{
  "id": 15638,
  "url": "https://arxiv.org/abs/2607.28710",
  "title": "Structured AI Demonstrations and Student LLM Use in Engineering Mechanics: Study Design and Preliminary Results",
  "summary": "arXiv:2607.28710v1 Announce Type: new Abstract: The rapid integration of large language models (LLMs) into undergraduate education presents an urgent challenge for engineering instructors. Despite widespread student adoption, there remains a critical lack of domain-specific empirical evidence to guide pedagogical policies and classroom interventions. This manuscript presents a descriptive study design and preliminary findings from an undergraduate engineering mechanics course conducted in Spring",
  "authors": "Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, Emma Lejeune",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-03T04:00:00.000Z",
  "fetched_at": "2026-08-03T05:10:47.622Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/15638",
  "original_url": "https://arxiv.org/abs/2607.28710",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}