Engaged Student Learning Off Campus: Hands-on Distance Learning in Engineering and Computer Science through Internet of Things

学生参与校外学习：通过物联网进行工程和计算机科学的实践远程学习

• 批准号: 2044255
• 负责人: Mehrube Mehrubeoglu
• 金额: $ 30万
• 依托单位: Texas A&M University Corpus Christi
• 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
• 起止时间: 2021-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2044255&HistoricalAwards=false
• 关键词: Engaged; Student; Learning; Off; Campus

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.

该项目旨在通过开发和测试工程和计算机科学领域的远程实践学习体验来服务于高质量本科 STEM 教育的国家利益。具体来说，该项目旨在通过为学生提供与科学相关的物理设备和组件来支持学生的学习。物联网（IoT）。学生可以使用这些物联网套件在校园内或校外学习，从而使他们能够获得传统上只能在校园实验室中获得的工程知识和实践技能。学习经验将包括同伴协作。 ，增加体验促进学习成果的潜力，包括通过提供高质量的远程实践学习，该项目有可能减轻面对面学习的限制，例如由 COVID-19 大流行造成的限制。此外，使用物联网套件进行学习可以释放真实的学习。该项目将开发实践作业和项目，让学生使用借用的物联网套件在校外进行基于项目和问题的学习。此外，该项目将检查学生的有效性此外，该项目将通过使用物联网和处于当前物联网技术进步前沿的相关设备来研究一种新的实践远程学习范例。将开发学习材料和教学方案，使学生能够在以前不适合这种学习的情况下进行学习。这项研究将调查这种学习时间和空间的灵活性是否可以提高学生的自我效能和基于问题的学习技能。将进一步研究远程同伴协作学习将评估学生在远程协作学习环境中学习时的实践项目并探索学生之间的潜在差异，特别是在来自尚未公平代表的群体的学生的情况下。 STEM。项目成果将通过项目网站传播，供其他机构使用，以扩大 STEM 教育的参与范围。NSF IUSE：EHR 计划支持研究和开发项目，通过学生参与提高 STEM 教育的有效性。轨道，该程序支持创建、探索和实施有前途的实践和工具。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

Application of IoT-based sensing and signal processing for rehabilitation

• DOI: 10.1117/12.2622335
• 发表时间: 2022-06
• 作者: A. Moore;M. Mehrubeoglu;Aaron Mooney;L. McLauchlan

Real-time image processing in a multi-UAV system for structural surveillance through IoT platform

• DOI: 10.1117/12.2622362
• 发表时间: 2022-05
• 作者: J. Falcón;M. Mehrubeoglu;Pablo Rangel

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
• 作者: Villarreal, Amanda;Mehrubeoglu, Mehrube;Davila, Lawrence;McLauchlan, Lifford L.
• 通讯作者: McLauchlan, Lifford L.

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

• 发表时间: 2023
• 期刊: Proc. IEEE Frontiers in Education Conf.
• 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

• 发表时间: 2023
• 期刊: Proc. 2023 Annual ASEE Conference and Exposition
• 作者: Lifford McLauchlan;David Hicks;Mehrube Mehrubeoglu;Hemanth Kumar Reddy Bhimavarapu
• 通讯作者: Hemanth Kumar Reddy Bhimavarapu