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Lookup NU author(s): Dr Ahmed KharrufaORCiD, Sami Alghamdi, Abeer Aziz, Dr Christopher BullORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
This work takes a pedagogical lens to explore the implications of generative AI (GenAI) models and tools, such as ChatGPT and GitHub Copilot, in a semester-long 2nd-year undergraduate Software Engineering Team Project. Qualitative findings from a survey (39 students) and interviews (eight students) provide insights into the students’ views on the impact of GenAI use on their coding experience, learning, and self-efficacy. Our results address a particular gap in understanding the role and implications of GenAI on teamwork, team-efficacy, and team dynamics. The analysis of the learning aspects is distinguished by the application of learning- and pedagogy-informed lenses to discuss the data. We propose a preliminary design space for GenAI-based programming learning tools highlighting the importance of considering the roles that GenAI can play during the learning process, the scaffolding support that can be applied to each role, and the importance of supporting transparency in GenAI for team members and students in addition to educators.
Author(s): Kharrufa A, Alghamdi S, Aziz A, Bull C
Publication type: Article
Publication status: Published
Journal: ACM Transactions on Computing Education
Year: 2026
Volume: 26
Issue: 2
Print publication date: 17/01/2026
Online publication date: 04/12/2025
Acceptance date: 20/11/2025
Date deposited: 21/01/2026
ISSN (print): 1549-6325
ISSN (electronic): 1946-6226
Publisher: Association for Computing Machinery
URL: https://doi.org/10.1145/3779296
DOI: 10.1145/3779296
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