{
  "id": 5357,
  "url": "https://arxiv.org/abs/2604.23486v1",
  "title": "Your Students Don't Use LLMs Like You Wish They Did",
  "summary": "Educational NLP systems are typically evaluated using engagement metrics and satisfaction surveys, which are at best a proxy for meeting pedagogical goals. We introduce six computational metrics for automated evaluation of pedagogical alignment in student-AI dialogue. We validate our metrics through analysis of 12,650 messages across 500 conversations from four courses. Using our metrics, we identify a fundamental misalignment: educators design conversational tutors for sustained learning dialog",
  "authors": "Sebastian Kobler, Matthew Clemson, Angela Sun, Jonathan K. Kummerfeld",
  "category": "research",
  "topics": "safety-alignment,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-26T01:23:21.000Z",
  "fetched_at": "2026-07-14T16:31:40.222Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5357",
  "original_url": "https://arxiv.org/abs/2604.23486v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}