{
  "id": 7096,
  "url": "https://arxiv.org/abs/2603.17060v2",
  "title": "LLM Use, Cheating, and Academic Integrity in Software Engineering Education",
  "summary": "Background: Cheating in university education is commonly described as context dependent and influenced by assessment design, institutional norms, and student interpretation. In software engineering education, programming oriented coursework has historically involved ambiguity around collaboration, reuse, and external assistance. Recently, large language models (LLMs) have introduced additional mediation in the production of code and related artifacts. Aims: This study investigates how software e",
  "authors": "Ronnie de Souza Santos, Italo Santos, Mariana Bento, Giuseppe Destefanis, Cleyton Magalhães, Mairieli Wessel",
  "category": "research",
  "topics": "children-education,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-17T18:48:33.000Z",
  "fetched_at": "2026-07-14T16:32:59.164Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7096",
  "original_url": "https://arxiv.org/abs/2603.17060v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}