{
  "id": 14112,
  "url": "https://arxiv.org/abs/2607.21534",
  "title": "Generative AI Availability, Grades, and Student Satisfaction at a Large University",
  "summary": "arXiv:2607.21534v2 Announce Type: replace Abstract: The spread of generative AI (GenAI) in higher education has raised concerns that students offload cognitive effort to AI, earning high grades without learning. If this \"GenAI substitution hypothesis\" is true, grades should rise disproportionately in GenAI-susceptible courses--those relying more on assessments like take-home problem sets and essays rather than in-class exams. Substitution could also affect student satisfaction, measured here as",
  "authors": "James M. Zumel Dumlao, Meng Wang, Zhonghan Xie, Junyao Hu, Ivan Bar, George Chaney III, Henry Gold, Misha Teplitskiy",
  "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/14112",
  "original_url": "https://arxiv.org/abs/2607.21534",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}