Augmented Learning for Environmental Robotics Technologies: A Data-Driven Approach for Sustainable Built Environments

环境机器人技术的增强学习：可持续建筑环境的数据驱动方法

• 批准号: 2315647
• 负责人: Shahin Vassigh
• 金额: $ 39.94万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2315647&HistoricalAwards=false
• 关键词: Augmented; Learning; Environmental; Robotics; Technologies

The Augmented Learning for Environmental Robotics Technologies (ALERT) aims to serve the national interest by developing and testing an Augmented Reality (AR) learning platform for Architecture, Engineering, and Construction (AEC) students to prepare them for working with environmental data and robotics. ALERT will be designed to address the training needs of the AEC industry, which is expected to face disruptions due to robotic automation. ALERT will leverage advancements in Artificial Intelligence (AI), AR, and information technologies to create immersive, interactive, and data driven environmental robotic learning environments. It will integrate an AI-powered intelligent learning systems with AR to collect and analyze learner performance data to customize learning experiences and improve learning outcomes. ALERT will also develop a novel interdisciplinary curriculum focusing on environmental monitoring and data visualization for sustainable building design and construction. The project will address the need to prepare the AEC students to capture, analyze, and apply environmental data in order to reduce the impacts of human development and construction. It will also address the shortage of a skilled workforce in the AEC industry, focusing on the sustainability of the built environment. ALERT will provide a technology-rich learning experience, which will enhance students' competitiveness for future jobs. By developing and testing ALERT at Florida International University, one of the largest majority-minority student populations, the project will take advantage of a unique opportunity to create a curriculum tailored to diverse learners. Project results will be disseminated through various channels including webinars, press releases, publications, and presentations in a variety of disciplinary and interdisciplinary venues. The project team plans to utilize social media as a vehicle to communicate with interested students and educators. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its 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.

环境机器人技术增强学习（ALERT）旨在通过为建筑，工程和建筑（AEC）学生开发和测试增强现实（AR）学习平台，为他们处理环境数据和机器人技术做好准备，从而为国家利益服务。ALERT旨在满足AEC行业的培训需求，该行业预计将面临机器人自动化带来的中断。ALERT将利用人工智能（AI）、增强现实（AR）和信息技术的进步，创建沉浸式、交互式和数据驱动的环境机器人学习环境。它将集成AI驱动的智能学习系统与AR，以收集和分析学习者的表现数据，从而定制学习体验并提高学习效果。ALERT还将开发一个新的跨学科课程，重点是可持续建筑设计和施工的环境监测和数据可视化。该项目将解决需要准备AEC学生捕捉，分析和应用环境数据，以减少人类发展和建设的影响。它还将解决AEC行业熟练劳动力短缺的问题，重点关注建筑环境的可持续性。ALERT将提供技术丰富的学习体验，这将提高学生未来就业的竞争力。通过在佛罗里达国际大学开发和测试ALERT，该项目将利用一个独特的机会，为不同的学习者量身定制课程。项目成果将通过各种渠道传播，包括网络研讨会、新闻稿、出版物以及在各种学科和跨学科场所的演示。项目团队计划利用社交媒体作为与感兴趣的学生和教育工作者沟通的工具。NSF IUSE：EDU计划支持研究和开发项目，以提高所有学生STEM教育的有效性。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。