{
  "id": 17024,
  "url": "https://arxiv.org/abs/2607.05412",
  "title": "Why does AI unlock new possibilities in STEM education? A Bibliometric Analysis of Trends and Future Agenda",
  "summary": "arXiv:2607.05412v2 Announce Type: replace Abstract: STEM education faces challenges in personalization and interdisciplinary integration. AI technology has brought new possibilities, but the mechanisms by which AI reshapes the STEM education ecosystem require systematic investigation. This study employs bibliometric methods to analyze 242 publications from 2015-2025, constructing knowledge maps to reveal the evolutionary trajectory. The findings show that the field has transformed from intellige",
  "authors": "Jesse Yusuf Chan (Zexi Chen), Mengyao Chen, Yang Hong, Ziyun Song, Haoming Wang, Xianlong Xu",
  "category": "research",
  "topics": "children-education,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-07T04:00:00.000Z",
  "fetched_at": "2026-08-07T05:10:58.501Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17024",
  "original_url": "https://arxiv.org/abs/2607.05412",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}