Integrating AI into Requirements Quality Learning in Software Engineering Education: A TPACK-Guided Empirical Study
The rapid adoption of generative Artificial Intelligence (AI) in software engineering (SE) practice creates a need for pedagogically grounded approaches to AI integration in SE education, especially in conceptually intensive subjects such as requirements engineering (RE). This study examines a TPACK-guided integration of a multi-agent AI tool into a master-level RE assignment on requirements quality analysis. Using a mixed-methods design (N=100; 72 submissions analysed), we examine how structured assignment design shaped students' AI use, affected their understanding of user story quality criteria, and influenced their perceptions of AI's benefits and limitations. Results show that studen...
| Authors | Hansika Ekanayake Mudiyanselage, Rohan Jai Dharmaraj, Malik Abdul Sami et al. |
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| Primary category | cs.SE |
| Published | 30 July 2026 |
| Last updated at source | 30 July 2026 |
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