RET Site: Cross-disciplinary Research Experiences on Smart Cities for Nevada Teachers: Integrating Big Data into Robotics

RET 网站：内华达州教师智慧城市跨学科研究经验：将大数据集成到机器人技术中

• 批准号: 1801727
• 负责人: Lei Yang
• 金额: $ 58.11万
• 依托单位: Board of Regents, NSHE, obo University of Nevada, Reno
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1801727&HistoricalAwards=false
• 关键词: RET; Site; Cross; disciplinary; Research

This Research Experiences for Teachers (RET) Site at the University of Nevada Reno aims to deliver a unique holistic research experience to K-12 teachers of Nevada in relation to future smart cities and the cutting edge topics of robotics and big data, as well as their intersection. The overarching goal is to enable a critical mass of teachers in Nevada to be able to help their students develop a passion for these domains, strengthen their critical thinking, and broadly nurture an interest to excel in STEM fields. Research in the respective domains is currently of paramount importance in order to address the multitude of open challenges to achieve truly autonomous driving and the realization of smart cities. The relevance and significance of cross-disciplinary research in robotics and big data cannot be overstated in the context of STEM education and its potential is daily growing. This site will attract K-12 teacher participants to STEM education by providing tangible research experiences and appropriately designed knowledge modules, in turn enhancing the STEM education for their students and further designing and deploying transferable research and education tools for the school environment.This project aims to nurture an interest and passion for robotics and big data research to K-12 teachers of all levels, especially from the perspective of their intersection for smart cities. The RET Site will provide a tangible experience through a) educational activities on the fundamental principles of autonomous driving, machine learning, and big data, b) a custom-designed, miniaturized, and transferable test-bed of smart cities called "Robocity", and c) hands-on activities on an instrumented electric bus and a drive-by-wire Lincoln MKZ autonomous car. Through the envisioned activities, it is anticipated that Nevada teachers will be actively engaged and gain knowledge and research experiences in robotic perception and machine learning, control, path planning, big data analytics, and big data system design. To enhance the quality of STEM education in local K-12 schools at all levels, a team with both senior and young faculty has been assembled to support the development of curricular modules and provide a set of mechanisms that allow research to be seamlessly transferred to the school environment. The project will engage a thorough plan for project evaluation and a participant recruitment process that focuses on underrepresented groups and respective student populations. To ensure that the developed skills acquired by teachers are transferred to the classroom, the PI team will engage in follow-up activities with the RET participants to support the installation of Robocity. The PI team will also offer demonstrations and tangible exercises at schools, as well as workshops at the University of Nevada, Reno.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.

内华达大学里诺分校的教师研究体验 (RET) 网站旨在为内华达州 K-12 教师提供独特的整体研究体验，涉及未来智慧城市、机器人和大数据的前沿主题，以及他们的交集。总体目标是让内华达州的大量教师能够帮助学生培养对这些领域的热情，加强他们的批判性思维，并广泛培养在 STEM 领域取得优异成绩的兴趣。目前，为了解决实现真正的自动驾驶和智慧城市的众多开放挑战，各个领域的研究至关重要。在 STEM 教育背景下，机器人和大数据跨学科研究的相关性和重要性怎么强调都不为过，而且其潜力与日俱增。该网站将通过提供切实的研究经验和适当设计的知识模块来吸引 K-12 教师参与者参与 STEM 教育，从而增强学生的 STEM 教育，并进一步为学校环境设计和部署可转移的研究和教育工具。该项目的目标培养各级 K-12 教师对机器人和大数据研究的兴趣和热情，特别是从智慧城市交叉点的角度。 RET 站点将通过以下方式提供切实的体验：a) 关于自动驾驶、机器学习和大数据基本原理的教育活动，b) 名为“Robocity”的定制设计、小型化和可转移的智慧城市测试平台， c) 仪表化电动巴士和线控林肯 MKZ 自动驾驶汽车的实践活动。通过设想的活动，预计内华达州教师将积极参与并获得机器人感知和机器学习、控制、路径规划、大数据分析和大数据系统设计方面的知识和研究经验。为了提高当地K-12各级学校的STEM教育质量，我们组建了一支由资深和年轻教师组成的团队来支持课程模块的开发，并提供一套让研究成果无缝转移到学校的机制。学校环境。该项目将制定全面的项目评估计划和参与者招募流程，重点关注代表性不足的群体和各自的学生群体。为了确保教师所掌握的技能能够转移到课堂上，PI 团队将与 RET 参与者一起开展后续活动，以支持 Robocity 的安装。 PI 团队还将在学校以及内华达大学雷诺分校提供演示和实际练习。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。