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
基本信息
- 批准号:2333764
- 负责人:
- 金额:$ 19万
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
2022年的Chatgpt推出,加速了对学校领导者(在地区和建筑水平上)的需求,以做出与学校使用人工智能有关的重要和时间敏感的决定。鉴于人工智能的迅速发展,很少有既定的做法或指南供学校领导者依靠,而学校领导者当前对人工智能的了解可能太限制了,无法告知这些决定。然而,这些决定将对人工智能在K-12教育中的未来使用产生重大影响,因为它们将赋予教师的教学决定或进行学习的整体环境,最终影响人工智能促进更大平等和更大的学校包容性的潜力。因此,迫切需要为学校领导人提供支持,以告知与学校使用人工智能有关的政策和决定。这个快速的项目将为学校领导者提供在线资源,以及有关以下问题的新知识:(1)哪些决定已经做出并期望对人工智能做出哪些决定? (2)学校领导者当前对人工智能的知识及其在K-12教育中的应用,以及他们对人工智能有什么关键问题? (3)学校领导者对人工智能的态度是什么,他们对其在教育环境中的应用有什么风险和机会? (4)哪些资源可以帮助告知学校领导者关于人工智能的决定,以及如何有效地传递这些资源? (5)对先前问题的回答如何取决于学校领导的角色/功能和/或学区的特征?解决这些问题的数据将通过访谈的结合以及与技术董事,技术董事,助理总监,助理总监和纽约西部纽约公立学区的校长的调查来收集。这些见解将与该领域共享,以告知未来的研究和干预措施,以帮助他们利用人工智能,以实现更公平,包容和有效的K-12教育的最终目标。访谈和调查中的调查结果还将用于为学校领导者提供公开可用的在线资源,以帮助满足他们最直接的需求。 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数学(STEM)以及信息与通信技术(ICT)职业。该奖项反映了NSF的法定使命,并使用基金会的知识分子优点和更广泛的影响审查标准被认为值得通过评估来获得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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David Miller其他文献
The cell state splitter: Embryogenesis Explained: A review by David Miller
细胞状态分裂者:胚胎发生解释:大卫·米勒的评论
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:2.4
- 作者:
David Miller - 通讯作者:
David Miller
Who cares what the people think? Revisiting David Miller’s approach to theorising about justice
谁在乎人们的想法?重新审视大卫·米勒的正义理论方法?
- DOI:
10.1057/s41296-017-0136-9 - 发表时间:
2017 - 期刊:
- 影响因子:1.8
- 作者:
Alice Baderin;A. Busen;T. Schramme;Luke Ulaş;David Miller - 通讯作者:
David Miller
Recent results from CLEO on B physics at the ϒ(4S)
CLEO 在 ϒ(4S) 上关于 B 物理的最新结果
- DOI:
10.1016/0920-5632(90)90512-s - 发表时间:
1990 - 期刊:
- 影响因子:0
- 作者:
David Miller - 通讯作者:
David Miller
Intentional participation in the state
有意参与国家
- DOI:
10.1080/13698230.2023.2265212 - 发表时间:
2023 - 期刊:
- 影响因子:0.8
- 作者:
David Miller - 通讯作者:
David Miller
Some Organizational Consequences of Ceo Succession
首席执行官继任的一些组织后果
- DOI:
10.5465/256597 - 发表时间:
1993 - 期刊:
- 影响因子:10.5
- 作者:
David Miller - 通讯作者:
David Miller
David Miller的其他文献
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{{ truncateString('David Miller', 18)}}的其他基金
Collaborative Research: SaTC: EDU: Dual-track Role-based Learning for Cybersecurity Analysts and Engineers for Effective Defense Operation with Data Analytics
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- 批准号:
2228002 - 财政年份:2023
- 资助金额:
$ 19万 - 项目类别:
Standard Grant
Broadening the Discovery Potential of the LHC: Instrumentation, Algorithms, and Training for Physics with the ATLAS Experiment and Direct Axion Detection
扩大大型强子对撞机的发现潜力:通过 ATLAS 实验和直接轴子探测进行物理仪器、算法和培训
- 批准号:
2310094 - 财政年份:2023
- 资助金额:
$ 19万 - 项目类别:
Continuing Grant
Collaborative Research: How to get SMAL: Studying island dwarfism to find Shared Molecular mechanisms Across Life history traits
合作研究:如何获得 SMAL:研究岛屿侏儒症以寻找跨生命史特征的共享分子机制
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2222088 - 财政年份:2023
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ECR Hub: Advancing the Long-Term Potential of Fundamental Research
ECR 中心:提升基础研究的长期潜力
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2208422 - 财政年份:2022
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Continuing Grant
Identifying and Reducing Gender Bias in STEM: Systematically Synthesizing the Experimental Evidence
识别和减少 STEM 中的性别偏见:系统地综合实验证据
- 批准号:
2055422 - 财政年份:2021
- 资助金额:
$ 19万 - 项目类别:
Standard Grant
Improving Undergraduates’ Motivation and Retention in STEM Through Classroom Interventions: A Meta-Analysis
通过课堂干预提高本科生学习 STEM 的积极性和保留率:荟萃分析
- 批准号:
2110368 - 财政年份:2021
- 资助金额:
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Standard Grant
Building for Future Discoveries: Instrumentation, Algorithms, and Training for Physics with the ATLAS Experiment
为未来的发现而构建:通过 ATLAS 实验进行物理仪器、算法和培训
- 批准号:
2013010 - 财政年份:2020
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$ 19万 - 项目类别:
Continuing Grant
Collaborative Research: Implementing Multi-institutional Classroom-based Undergraduate Research Experiences to Study the Impact of Environmental Changes on Salamander Populations
合作研究:实施基于多机构课堂的本科生研究经验,研究环境变化对蝾螈种群的影响
- 批准号:
1914791 - 财政年份:2019
- 资助金额:
$ 19万 - 项目类别:
Standard Grant
The Development of Gender Stereotypes About STEM Abilities: A Meta-Analysis
关于 STEM 能力的性别刻板印象的发展:荟萃分析
- 批准号:
1920401 - 财政年份:2019
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$ 19万 - 项目类别:
Standard Grant
BOOST 2015 Workshop Hosted by the Enrico Fermi Institute at the University of Chicago; Chicago, IL; August 10-14, 2015.
BOOST 2015 研讨会由芝加哥大学恩里科费米研究所主办;
- 批准号:
1506139 - 财政年份:2015
- 资助金额:
$ 19万 - 项目类别:
Standard Grant
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