Collaborative Research: Embodied Interactive Environment for Advancing Data Sensing and Computational Thinking Skills in the Built Environment

协作研究：在建筑环境中提升数据感知和计算思维技能的具体交互环境

• 批准号: 2241787
• 负责人: Yewande Abraham
• 金额: $ 29.84万
• 依托单位: Rochester Institute of Tech
• 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: 2023-03-01 至 2027-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2241787&HistoricalAwards=false
• 关键词: Collaborative; Research; Embodied; Interactive; Environment

As the construction industry gears toward adopting data sensing technologies, there is a demand for creating and sustaining a workforce with skills for implementing the technologies and analyzing the resulting data to support decision-making. It is also essential to improve awareness of this Science, Technology, Engineering, and Mathematics (STEM) career option among all K-12 students, develop their understanding of the applications of data sensing technologies and improve their computational thinking skills in manipulating and using data. This project aims to investigate an immersive virtual reality-based learning environment for developing middle school students’ computational thinking skills necessary to address construction challenges and improving students’ engagement and attitudes towards STEM-related careers in the construction industry. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers. This research will develop a DAta Sensing Learning EnvironmenT (called DASLET) to investigate how students’ computational thinking can be developed in addressing construction industry challenges with data sensing technologies and improve their engagement and attitudes toward STEM-related careers. Within DASLET, students can learn how to safely work with different data sensing technologies on a virtual construction site, translate sensor data into computational rules and extract meaningful information to support decision-making. The research will first develop a virtual reality-based learning environment that can facilitate tangible interaction with data sensing technologies to equip middle school students with skills for addressing construction risks. Next, working closely with middle school teachers, strategies will be developed for adapting applications of data sensing technologies in construction and the proposed learning environment to the middle school curriculum. Using mixed methods and multilevel modeling, the research team will implement DASLET with approximately 40 teachers and 120 students, and develop theories to explain how embodied interaction within the learning environment can enhance students’ computational thinking, improve engagement with data sensing technologies, and interest in data sensing and STEM-related careers in the built environment. The development of DASLET will involve industry practitioners and teachers from diverse groups including females and underrepresented minorities. It will be implemented in the schools and summer camps that serve students from groups that are underrepresented in STEM.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.

随着建筑行业转向采用数据传感技术，需要创建和维持一支具有实施技术和分析结果数据以支持决策技能的劳动力队伍。提高所有 K-12 学生对科学、技术、工程和数学 (STEM) 职业选择的认识，加深他们对数据传感技术应用的理解，并提高他们在操作和使用数据方面的计算思维技能也至关重要。该项目旨在研究基于虚拟现实的沉浸式学习环境，以培养中学生应对建筑挑战所需的计算思维技能，并提高学生对建筑行业 STEM 相关职业的参与度和态度。该项目由学生和教师创新技术体验 (ITEST) 计划资助，该计划支持加深对实践、计划要素、背景和流程的理解的项目，有助于增加学生对科学、技术、工程和数学 (STEM) 以及信息和通信技术 (ICT) 职业的知识和兴趣。 这项研究将开发一个数据传感学习环境（称为 DASLET），以研究如何发展学生的计算思维，以利用数据传感技术应对建筑行业的挑战，并提高他们对 STEM 相关职业的参与度和态度。在 DASLET 中，学生可以学习如何在虚拟建筑工地上安全地使用不同的数据传感技术，将传感器数据转换为计算规则并提取有意义的信息以支持决策。该研究将首先开发一个基于虚拟现实的学习环境，该环境可以促进与数据传感技术的有形交互，使中学生掌握应对施工风险的技能。接下来，将与中学教师密切合作，制定策略，使数据传感技术在建筑中的应用以及拟议的学习环境适应中学课程。研究团队将使用混合方法和多级建模，与大约 40 名教师和 120 名学生一起实施 DASLET，并开发理论来解释学习环境中的具体交互如何增强学生的计算思维、提高对数据传感技术的参与度以及对建筑环境中数据传感和 STEM 相关职业的兴趣。 DASLET 的开发将涉及来自不同群体的行业从业者和教师，包括女性和代表性不足的少数族裔。它将在学校和夏令营中实施，为 STEM 中代表性不足的群体的学生提供服务。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。