{
  "id": 18288,
  "url": "https://arxiv.org/abs/2608.08852v1",
  "title": "Findings of the First Teaching Monster Challenge: A Benchmark of Pedagogical Content Knowledge in AI Agents",
  "summary": "AI agents can now solve problems, answer like subject experts, and generate long-form multimodal content. However, whether they can adapt a lesson to fit a specified learner, which education calls Pedagogical Content Knowledge (PCK), has not been benchmarked. To measure it, we introduce the Teaching Monster Challenge, the first instructional video generation benchmark to treat the learner persona as an explicit evaluation criterion. Each system is given a topic and a learner persona and must gen",
  "authors": "Yi-Cheng Lin, Yu-Kai Guo, Szu-Chi Chen, Bo-Han Feng, Yun-Man Hsu, Hsiang Hsieh, Yu-Jung Lin, Yue-Ling Wu, Jia-Kai Dong, An-Yu Cheng, Yu-Han Huang, Lok-Lam Ieong, Kuan-Yu Chen, Ming-Douo Tchouang, Shao-Hua Sun, Che Lin, Jian-Jiun Ding, Hung-yi Lee",
  "category": "research",
  "topics": "children-education,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-09T18:28:01.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18288",
  "original_url": "https://arxiv.org/abs/2608.08852v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}