{
  "id": 374,
  "url": "https://arxiv.org/abs/2607.00274v1",
  "title": "SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework",
  "summary": "Effective writing feedback is among the strongest drivers of student learning, yet producing it at scale is labor-intensive. LLMs offer a natural path to scaling writing support, but two gaps stand in the way: few public corpora capture how instructors actually deliver feedback in real classrooms, and no reliable method measures whether generated feedback aligns with what an instructor would write. We address both. SEFORA is a public corpus pairing instructor inline feedback with assignment prom",
  "authors": "Shayan Peyghambari Oskoui, Norah Almousa, Zhaoyi Joey Hou, Carolina Gustafson, Gayle Rogers, Raquel Coelho et al.",
  "category": "research",
  "topics": "jobs-economy,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-30T23:48:15.000Z",
  "fetched_at": "2026-07-14T14:14:28.438Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/374",
  "original_url": "https://arxiv.org/abs/2607.00274v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}