{
  "id": 7507,
  "url": "https://arxiv.org/abs/2603.26679v1",
  "title": "AI Meets Mathematics Education: A Case Study on Supporting an Instructor in a Large Mathematics Class with Context-Aware AI",
  "summary": "Large-enrollment university courses face persistent challenges in providing timely and scalable instructional support. While generative AI holds promise, its effective use depends on reliability and pedagogical alignment. We present a human-centered case study of AI-assisted support in a Calculus I course, implemented in close collaboration with the course instructor. We developed a system to answer students' questions on a discussion forum, fine-tuning a lightweight language model on 2,588 hist",
  "authors": "Jérémy Barghorn, Anna Sotnikova, Sacha Friedli, Antoine Bosselut",
  "category": "research",
  "topics": "safety-alignment,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-09T10:59:52.000Z",
  "fetched_at": "2026-07-14T16:33:16.669Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7507",
  "original_url": "https://arxiv.org/abs/2603.26679v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}