Collaborative Research: Integrated Development of Scalable Mobile Multidisciplinary Modules (SM3) for STEM Education
合作研究:STEM教育可扩展移动多学科模块(SM3)的集成开发
基本信息
- 批准号:1525716
- 负责人:
- 金额:$ 48.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-15 至 2021-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The central idea in this project is to motivate students to pursue studies in STEM areas by creating and disseminating scalable modules that demonstrate in a compelling manner how math and engineering theory enables modern applications such as those embedded in wireless devices. The goal is to motivate graduates to create high-tech products, enter the high-tech workforce, and become innovators. This project will promote a transformative STEM education agenda by developing and disseminating innovative and scalable content for several courses. These innovative products will promote a positive attitude change towards learning STEM concepts by continuously fusing theory with high tech applications. Objectives include developing a diverse community of users, innovative products with mobile video-streamed content, software training modules for skill building, e-books, and training workshops. The PIs will create and disseminate products on multidisciplinary STEM applications in areas including engineering, arts and media, and earth systems. The innovative educational modules will have comprehensive multidisciplinary content to address diverse audiences. Modules will be packaged for mobile delivery and will be multipurpose, multidisciplinary, and will: a) motivate students to learn theory through compelling applications, b) engage students in implementation for skill building and workforce creation purposes, and c) immerse diverse audiences and stakeholders in hands-on workshops for outreach, retention, and recruitment purposes. This project is based on collaboration between ASU and Clarkson University and engages faculty from Johns Hopkins University, Phoenix College, St. Lawrence University, Prairie View A&M University, and Corona del Sol high school. The project will use a mixed-method assessment process (qualitative and quantitative data collection) to build an understanding of the impact of the use of the modules, apps, and other tools on student learning gains, from the individual concept level to more general knowledge about scientific and engineering habits of mind and research practice. Assessments will be done through electronic web tools, pre- and post- quizzes, presentations, one-to-one interviews, and ordinary in-class testing.
该项目的中心思想是激励学生通过创建和传播可扩展模块来追求STEM领域的研究,这些模块以令人信服的方式展示数学和工程理论如何实现现代应用,例如嵌入在无线设备中的应用。 目标是激励毕业生创造高科技产品,进入高科技劳动力市场,成为创新者。该项目将通过开发和传播多门课程的创新且可扩展的内容来促进变革性的STEM教育议程。这些创新产品将通过不断融合理论与高科技应用,促进学习STEM概念的积极态度转变。目标包括开发一个多样化的用户社区、具有移动的视频流内容的创新产品、用于技能建设的软件培训模块、电子书和培训讲习班。PI将在工程,艺术和媒体以及地球系统等领域创建和传播多学科STEM应用产品。 创新的教育模块将有全面的多学科内容,以满足不同的受众。模块将被打包用于移动的交付,并且将是多用途的,多学科的,并且将:a)激励学生通过引人注目的应用程序学习理论,B)让学生参与技能培养和劳动力创造目的的实施,以及c)让不同的受众和利益相关者沉浸在实践研讨会中,以进行推广,保留和招聘。该项目是基于亚利桑那州立大学和克拉克森大学之间的合作,并聘请来自约翰霍普金斯大学,凤凰城学院,圣劳伦斯大学,草原视图A M大学和科罗纳德尔太阳高中的教师。该项目将使用混合方法评估过程(定性和定量数据收集),以了解使用模块,应用程序和其他工具对学生学习收益的影响,从个人概念层面到更一般的科学和工程知识。评估将通过电子网络工具,前和后测验,演示文稿,一对一的访谈,和普通的课堂测试。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Andreas Spanias其他文献
Despeckle Filtering Algorithms and Software for Ultrasound Imaging Despeckle Filtering Algorithms and Software for Ultrasound Imaging Despeckle Filtering Algorithms and Software for Ultrasound Imaging Synthesis Lectures on Algorithms and Software in Engineering #1
超声成像去斑滤波算法和软件 超声成像去斑滤波算法和软件 超声成像去斑滤波算法和软件 工程算法和软件综合讲座
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
C. Loizou;C. Pattichis;Eleni Loizou;Andreas Spanias - 通讯作者:
Andreas Spanias
Adaptive noise cancellation using fast optimum block algorithms
使用快速最佳块算法的自适应噪声消除
- DOI:
10.1109/iscas.1991.176430 - 发表时间:
1991 - 期刊:
- 影响因子:0
- 作者:
M. E. Deisher;Andreas Spanias - 通讯作者:
Andreas Spanias
Gradient projection-based channel equalization under sustained fading
- DOI:
10.1016/j.sigpro.2007.07.014 - 发表时间:
2008-02-01 - 期刊:
- 影响因子:
- 作者:
