Learning Agile with Generative AI: Student Experiences in a Project-Based Course

Authors

DOI:

https://doi.org/10.5324/681a9k25

Keywords:

AI in education, Large Language Models, Generative AI, Computer science education, Project-based learning, Agile, Scrum Master

Abstract

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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Published

2025-11-26

How to Cite

[1]
“Learning Agile with Generative AI: Student Experiences in a Project-Based Course”, NIKT, vol. 37, no. 4, Nov. 2025, doi: 10.5324/681a9k25.