{
  "id": 14941,
  "url": "https://arxiv.org/abs/2607.28176v1",
  "title": "Integrating AI into Requirements Quality Learning in Software Engineering Education: A TPACK-Guided Empirical Study",
  "summary": "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",
  "authors": "Hansika Ekanayake Mudiyanselage, Rohan Jai Dharmaraj, Malik Abdul Sami, Zheying Zhang",
  "category": "research",
  "topics": "children-education,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-30T13:15:16.000Z",
  "fetched_at": "2026-07-31T05:10:57.675Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/14941",
  "original_url": "https://arxiv.org/abs/2607.28176v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}