RAPID: Understanding and Supporting K-12 School Leaders' AI-related Decision-making

RAPID：理解和支持 K-12 学校领导的人工智能相关决策

• 批准号: 2333764
• 负责人: David Miller
• 金额: $ 19万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2333764&HistoricalAwards=false
• 关键词: RAPID; Understanding; Supporting; 12; Leaders

The 2022 launch of ChatGPT has accelerated the need for school leaders (at both the district and building level) to make important and time-sensitive decisions related to the use of artificial intelligence in their schools. Given the rapid development of artificial intelligence, there are few established practices or guidelines for school leaders to rely on, and school leaders' current knowledge of artificial intelligence may be too limited to inform these decisions. Yet these decisions will have a great impact on future uses of artificial intelligence in K-12 education, as they will empower or constrain teachers' instructional decisions as well as the overall environment where learning takes place, ultimately affecting the realization of the potential of artificial intelligence to promote greater equity and inclusion in schools. Therefore, there is an urgent need to provide support to school leaders to inform policies and decisions related to the use of artificial intelligence in their schools. This RAPID project will contribute online resources for school leaders as well as new knowledge about the following questions: (1) What kinds of decisions have school leaders already made and expect to make about artificial intelligence? (2) What is school leaders' current knowledge of artificial intelligence and its applications in K-12 education, and what key questions do they have about artificial intelligence? (3) What are school leaders' attitudes towards artificial intelligence, and what risks and opportunities do they perceive about its applications to educational settings? (4) What resources could help inform school leaders' decisions about artificial intelligence, and how could these resources be effectively delivered? and (5) How do responses to the previous questions vary depending on the role/function of the school leader and/or characteristics of their school district?Data to address these questions will be gathered through a combination of interviews and a survey with superintendents, directors of technology, assistant superintendents for instruction and principals across all Western New York public school districts. The insights will be shared with the field to inform future research and interventions for school leaders to help them capitalize on artificial intelligence with the ultimate goal of achieving a more equitable, inclusive and effective K-12 education. Findings from the interviews and survey will also be used to inform the creation of publicly available online resources for school leaders to help address their most immediate needs. This proposal was received in response to the Dear Colleague Letter (DCL): Rapidly Accelerating Research on Artificial Intelligence in K-12 Education in Formal and Informal Settings (NSF 23-097) and funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

ChatGPT 于 2022 年推出，加速了学校领导（学区和大楼层面）做出与在学校使用人工智能相关的重要且时间敏感的决策的需求。鉴于人工智能的快速发展，学校领导者可以依赖的既定实践或指南很少，而且学校领导者目前对人工智能的了解可能太有限，无法为这些决策提供信息。然而，这些决策将对人工智能在 K-12 教育中的未来应用产生巨大影响，因为它们将赋予或限制教师的教学决策以及学习发生的整体环境，最终影响人工智能潜力的实现。促进学校更加公平和包容的智力。因此，迫切需要为学校领导提供支持，以告知与学校使用人工智能相关的政策和决策。该 RAPID 项目将为学校领导提供在线资源以及有关以下问题的新知识：（1）学校领导已经就人工智能做出了哪些决定以及预计将做出哪些决定？ （2）学校领导目前对人工智能及其在K-12教育中的应用的了解如何，他们对人工智能有哪些关键问题？ （3）学校领导对人工智能的态度如何？他们认为人工智能在教育领域的应用存在哪些风险和机遇？ （4）哪些资源可以帮助学校领导做出有关人工智能的决策，以及如何有效地提供这些资源？ (5) 对前面问题的回答如何根据学校领导的角色/职能和/或学区的特征而变化？解决这些问题的数据将通过与学监的访谈和调查相结合的方式收集，纽约西部所有公立学区的技术总监、教学助理总监和校长。这些见解将与业界分享，为学校领导者未来的研究和干预提供信息，帮助他们利用人工智能，最终实现更加公平、包容和有效的 K-12 教育。访谈和调查的结果还将用于为学校领导者创建公开的在线资源提供信息，以帮助解决他们最紧迫的需求。该提案是为了回应亲爱的同事信 (DCL)：在正式和非正式环境中快速加速 K-12 教育中的人工智能研究 (NSF 23-097)，并由学生和教师创新技术体验 (ITEST) 资助）计划，支持加深对实践、计划要素、背景和流程的理解的项目，有助于增加学生对科学、技术、工程和数学 (STEM) 以及信息和通信技术的知识和兴趣(ICT) 职业。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。