{
  "id": 5447,
  "url": "https://arxiv.org/abs/2604.21733v1",
  "title": "Enabling and Inhibitory Pathways of University Students' Willingness to Disclose AI Use: A Cognition-Affect-Conation Perspective",
  "summary": "The increasing integration of artificial intelligence (AI) in higher education has raised important questions regarding students' transparency in reporting AI-assisted work. This study investigates the psychological mechanisms underlying university students' willingness to disclose AI use by applying the Cognition--Affect--Conation (CAC) framework. A sequential explanatory mixed-methods design was employed. In the quantitative phase, survey data were collected from 546 university students and an",
  "authors": "Yiran Du, Huimin He",
  "category": "research",
  "topics": "children-education,transparency,finance-investment",
  "orgs": null,
  "regions": "china",
  "published_at": "2026-04-23T14:38:15.000Z",
  "fetched_at": "2026-07-14T16:31:44.626Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5447",
  "original_url": "https://arxiv.org/abs/2604.21733v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}