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 structure
Record details
Published: 30 July 2026
Source: arXiv
Category: Research
Topics: Children & education · Agents & autonomy
Retrieved: 31 July 2026
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ethics.ai (30 July 2026), “Integrating AI into Requirements Quality Learning in Software Engineering Education: A TPACK-Guided Empirical Study,” evidence record 14941, https://ethics.ai/record/14941 (originally published by arXiv).
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