Engaged Student Learning Off Campus: Hands-on Distance Learning in Engineering and Computer Science through Internet of Things
Engaged Student Learning Off Campus: Hands-on Distance Learning in Engineering and Computer Science through Internet of Things
批准号:
2044255
负责人:
Mehrube Mehrubeoglu
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-02-01 至 2025-01-31
中文摘要
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英文摘要
This project aims to serve the national interest in high quality undergraduate STEM education by developing and testing remote hands-on learning experiences in engineering and computer science. Specifically, the project aims to support student learning by providing them with physical devices and components related to the Internet of Things (IoT). Students can use these IoT Kits for learning on or off campus, thus enabling them to gain engineering knowledge and hands-on skills that are traditionally available only in on-campus laboratories. The learning experiences will include peer collaboration, increasing the potential of the experiences to promote learning outcomes including team work skills. By providing high quality, remote hands-on learning, this project has the potential to mitigate limits to in-person learning, such those caused by the COVID-19 pandemic. In addition, learning with IoT Kits can free authentic learning experiences from the physical and scheduling constraints of traditional laboratories, thus supporting broader participation in computer science and engineering. This project will develop hands-on assignments and projects that engage students in project- and problem-based learning off campus using loaned IoT Kits. In addition, this project will examine the effectiveness of students’ remote learning through IoT kits coupled with hands-on assignments and projects. Furthermore, the project will investigate a new paradigm for hands-on distance learning through the use of IoT and related devices that are in the forefront of current technological advancements. IoT-based learning materials and teaching protocols will be developed to enable engaged student learning in situations that previously have been inhospitable to such learning. This research will investigate whether such flexibility in learning time and space increases students’ self-efficacy and problem-based learning skills. It will further investigate peer collaborative learning in distance hands-on projects and explore potential differences between students when learning in remote collaborative learning environments. Successful transfer of learning in remote hands-on engaged student learning scenarios will be evaluated, particularly in the context of students from groups that are not yet equitably represented in STEM. Project outcomes will be disseminated through a project website for use by other institutions to broaden participation in STEM education. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.
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DOI:
10.1117/12.2622335
发表时间:
2022-06
期刊:
影响因子:
--
作者:
[A. Moore;M. Mehrubeoglu;Aaron Mooney;L. McLauchlan]
通讯作者:
A. Moore;M. Mehrubeoglu;Aaron Mooney;L. McLauchlan
DOI:
10.1117/12.2622362
发表时间:
2022-05
期刊:
影响因子:
--
作者:
[J. Falcón;M. Mehrubeoglu;Pablo Rangel]
通讯作者:
J. Falcón;M. Mehrubeoglu;Pablo Rangel
Engaged Student Learning through IoT-based Capstone Projects: Particular Look at Student Engagement in Historically Underrepresented Groups
通过基于物联网的顶点项目让学生参与学习:特别关注历史上代表性不足的群体的学生参与度
DOI:
--
发表时间:
2023
期刊:
Proc. IEEE Frontiers in Education Conf.
影响因子:
--
作者:
[Mehrube Mehrubeoglu, Lifford McLauchlan, David Hicks, Adetoun Yeaman]
通讯作者:
Adetoun Yeaman
Enabling Remote Student Learning of IoT Technologies
支持学生远程学习物联网技术
DOI:
--
发表时间:
2023
期刊:
Proc. 2023 Annual ASEE Conference and Exposition
影响因子:
--
作者:
[Lifford McLauchlan, David Hicks, Mehrube Mehrubeoglu, Hemanth Kumar Reddy Bhimavarapu]
通讯作者:
Hemanth Kumar Reddy Bhimavarapu
Real-time image analysis in IoT-based home security system
基于物联网的家庭安全系统中的实时图像分析
DOI:
10.1117/12.2665104
发表时间:
2023
期刊:
Real-Time Image Processing and Deep Learning 2023
影响因子:
--
作者:
[Villarreal, Amanda, Mehrubeoglu, Mehrube, Davila, Lawrence, McLauchlan, Lifford L.]
通讯作者:
McLauchlan, Lifford L.
共 9 条
MRI-R2: Development of Hyperspectral Optical Property Instrumentation (HOPI) for Biomedical and Environmental Research
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批准号:0960000
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项目类别:Standard Grant
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资助金额:$52.42万
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财政年份:2010
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负责人:Mehrube Mehrubeoglu
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依托单位:
海外基金