryan Dougherty Orcid Logo, Raymond Pettit Orcid Logo, Nuno Pombo Orcid Logo, Ebrahim Rahimi Orcid Logo, Charanya Ramakrishnan Orcid Logo, Alexander Steinmaurer Orcid Logo, Shubbhi Taneja Orcid Logo, Muhammad Usman Orcid Logo, Annapurna Vadaparty Orcid Logo

Proceedings of the 2025 Working Group Reports on Innovation and Technology in Computer Science Education, Pages: 61 - 107

Swansea University Author: Olga Petrovska Orcid Logo

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DOI (Published version): 10.1145/3760545.3783970

Abstract

Generative AI (GenAI) is playing an increasingly influential role in computing education across all levels, offering new opportunities to support both teaching and learning. However, its effective integration raises critical concerns related to trust, academic integrity, and broader social and ethic...

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Published in: Proceedings of the 2025 Working Group Reports on Innovation and Technology in Computer Science Education
ISBN: 979-8-4007-2167-0
Published: New York, NY, USA ACM 2026
URI: https://cronfa.swan.ac.uk/Record/cronfa71419
first_indexed 2026-02-13T15:34:19Z
last_indexed 2026-03-17T05:37:10Z
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spelling 2026-03-16T14:56:32.5811839 v2 71419 2026-02-13 The Rest of the Robots: Generative AI in Post-introductory Computing Education 3f0bf84d3c8d15113f3f0da0aab6b783 0000-0003-1170-8816 Olga Petrovska Olga Petrovska true false 2026-02-13 MACS Generative AI (GenAI) is playing an increasingly influential role in computing education across all levels, offering new opportunities to support both teaching and learning. However, its effective integration raises critical concerns related to trust, academic integrity, and broader social and ethical implications. While substantial attention has been given to GenAI use in introductory programming courses (e.g., CS0/CS1), there remains a notable gap in research addressing its application in ''upper-level'' computing courses, such as software engineering, human-computer interaction, algorithms, operating systems, and theoretical computer science. This working group report presents two complementary studies: a systematic literature review of GenAI interventions in upper-level computing education, and a survey of computing instructors on their practices and perspectives regarding GenAI integration in these contexts. Based on the combined findings, this report presents an overview of current practice and practical guidance for computing instructors. The report is intended to inform the design of engaging, pedagogically sound, and forward-looking curricula that align with modern educational and workforce standards and expectations. Conference Paper/Proceeding/Abstract Proceedings of the 2025 Working Group Reports on Innovation and Technology in Computer Science Education 61 107 ACM New York, NY, USA 979-8-4007-2167-0 12 2 2026 2026-02-12 10.1145/3760545.3783970 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Another institution paid the OA fee Partially funded by the European Union’s DIGITAL-2021-SKILLS-01 Programme under grant agreement no. 101083594. 2026-03-16T14:56:32.5811839 2026-02-13T15:25:54.7739693 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Dennis J. Bouvier 0000-0002-3053-4850 1 Bruno Pereira Cipriano 0000-0002-2017-7511 2 Richard Glassey 0000-0002-8996-0221 3 Olga Petrovska 0000-0003-1170-8816 4 Emma Anderson 0000-0002-3051-469x 5 Anastasiia Birillo 0000-0003-2269-8211 6 Ryan Dougherty 0000-0003-1739-1127 7 Raymond Pettit 0000-0001-9675-025x 8 Nuno Pombo 0000-0001-7797-8849 9 Ebrahim Rahimi 0000-0003-1916-4024 10 Charanya Ramakrishnan 0009-0009-7704-5868 11 Alexander Steinmaurer 0000-0002-1760-2855 12 Shubbhi Taneja 0000-0002-2403-9407 13 Muhammad Usman 0000-0002-8132-0107 14 Annapurna Vadaparty 0009-0002-4370-764x 15 71419__36423__33465df5b0874e07bffcf8f2cb60a886.pdf 71419.VoR.pdf 2026-03-16T14:46:45.7383191 Output 2520508 application/pdf Version of Record true © 2025 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution-Non Commercial No Derivatives 4.0 International License. true eng https://creativecommons.org/licenses/by-nc-nd/4.0
title The Rest of the Robots: Generative AI in Post-introductory Computing Education
spellingShingle The Rest of the Robots: Generative AI in Post-introductory Computing Education
Olga Petrovska
title_short The Rest of the Robots: Generative AI in Post-introductory Computing Education
title_full The Rest of the Robots: Generative AI in Post-introductory Computing Education
title_fullStr The Rest of the Robots: Generative AI in Post-introductory Computing Education
title_full_unstemmed The Rest of the Robots: Generative AI in Post-introductory Computing Education
title_sort The Rest of the Robots: Generative AI in Post-introductory Computing Education
author_id_str_mv 3f0bf84d3c8d15113f3f0da0aab6b783
author_id_fullname_str_mv 3f0bf84d3c8d15113f3f0da0aab6b783_***_Olga Petrovska
author Olga Petrovska
author2 Dennis J. Bouvier
Bruno Pereira Cipriano
Richard Glassey
Olga Petrovska
Emma Anderson
Anastasiia Birillo
Ryan Dougherty
Raymond Pettit
Nuno Pombo
Ebrahim Rahimi
Charanya Ramakrishnan
Alexander Steinmaurer
Shubbhi Taneja
Muhammad Usman
Annapurna Vadaparty
format Conference Paper/Proceeding/Abstract
container_title Proceedings of the 2025 Working Group Reports on Innovation and Technology in Computer Science Education
container_start_page 61
publishDate 2026
institution Swansea University
isbn 979-8-4007-2167-0
doi_str_mv 10.1145/3760545.3783970
publisher ACM
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hierarchy_parent_id facultyofscienceandengineering
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department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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description Generative AI (GenAI) is playing an increasingly influential role in computing education across all levels, offering new opportunities to support both teaching and learning. However, its effective integration raises critical concerns related to trust, academic integrity, and broader social and ethical implications. While substantial attention has been given to GenAI use in introductory programming courses (e.g., CS0/CS1), there remains a notable gap in research addressing its application in ''upper-level'' computing courses, such as software engineering, human-computer interaction, algorithms, operating systems, and theoretical computer science. This working group report presents two complementary studies: a systematic literature review of GenAI interventions in upper-level computing education, and a survey of computing instructors on their practices and perspectives regarding GenAI integration in these contexts. Based on the combined findings, this report presents an overview of current practice and practical guidance for computing instructors. The report is intended to inform the design of engaging, pedagogically sound, and forward-looking curricula that align with modern educational and workforce standards and expectations.
published_date 2026-02-12T05:29:57Z
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score 11.100184

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