{
  "id": 17754,
  "url": "https://arxiv.org/abs/2608.06572",
  "title": "Accelerating Accurate Assignment Authoring Using Solution-Generated Autograders",
  "summary": "arXiv:2608.06572v1 Announce Type: new Abstract: Students learning to program benefit from access to large numbers of practice problems. Autograders are commonly used to support programming questions by providing quick feedback on submissions. But authoring accurate autograders remains challenging. Autograders are frequently created by enumerating test cases--a tedious process that can produce inaccurate autograders that fail to correctly classify submissions. When authoring accurate autograders",
  "authors": "Geoffrey Challen, Ben Nordick",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T04:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "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/17754",
  "original_url": "https://arxiv.org/abs/2608.06572",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}