Collaborative Research: Cultivating Tomorrow's Innovators Through Exploring Planetary Images with Artificial Intelligence

合作研究:通过人工智能探索行星图像培养明天的创新者

基本信息

  • 批准号:
    2314155
  • 负责人:
  • 金额:
    $ 162.17万
  • 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:
    2023-09-01 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

The rapid permeation of AI into nearly all walks of life and every profession calls for innovative approaches of public AI literacy and education in all settings. This project will design, develop, and test a sequence of lessons for high school aged youth from east Tennessee that will teach them artificial intelligence concepts by using images from planetary exploration and emerging Generative AI tools to create visually appealing generative artworks and digital stories. AI concepts grounded in topics that are relevant and engaging through the lens of creative works can serve as an invitation for underrepresented and under-resourced youths to explore fields that they would not otherwise choose or have the opportunity to learn about. The project team including AI researchers and educators, STEM disciplinary experts and the broader creative works community will employ a mixture of out-of-school and online activities, integrating Planetary Science, planetary exploration, big data, creative works, and Generative AI. The works created by youths with the assistance of Generative AI and validated by scientists on planetary exploration and Planetary Science will be showcased online, at the American Museum of Science and Energy, and other public places. This Integrating Research & Practice project is funded by the Advancing Informal STEM Learning (AISL) program, which supports projects that: (a) contribute to research and practice that considers informal STEM learning's role in equity and belonging in STEM; (b) promote personal and educational success in STEM; (c) advance public engagement in scientific discovery; (d) foster interest in STEM careers; (e) create and enhance the theoretical and empirical foundations for effective informal STEM learning; (f) improve community vibrancy; and/or (g) enhance science communication and the public's engagement in and understanding of STEM and STEM processes, and co-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.Over the three-year project duration, the project will directly impact approximately 360 high school youth and will reach out to a much larger number of participants through online webinars, workshops, newsletters, and exhibits. The project will investigate four research questions: (1) How does participation in an interdisciplinary out-of-school STEM program influence high school youths' AI knowledge and skills, STEM engagement and identity, and sense of belonging to a scientific community? (2) What do youths learn about the value of their personal and cultural knowledge and skills (i.e., assets) to the local and broader community? (3) What program challenges, features, and content appear to have the greatest influence on engagement, identity, and belonging? (4) How do outcomes vary by youth demographics including gender, ethnicity, and urban/rural environment? The research will use a mixed-methods design, combining quantitative surveys with qualitative written reflections and pictures with commentary. In the final year of the project, professional development workshops will train educators to use learning materials generated from the project. Research findings produced through this work will contribute new knowledge on methods and learning designs in integrating AI, STEM and art for informal STEM education.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.
人工智能几乎迅速渗透到各行各业和每一个职业,这需要在所有环境中采用创新的公共人工智能素养和教育方法。该项目将为田纳西州东部的高中生设计、开发和测试一系列课程,这些课程将通过使用行星探索的图像和新兴的生成式人工智能工具来教授他们人工智能概念,以创建具有视觉吸引力的生成艺术作品和数字故事。人工智能概念以相关主题为基础,通过创造性作品的视角引人入胜,可以邀请代表性不足和资源不足的年轻人探索他们原本不会选择或没有机会了解的领域。项目团队包括人工智能研究人员和教育工作者、STEM学科专家和更广泛的创意作品社区,将采用校外和在线活动的混合形式,整合行星科学、行星探索、大数据、创意作品和生成式人工智能。青年在生成式人工智能的协助下创作,并经科学家在行星探索和行星科学方面验证的作品,将在网上、美国科学与能源博物馆和其他公共场所展出。该综合研究与实践项目由推进非正式STEM学习(AISL)计划资助,该计划支持以下项目:(a)促进研究和实践,考虑非正式STEM学习在STEM公平和归属方面的作用;(b)促进个人和教育在STEM方面的成功;(c)促进公众参与科学发现;(d)培养对STEM职业的兴趣;(e)为有效的非正式STEM学习创造和加强理论和经验基础;(f)改善社区活力;和/或(g)加强科学传播和公众对STEM和STEM过程的参与和理解,并由学生和教师创新技术体验(ITEST)计划共同资助,该计划支持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)职业的知识和兴趣的实践、项目要素、背景和过程的理解的项目。在为期三年的项目期间,该项目将直接影响约360名高中青年,并将通过在线网络研讨会、研讨会、通讯和展览接触到更多的参与者。该项目将调查四个研究问题:(1)参与跨学科的校外STEM项目如何影响高中青少年的人工智能知识和技能、STEM参与和认同以及对科学社区的归属感?(2)青少年如何认识到他们的个人和文化知识和技能(即资产)对本地和更广泛的社区的价值?(3)哪些项目挑战、特色和内容对参与、认同和归属感的影响最大?(4)青年人口统计数据(包括性别、种族和城乡环境)对结果有何影响?该研究将采用混合方法设计,将定量调查与定性书面反思相结合,将图片与评论相结合。在项目的最后一年,专业发展讲习班将培训教育工作者使用项目产生的学习材料。通过这项工作产生的研究成果将为非正式STEM教育整合人工智能、STEM和艺术的方法和学习设计提供新的知识。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值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

