{
  "id": 17363,
  "url": "https://arxiv.org/abs/2608.05898v1",
  "title": "Mapping the Emerging Curriculum for AI-Assisted Software Engineering via Syllabus Analysis",
  "summary": "As Generative AI coding tools reshape professional software development, universities have begun designing courses to prepare students for AI-assisted development workflows. By analyzing the syllabi of these courses, we can gather empirical evidence about these courses, reveal how this emerging curricular area is being defined, and gain guidance for future curriculum design. We analyzed 23 publicly available syllabi and course materials of upper-division, credit-bearing courses that meet specifi",
  "authors": "Francis Geng, Anshul Shah, Mia Chen, Paul Denny, Juho Leinonen, Bill Griswold, Gerald Soosai Raj, Leo Porter",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-06T11:24:10.000Z",
  "fetched_at": "2026-08-07T05:10:58.501Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17363",
  "original_url": "https://arxiv.org/abs/2608.05898v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}