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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
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 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.
College: Faculty of Science and Engineering
Funders: Partially funded by the European Union’s DIGITAL-2021-SKILLS-01 Programme under grant agreement no. 101083594.
Start Page: 61
End Page: 107