Science and Engineering Education for Infrastructure Transformation
基础设施转型的科学与工程教育
基本信息
- 批准号:1721054
- 负责人:
- 金额:$ 289.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-10-01 至 2021-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Discovery Research K-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools (RMTs). Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects. The Concord Consortium in collaboration with Purdue University will research and develop an engineering education technology and pedagogy that will support project-based learning of science, engineering, and computation concepts and skills underlying the strategically important "smart" and "green" aspects of the infrastructure. This project will develop transformative technologies and curriculum materials to turn the campus of a high school or a geographical information system such as Google Maps into an engineering laboratory with virtually unlimited opportunities for learning and exploration. The project will deliver two innovations: 1) The Smart High School is an engineering platform for designing Internet of Things systems for managing the resources, space, and processes of a school based on real-time analysis of data collected by various sensors deployed by students on campus; and 2) the Virtual Solar World is a computational modeling platform for students to design, deploy, and connect virtual solar power solutions for their homes, schools, and regions. Six standards-aligned curriculum units based on these technologies will be developed to guide student learning and support educational research. Approximately 2,000 students from rural, suburban, and urban high schools in Indiana, Massachusetts, New Hampshire, and Ohio will participate in this research. project products and findings through the Internet, conferences, publications, and partner networks.The research is designed to identify technology-enhanced instructional strategies that can simultaneously foster the growth of skills and self-efficacy in scientific reasoning, design thinking, and computational thinking, all of which are needed to build the future infrastructure. The focus on infrastructure transformation is aligned with NSF's vision of smart and connected communities. Although this project will use the context of smart and green infrastructure to engage students to solve real-world problems, the skills of scientific reasoning, design thinking, and computational thinking that they will acquire through meeting the challenges of this project can be transferrable to other topics and fields. Using a design-based research approach, a rich set of formative and summative data will be collected from these students for probing into three research questions: 1) To what extent does the integrated learning model help students develop and connect scientific reasoning, design thinking, and computational thinking skills?; 2) To what extent is students' interest in cognate careers affected by the authenticity of engineering design challenges?; and 3) How do the variations in the solutions to overcome the cognitive and practical difficulties of real-world problems impact learning outcomes and career interest? The data sources include pre/post-tests, process data, self-reports, observations, surveys, interviews, and participant information.
探索研究K-12计划(DRK-12)旨在通过研究和开发创新资源、模型和工具(RMT),显著提高K-12学龄前学生和教师在科学、技术、工程和数学(STEM)方面的学习和教学。DRK-12计划中的项目建立在STEM教育的基础研究和先前的研究和开发努力的基础上,这些研究和开发工作为拟议的项目提供了理论和经验证明。协和联盟将与普渡大学合作,研究和开发工程教育技术和教学方法,支持以项目为基础的科学、工程和计算概念和技能的学习,这些概念和技能是基础设施具有战略重要性的“智能”和“绿色”方面的基础。该项目将开发变革性的技术和课程材料,将高中校园或地理信息系统(如谷歌地图)变成一个工程实验室,几乎有无限的学习和探索机会。该项目将带来两项创新:1)智能高中是一个设计物联网系统的工程平台,用于管理学校的资源、空间和流程,基于对学生在校园部署的各种传感器收集的数据进行实时分析;以及2)虚拟太阳能世界是一个计算建模平台,供学生为他们的家庭、学校和地区设计、部署和连接虚拟太阳能解决方案。将根据这些技术开发六个符合标准的课程单元,以指导学生学习和支持教育研究。来自印第安纳州、马萨诸塞州、新罕布夏州和俄亥俄州农村、郊区和城市高中的大约2000名学生将参与这项研究。通过互联网、会议、出版物和合作伙伴网络项目产品和成果。该研究旨在确定技术增强的教学策略,这些策略可以同时促进在科学推理、设计思维和计算思维方面的技能和自我效能的增长,所有这些都是建设未来基础设施所必需的。对基础设施转型的关注与NSF关于智能和互联社区的愿景保持一致。虽然这个项目将使用智能和绿色基础设施的背景来吸引学生解决现实世界的问题,但他们通过迎接这个项目的挑战而获得的科学推理、设计思维和计算思维的技能可以转移到其他主题和领域。使用基于设计的研究方法,将从这些学生那里收集大量形成和总结的数据,以探讨三个研究问题:1)集成学习模式在多大程度上帮助学生发展和联系科学推理、设计思维和计算思维技能?2)学生对同类职业的兴趣在多大程度上受到工程设计挑战的真实性的影响?以及3)克服现实世界问题的认知和实践困难的解决方案的差异如何影响学习结果和职业兴趣?数据来源包括前测/后测、过程数据、自我报告、观察、调查、访谈和参与者信息。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Understanding Science Learning Through Writings on Engineering Design
通过工程设计著作理解科学学习
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Huang, X.;Xing, W.;Zhao, H.;Chao, J.;Schimpf, C.;Chen, G.;& Xie, C.
- 通讯作者:& Xie, C.
