The micropolitical landscape of publicly discoverable policies for generative AI in large US school districts

生成语法 环境规划 业务 经济增长 区域科学 政治学 地理 计算机科学 经济 人工智能
作者
Mary Rice
出处
期刊:Technology, Pedagogy and Education [Taylor & Francis]
卷期号:: 1-17 被引量:2
标识
DOI:10.1080/1475939x.2024.2421494
摘要

While the use of generative AI (genAI) in K12 schools is increasing, it is poorly understood from a policy perspective. There are significant tensions in technology integration in education between public interests for social good and pressure from educational technology companies to view schools as markets. This study examined genAI policy efforts in the 50 largest US school districts by student enrolment in fall 2023 and spring 2024. A content analysis of documents from districts, states and media sources revealed micropolitical, rather than top-down, activities where districts were attempting policy making about genAI in varied ways and at varied paces. Educational technology vendors seemed to be opening space for substantial influence in policy decisions simultaneously. Understandings about these micropolitical activities of policy making have the potential to support shared decision-making and co-responsibility as important opportunities for disrupting current dynamics of influence on educational policy making in US schools.
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