Venkatraman Atti;Andreas Spanias;Kostas Tsakalis;Constantinos Panayiotou;Leon Iasemidis;Visar Berisha - 通讯作者:
Visar Berisha
Introducing Quantum Computing in a Sophomore Signals and Systems Course
在大二信号与系统课程中介绍量子计算
- DOI:
10.1109/fie58773.2023.10343312 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Chao Wang;Aradhita Sharma;Glen S. Uehara;Leslie Miller;Deep Pujara;W. Barnard;Jean Larson;Andreas Spanias - 通讯作者:
Andreas Spanias
Quantum and Classical Machine Learning Algorithm Comparisons for Monitoring PV Array Faults with Emphasis to Shading Detection
用于监测光伏阵列故障的量子和经典机器学习算法比较,重点是阴影检测
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Kaden McGuffie;Glen S. Uehara;Sameeksha Katoch;Andreas Spanias - 通讯作者:
Andreas Spanias
Andreas Spanias的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Andreas Spanias', 18)}}的其他基金
REU Site: Quantum Machine Learning Algorithm Design and Implementation
REU 站点:量子机器学习算法设计与实现
- 批准号:
2349567 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Quantum Machine Learning Online Materials and Software Modules for Undergraduate Education
适用于本科教育的量子机器学习在线材料和软件模块
- 批准号:
2215998 - 财政年份:2022
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
MRI: Development of a Sensors and Machine Learning Instrument Suite for Solar Array Monitoring
MRI:开发用于太阳能阵列监测的传感器和机器学习仪器套件
- 批准号:
2019068 - 财政年份:2020
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
RET Site: Sensor, Signal and Information Processing Algorithms and Software
RET 站点:传感器、信号和信息处理算法和软件
- 批准号:
1953745 - 财政年份:2020
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
RAPID: Collaborative Research: Covid-19 Hotspot Network Size and Node Counting using Consensus Estimation
RAPID:协作研究:使用共识估计的 Covid-19 热点网络规模和节点计数
- 批准号:
2032114 - 财政年份:2020
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
IRES Track I: Sensors and Machine Learning for Solar Power Monitoring and Control
IRES Track I:用于太阳能监测和控制的传感器和机器学习
- 批准号:
1854273 - 财政年份:2019
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
REU Site: Sensor, Signal and Information Processing Devices and Algorithms
REU 网站:传感器、信号和信息处理设备和算法
- 批准号:
1659871 - 财政年份:2017
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
I/UCRC Phase II: ASU Research Site of the NSF Net-Centric and Cloud Software and Systems I/UCRC
I/UCRC 第二阶段:美国国家科学基金会 (NSF) 网络中心和云软件与系统的 ASU 研究站点 I/UCRC
- 批准号:
1540040 - 财政年份:2016
- 资助金额:
$ 48.2万 - 项目类别:
Continuing Grant
CPS: Synergy: Image Modeling and Machine Learning Algorithms for Utility-Scale Solar Panel Monitoring
CPS:协同:用于公用事业规模太阳能电池板监控的图像建模和机器学习算法
- 批准号:
1646542 - 财政年份:2016
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
I/UCRC: Workshops Promoting International USA-Mexico Collaborations in Sensors and Signal Processing
I/UCRC:促进美国-墨西哥在传感器和信号处理领域国际合作的研讨会
- 批准号:
1550393 - 财政年份:2015
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)
合作研究:EAGER:IMPRESS-U:通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)
- 批准号:
2409395 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
- 批准号:
2331294 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: An Integrated Framework for Learning-Enabled and Communication-Aware Hierarchical Distributed Optimization
协作研究:支持学习和通信感知的分层分布式优化的集成框架
- 批准号:
2331710 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: An Integrated Framework for Learning-Enabled and Communication-Aware Hierarchical Distributed Optimization
协作研究:支持学习和通信感知的分层分布式优化的集成框架
- 批准号:
2331711 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
- 批准号:
2332661 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: NSF-AoF: CIF: Small: AI-assisted Waveform and Beamforming Design for Integrated Sensing and Communication
合作研究:NSF-AoF:CIF:小型:用于集成传感和通信的人工智能辅助波形和波束成形设计
- 批准号:
2326622 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
- 批准号:
2331295 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
- 批准号:
2331296 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: NSF-AoF: CIF: Small: AI-assisted Waveform and Beamforming Design for Integrated Sensing and Communication
合作研究:NSF-AoF:CIF:小型:用于集成传感和通信的人工智能辅助波形和波束成形设计
- 批准号:
2326621 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
- 批准号:
2332662 - 财政年份:2024
- 资助金额:
$ 48.2万 - 项目类别:
Standard Grant