{
  "id": 1365,
  "url": "https://arxiv.org/abs/2606.07270v1",
  "title": "Two-Phase Simulated Annealing for Equitable Team Formation: Eliminating Complaints in Large Engineering Cohorts",
  "summary": "Contribution: This paper presents a novel two-phase algorithmic approach that decouples preference satisfaction from fairness optimization in student team formation, achieving both objectives without compromise. The method applies simulated annealing -- a core materials science technique -- to an educational challenge, demonstrating pedagogical integration of administrative processes. Background: Forming effective teams in large engineering cohorts (100+ students) requires balancing student pref",
  "authors": "Yiwei Sun, Xinru Deng, Dimitrios G Papageorgiou",
  "category": "research",
  "topics": "bias-fairness,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-05T13:44:35.000Z",
  "fetched_at": "2026-07-14T14:15:12.458Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1365",
  "original_url": "https://arxiv.org/abs/2606.07270v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}