{
  "id": 2328,
  "url": "https://www.sciencedirect.com/science/article/pii/S2666920X26000627?dgcid=rss_sd_all",
  "title": "Predicting and explaining professionalism issues in medical students with time-to-event models: An exploratory longitudinal learning analytics study",
  "summary": "Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Chang Cai, Minyang Chow, Ruth Choe, Faith Chia Li-Ann, Jennifer Anne Cleland, Xiuyi Fan",
  "authors": null,
  "category": "research",
  "topics": "healthcare,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-14T16:11:46.979Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-computers-and-education-artificial-intel",
  "source_name": "Computers and Education: Artificial Intelligence",
  "source_homepage": "https://www.sciencedirect.com/journal/computers-and-education-artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/2328",
  "original_url": "https://www.sciencedirect.com/science/article/pii/S2666920X26000627?dgcid=rss_sd_all",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}