Learning Agile with Generative AI: Student Experiences in a Project-Based Course
DOI:
https://doi.org/10.5324/681a9k25Keywords:
AI in education, Large Language Models, Generative AI, Computer science education, Project-based learning, Agile, Scrum MasterAbstract
This exploratory study investigates how students experience the use of Generative AI (GenAI) in a project-based Agile course within higher education. Through a combination of interviews and survey, we examine how GenAI tools support learning, decision-making, and team dynamics. Our findings point out that students used GenAI primarily for understanding and applying Agile practices, validating decisions, and fostering teamwork. For some students, GenAI served as a scaffold for applying theory to practice, and boosted their confidence. We conclude that GenAI can be effectively integrated into project-based learning, provided that students receive guidance on responsible use and evaluation. We offer implications for teaching strategies and contribute to emerging discussions on GenAI in high education.
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Copyright (c) 2025 Rolando Gonzalez, Per Lauvås Jr, Marculescu Bogdan, Jefferson Seide Molléri, Hanne Søruem

This work is licensed under a Creative Commons Attribution 4.0 International License.