{
  "id": 14111,
  "url": "https://arxiv.org/abs/2606.30860",
  "title": "Less Deliberate in Teams: Student LLM Use Across Individual and Collaborative Work",
  "summary": "arXiv:2606.30860v2 Announce Type: replace Abstract: As large language models (LLMs) become common in computing courses, we need to understand how the social setting shapes how students use them. This paper reports findings from a semester-long study of 96 undergraduate students who completed six assignments, alternating between individual homework and team project milestones. We tracked LLM usage, prompting habits, and how students verified AI-generated output across all six assignments. LLM usa",
  "authors": "Sehrish Basir Nizamani, Zannah Ziew, Saad Nizamani, Khyati Goyal",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-29T04:00:00.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "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/14111",
  "original_url": "https://arxiv.org/abs/2606.30860",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}