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年推出的ChatGPT加速了学校领导(无论是在学区还是在大楼层面)做出与在其学校使用人工智能相关的重要且具有时效性的决策的需求。鉴于人工智能的快速发展,学校领导几乎没有既定的做法或指导方针可依赖,学校领导目前对人工智能的了解可能过于有限,无法为这些决定提供信息。然而,这些决定将对未来人工智能在K-12教育中的使用产生重大影响,因为它们将授权或限制教师的教学决策以及进行学习的整体环境,最终影响人工智能潜力的实现,以促进学校的更大公平和包容。因此,迫切需要为学校领导提供支持,为他们学校使用人工智能的相关政策和决策提供信息。这个快速项目将为学校领导提供在线资源,并为以下问题提供新的知识:(1)学校领导已经做出了哪些关于人工智能的决策?(2)学校领导目前对人工智能及其在K-12教育中的应用有什么了解,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是什么,他们认为它在教育环境中的应用存在哪些风险和机会?(4)哪些资源可以帮助学校领导关于人工智能的决策,这些资源如何有效地交付?以及(5)根据学校领导的角色/职能和/或所在学区的特点,对上述问题的回答有何不同?回答这些问题的数据将通过采访和对纽约西部所有公立学区的负责人、技术总监、负责指导的助理监督和校长的调查相结合的方式收集。这些见解将与外地分享,为学校领导人未来的研究和干预提供信息,帮助他们利用人工智能,最终目标是实现更公平、更包容和更有效的K-12教育。访谈和调查的结果也将被用来为学校领导创建公开可用的在线资源提供信息,以帮助解决他们最紧迫的需求。收到这份建议书是为了回应亲爱的同事来信(DCL):在正式和非正式环境中迅速加速对K-12教育中人工智能的研究(NSF 23-097),并由学生和教师创新技术体验(ITEST)计划资助,该计划支持一些项目,这些项目建立对实践、计划元素、背景和过程的理解,有助于提高学生对科学、技术、工程和数学(STEM)以及信息和通信技术(ICT)职业的知识和兴趣。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
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
PlasmaCap EBA: An innovative method of isolating plasma proteins from human plasma
PlasmaCap EBA:一种从人血浆中分离血浆蛋白的创新方法
- DOI:
10.1111/vox.13388 - 发表时间:
2022 - 期刊:
- 影响因子:2.7
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David Miller;G. Vanderlee;Olivier Vaute;Mark Krause - 通讯作者:
Mark Krause
Idiopathic Pulmonary Fibrosis: PhysiologicTests,QuantitativeCT Indexes,andCTVisualScoresas PredictorsofMortality 1
特发性肺纤维化:生理测试、定量 CT 指数和 CT 视觉评分作为死亡率的预测因素 1
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Alan C Best;Ji;Anne M. Lynch;C. Bozic;David Miller;G. Grunwald;D. Lynch - 通讯作者:
D. Lynch
Authority and Immigration
当局和移民
- DOI:
10.1177/00323217211046423 - 发表时间:
2021 - 期刊:
- 影响因子:3.1
- 作者:
David Miller - 通讯作者:
David Miller
Planet Four: Probing springtime winds on Mars by mapping the southern polar CO2 jet deposits
第四号行星:通过绘制南极二氧化碳喷射沉积物来探测火星上的春季风
- DOI:
10.1016/j.icarus.2018.08.018 - 发表时间:
2018 - 期刊:
- 影响因子:3.2
- 作者:
K. Aye;M. Schwamb;G. Portyankina;C. Hansen;Adam McMaster;G. Miller;B. Carstensen;C. Snyder;M. Parrish;S. Lynn;C. Mai;David Miller;R. Simpson;Arfon M. Smith - 通讯作者:
Arfon M. Smith
Human values as catalysts and consequences of social innovations
人类价值观作为社会创新的催化剂和后果
- DOI:
10.1016/j.forpol.2019.03.006 - 发表时间:
2019 - 期刊:
- 影响因子:4
- 作者:
Simo Sarkki;Andrej Ficko;David Miller;C. Barlagne;Mariana Melnykovych;Mikko Jokinen;I. Soloviy;M. Nijnik - 通讯作者:
M. Nijnik
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
协作研究:SaTC:EDU:网络安全分析师和工程师基于角色的双轨学习,通过数据分析实现有效的防御操作
- 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
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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
- 批准号:
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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2055422 - 财政年份:2021
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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
- 资助金额:
$ 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
- 资助金额:
$ 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:
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