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Ping Wang其他文献

The clause structure of Malagasy : a minimalist approach
马达加斯加语的子句结构:极简主义方法
  • DOI:
  • 发表时间:
    2001
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jun Zhou;Wei Du;Guo;Ping Wang;Yingmin Tao;L. Sun;Bo Peng;Ranran Dai;Wei Tang
  • 通讯作者:
    Wei Tang
Particle scattering induced orbital angular momentum spectrum change of vector Bessel–Gaussian vortex beam
矢量贝塞尔-高斯涡旋光束的粒子散射诱导轨道角动量谱变化
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Chenge Shi;Mingjian Cheng;Lixin Guo;Martin P. J. Lavery;Ping Wang;Songhua Liu;Renxian Li;Jiangting Li
  • 通讯作者:
    Jiangting Li
Influence of Polygonal Wheels in High-speed Trains on Dynamic Performance of Turnout
The Correlation between Traditional Ultrasound Features and the Expression of Estrogen Receptor, Progesterone Receptor, Human Epidermal Growth Factor Receptor-2, and Ki-67 in Breast Carcinoma
乳腺癌传统超声特征与雌激素受体、孕激素受体、人表皮生长因子受体-2、Ki-67表达的相关性
  • DOI:
    10.37015/audt.2018.180820
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0.9
  • 作者:
    Ping Wang;Junfan Li;Wensheng Yue;Wenyan Li;Yuqun Luo
  • 通讯作者:
    Yuqun Luo
Late Cretaceous drainage reorganization of the Middle Yangtze River
长江中游晚白垩世水系重组
  • DOI:
    10.1130/l695.1
  • 发表时间:
    2018-06
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Ping Wang;Hongbo Zheng;Shaofeng Liu;Greg Hoke
  • 通讯作者:
    Greg Hoke

Ping Wang的其他文献

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{{ truncateString('Ping Wang', 18)}}的其他基金

CRII: III: Towards Reasoning Augmented Searching for Domain-Specific Knowledge Screening
CRII:III:针对特定领域知识筛选的推理增强搜索
  • 批准号:
    2245907
  • 财政年份:
    2023
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Standard Grant
CyberCorps Scholarship for Service: Excellence, Ethics, and Strategic Thinking
Cyber​​Corps 服务奖学金:卓越、道德和战略思维
  • 批准号:
    2234554
  • 财政年份:
    2023
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Continuing Grant
RAPID: 2018 Hurricane Season: Sedimentological and Morphological Characteristics of Hurricane Michael Induced Storm Deposits in Apalachicola Bay
RAPID:2018 年飓风季节:迈克尔飓风引发的阿巴拉契科拉湾风暴沉积物的沉积学和形态特征
  • 批准号:
    1904055
  • 财政年份:
    2018
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Standard Grant
BIGDATA: IA: Virtual Observatory of Innovation Communities and Ecosystems (VOICE): Advancing Big Data with Ecology Theory and Data Science
大数据:IA:创新社区和生态系统虚拟观测站(VOICE):利用生态理论和数据科学推进大数据
  • 批准号:
    1546404
  • 财政年份:
    2016
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Standard Grant
Investigation of the early growth response gene (Egr) 2 and 3 mediated regulatory programme in T cells
T 细胞中早期生长反应基因 (Egr) 2 和 3 介导的调控程序的研究
  • 批准号:
    MR/N00096X/1
  • 财政年份:
    2015
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Research Grant
Collaborative Research: Bringing Problem Solving in the Field into the Classroom: Developing and Assessing Virtual Field Trips for Teaching Sedimentary and Introductory Geology
合作研究:将现场解决问题带入课堂:开发和评估沉积学和入门地质学教学的虚拟实地考察
  • 批准号:
    1044257
  • 财政年份:
    2011
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Standard Grant
RAPID: Emergency Field Investigation of Oil-Beach Interaction along the Alabama and Florida Beaches Following the BP Deepwater Horizon Oil Spill
RAPID:英国石油公司深水地平线漏油事件后,对阿拉巴马州和佛罗里达州海滩沿线的油滩相互作用进行紧急现场调查
  • 批准号:
    1041868
  • 财政年份:
    2010
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Standard Grant
DHB: Scalable Computational Analysis of the Diffusion of Technological Concepts
DHB:技术概念扩散的可扩展计算分析
  • 批准号:
    0729459
  • 财政年份:
    2007
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Standard Grant
CAREER: Study of Novel Interfacial Biocatalysis of Multienzyme Systems Self-Assembled at Organic-Aqueous Interfaces
职业:有机-水界面自组装多酶系统的新型界面生物催化研究
  • 批准号:
    0703999
  • 财政年份:
    2006
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Continuing Grant

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Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
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    0.0 万元
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Cell Research
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  • 批准号:
    10774081
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    2007
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Collaborative Research: EPIIC: Cultivating Innovation and Research Capacity for Life Sustaining Emerging Technologies (CIRCLET)
合作研究:EPIIC:培养生命维持新兴技术的创新和研究能力(CIRCLET)
  • 批准号:
    2332944
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    2023
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Collaborative Research: Cultivating Tomorrow's Innovators Through Exploring Planetary Images with Artificial Intelligence
合作研究:通过人工智能探索行星图像培养明天的创新者
  • 批准号:
    2314156
  • 财政年份:
    2023
  • 资助金额:
    $ 162.17万
  • 项目类别:
    Standard Grant
Collaborative Research: EPIIC: Cultivating Innovation and Research Capacity for Life Sustaining Emerging Technologies (CIRCLET)
合作研究:EPIIC:培养生命维持新兴技术的创新和研究能力(CIRCLET)
  • 批准号:
    2332942
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    2023
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    $ 162.17万
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Collaborative Research: EPIIC: Cultivating Innovation and Research Capacity for Life Sustaining Emerging Technologies (CIRCLET)
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