arXiv cs.CY· Shahan Ali Memon, Anna-Maria Gueorguieva, Anukriti Kumar, Lucy Lu Wang, Jevin D. West, Nic Weber·· 11 小时前AI 评分31
美国 35 州 K-12 教育 AI 指导文件对比分析：内容与引用来源研究
U.S. State Guidance on AI in K-12 Education: A Comparative Content and Citation Analysis
AI 导读
一项对 35 个州及波多黎各 K-12 教育 AI 使用指导文件的分析发现，数据隐私与学术诚信在 97% 的文件中被提及，86% 强调公平获取与劳动力准备，但针对边缘群体的具体指导较少。各州优先事项与人口结构、行政能力或党派立场无关，而是通过引用 TeachAI 等非营利组织形成相互依赖，部分州近乎逐字复制其示范指南。没有任何州将家长列为文件贡献者，仅五个州纳入学生。
正文 · 原文
Abstract:In the years following the public release of ChatGPT in late 2022, more than half of U.S. states have published formal guidelines around AI usage in K-12 education, creating a record of largely independent state education departments responding to a shared technological disruption. In this work, we analyze publicly available AI usage guidance documents from 35 states in the U.S. and Puerto Rico. We compare the guidance in these documents across various dimensions, including pedagogy and instruction, audience, actionability, workforce and career readiness, responsible use and equity, and alignment with state-level demographics and administrative capacity. Finally, we investigate who authored these documents and their cited sources, identifying epistemic foundations underlying their claims. We find that guidance priorities converge on topics anchored in laws such as data privacy and academic integrity, each addressed in 97% of documents. While most documents mention equity of access (86%) and algorithmic bias (97%), fewer discuss specific marginalized populations. Across documents, there is a common framing of urgency around AI integration to prepare students for workforce readiness (86%) and promote loosely-defined personalized learning (86%), which is not matched by specific guidance for capacity-building, actionability, or accountability. State priorities show no relationship to state demographics, capacity, or partisanship. Instead, we identify notable interdependencies between states with shared citations to non-profit organizations like TeachAI and this http URL, with some states reproducing TeachAI's model guidance near-verbatim, and peer citations concentrating on a few early states such as Oregon and Washington. No state includes parents as contributors on these documents, and only five include students.
| Comments: | 29 pages, 8 figures, 8 tables, Under Review |
| Subjects: | Computers and Society (cs.CY); Digital Libraries (cs.DL) |
| Cite as: | arXiv:2611.06762 [cs.CY] |
| (or arXiv:2611.06762v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2611.06762 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Shahan Ali Memon [view email]
[v1]
Wed, 4 Nov 2026 16:40:51 UTC (1,329 KB)
来源：arXiv cs.CY · arxiv.org