Solarize Your School: A Solar Energy System Design Challenge
为您的学校提供太阳能:太阳能系统设计挑战
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Chao, J;Xie, C;Massicotte, J;Schimpf, C;Lockwood, J;Huang, X;& Beaulieu, C
- 通讯作者:& Beaulieu, C
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Charles Xie其他文献
What Distinguishes Students’ Engineering Design Performance: Design Behaviors, Design Iterations, and Application of Science Concepts
- DOI:
10.1007/s10956-024-10184-y - 发表时间:
2024-12-10 - 期刊:
- 影响因子:5.500
- 作者:
Hanxiang Du;Gaoxia Zhu;Wanli Xing;Charles Xie - 通讯作者:
Charles Xie
FARGO: Fast Maximum Inner Product Search via Global Multi-Probing
FARGO:通过全局多重探测进行快速最大内积搜索
- DOI:
10.14778/3579075.3579084 - 发表时间:
2023-01 - 期刊:
- 影响因子:0
- 作者:
Xi Zhao;Bolong Zheng;Xiaomeng Yi;Xiaofan Luan;Charles Xie;Xiaofang Zhou;Christian S. Jensen - 通讯作者:
Christian S. Jensen
A CAD-Based Research Platform for Design Thinking Studies
基于 CAD 的设计思维研究平台
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Z. Sha;M. H. Rahman;C. Schimpf;Charles Xie - 通讯作者:
Charles Xie
Learning and teaching engineering design through modeling and simulation on a CAD platform
通过 CAD 平台上的建模和仿真来学习和教授工程设计
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:2.9
- 作者:
Charles Xie;C. Schimpf;J. Chao;S. Nourian;Joyce Massicotte - 通讯作者:
Joyce Massicotte
Using Machine Learning Techniques to Capture Engineering Design Behaviors
使用机器学习技术捕获工程设计行为
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
J. Bywater;Mark Floryan;Jennifer L. Chiu;J. Chao;C. Schimpf;Charles Xie;Camilo Vieira;Alejandra J. Magana;C. Dasgupta - 通讯作者:
C. Dasgupta
Charles Xie的其他文献
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{{ truncateString('Charles Xie', 18)}}的其他基金
Using Advanced Technology to Enhance Learning and Teaching in Science Labs at Two-Year Colleges
利用先进技术加强两年制学院科学实验室的学习和教学
- 批准号:
2329563 - 财政年份:2024
- 资助金额:
$ 289.94万 - 项目类别:
Standard Grant
Collaborative Research: A Solar and Wind Innovation and Technology Collaborative for Hawaii (SWITCH)
合作研究:夏威夷太阳能和风能创新与技术合作组织 (SWITCH)
- 批准号:
2301164 - 财政年份:2023
- 资助金额:
$ 289.94万 - 项目类别:
Standard Grant
Science and Engineering Education for Infrastructure Transformation
基础设施转型的科学与工程教育
- 批准号:
2131097 - 财政年份:2021
- 资助金额:
$ 289.94万 - 项目类别:
Continuing Grant
Change Makers: Crowdsolving the Energy Challenge through Cyber-Enabled Out-of-School Citizen Science Programs
变革者:通过网络支持的校外公民科学项目集体解决能源挑战
- 批准号:
2054079 - 财政年份:2020
- 资助金额:
$ 289.94万 - 项目类别:
Standard Grant
Collaborative Research: SmartCAD: Guiding Engineering Design with Science Simulations
合作研究:SmartCAD:用科学模拟指导工程设计
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2105695 - 财政年份:2020
- 资助金额:
$ 289.94万 - 项目类别:
Continuing Grant
Change Makers: Crowdsolving the Energy Challenge through Cyber-Enabled Out-of-School Citizen Science Programs
变革者:通过网络支持的校外公民科学项目集体解决能源挑战
- 批准号:
1712676 - 财政年份:2018
- 资助金额:
$ 289.94万 - 项目类别:
Standard Grant
Collaborative Research: Visualizing Chemistry with Infrared Imagining
合作研究:用红外成像可视化化学
- 批准号:
1626228 - 财政年份:2016
- 资助金额:
$ 289.94万 - 项目类别:
Continuing Grant
Next Step Learning: Bridging Science Education and Cleantech Careers with Innovative Technologies
下一步学习:通过创新技术架起科学教育和清洁技术职业的桥梁
- 批准号:
1512868 - 财政年份:2015
- 资助金额:
$ 289.94万 - 项目类别:
Standard Grant
Collaborative Research: SmartCAD: Guiding Engineering Design with Science Simulations
合作研究:SmartCAD:用科学模拟指导工程设计
- 批准号:
1503196 - 财政年份:2015
- 资助金额:
$ 289.94万 - 项目类别:
Continuing Grant
Collaborative Research: Large-Scale Research on Engineering Design Based on Big Learner Data Logged by a CAD Tool
协作研究:基于 CAD 工具记录的大学习者数据的大规模工程设计研究
- 批准号:
1348530 - 财政年份:2014
- 资助金额:
$ 289.94万 - 项目类别:
Standard Grant
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