{
  "id": 4872,
  "url": "https://arxiv.org/abs/2605.05598v1",
  "title": "Prober.ai: Gated Inquiry-Based Feedback via LLM-Constrained Personas for Argumentative Writing Development",
  "summary": "The proliferation of large language models (LLMs) in educational settings has paradoxically undermined the cognitive processes they purport to support. Students increasingly outsource critical thinking to AI assistants that generate polished text on demand, resulting in measurable cognitive debt and diminished argumentative reasoning skills. We present Prober.ai, a web-based writing environment that inverts the conventional AI-tutoring paradigm: rather than generating or rewriting student text, ",
  "authors": "Ran Bi, Shiyao Wei, Yuanyiyi Zhou",
  "category": "research",
  "topics": "children-education,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-07T02:32:01.000Z",
  "fetched_at": "2026-07-14T16:31:21.930Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4872",
  "original_url": "https://arxiv.org/abs/2605.05598v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}