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Integrating Construction Engineering and Geospatial Technician Projects

Integrating Construction Engineering and Geospatial Technician Projects
整合建筑工程和地理空间技术人员项目
批准号:
1764427
负责人:
Jeffery Sires
金额:
$22.48万
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
项目状态:
已结题
起止时间:
2018-07-01 至 2022-06-30

项目摘要

项目成果

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中文摘要
翻译
根据国家数据和达拉斯/沃斯堡建筑相关行业的具体投入,对具有使用基于位置的数据技能的地理空间和建筑工程技术人员存在巨大需求。为了在这些领域教育学生,必须在课程材料中进行变革。 作为回应,得克萨斯州布鲁克海文学院将与业界合作,确定所需的课程修订,并将创建学习模块,以教育地理空间和工程技术人员了解支持土木和建筑工程的空间数据技术。通过将真实世界的服务学习经验纳入课程,该项目将寻求为技术人员进入土木工程,商业建筑和地理空间技术等高薪行业做好准备。该机构将使新课程与新兴的施工优化领域(http://constructioneering.com/)保持一致,以教育准备管理和整合调查,工程和施工数据的建筑行业专业人员,并简化施工工作流程并改善项目交付。该项目还将努力创造一种环境,使学生能够掌握工程和地理空间技术方面的跨学科知识和技术技能。 课程改革还旨在促进21世纪世纪的职业准备能力,利用技术来提高效率和降低成本。该项目旨在作为跨学科技术教育方法的国家模式。该项目将调查成像,空间智能技术和分析技术的最新进展,并通过两种方式将这些技术应用到新的教学材料中:通过创建新的内容模块来满足工程和商业建筑行业的需求;以及通过在整个内容模块中整合跨学科的现场经验。这些实地经验可能有助于缩小当前课程与现实世界中快速发展的技术应用之间的差距,并使学生团队能够学习和实践工作所需的知识,技能和能力。 预计技术人员将因此了解相关地理空间、建筑和工程学科之间的联系,并将更好地准备满足建筑工程相关行业的需求。课程材料将被设计用于社区学院工程和地理空间技术人员教育计划,以及在职员工的专业发展。参加该计划的毕业生有可能成为资源和榜样,并可能扩大社区合作机会。除了为更多传统学生提供服务外,该项目还将从传统上在科学,技术,工程和数学(STEM)领域代表性不足的人群中招募学生(例如,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。
英文摘要
Based on national data and specific input from Dallas/Fort Worth construction-related industries, great demand exists for geospatial and construction engineering technicians who have skills in the use location-based data. To educate students in these areas, transformative changes must be made within curricular material. In response, Brookhaven College in Texas will engage industry to identify needed curricular revisions and will create learning modules to educate geospatial and engineering technicians about the spatial data technologies that support civil and construction engineering. By incorporating real-world, service-learning experiences into the curriculum, the project will seek to prepare technicians to enter the well-paying industries of civil engineering, commercial construction, and geospatial technology. The institution will align the new curriculum with the emerging field of constructioneering (http://constructioneering.com/) to educate construction industry professionals who are prepared to manage and integrate survey, engineering, and construction data, and to streamline construction workflows and improve project delivery. The project will also strive to create an environment that allows students to master interdisciplinary knowledge and technical skills in both engineering and geospatial technology. The curriculum changes also aim to promote 21st century career-ready abilities that use technologies to improve efficiency and lower costs. This project is designed to serve as a national model for cross-disciplinary approaches to technology education. The project will investigate recent advances in imaging, spatial intelligence techniques, and analysis technologies, and adopt and adapt those technologies into new instructional materials in two ways: by creating new content modules that serve the needs of engineering and commercial construction industries; and by integrating cross-disciplinary field experiences throughout the content modules. These field experiences may help close the identified skills gaps between current curricula and real-world rapidly advancing technology applications and allow student teams to learn and practice the knowledge, skills and abilities needed on the job. It is expected that, as a result, technicians will understand connections between related geospatial, construction, and engineering disciplines and will be better prepared to meet the needs of construction engineering-related industries. The curriculum materials will be designed for use in community college engineering and geospatial technician education programs, as well as for professional development by the incumbent workforce. Graduates who participate in this program have the potential to become resources and role models, and may expand community partnership opportunities. In addition to serving more traditional students, the project will also recruit students from a population traditionally underrepresented in science, technology, engineering, and mathematics (STEM) fields (e.g., African American, Hispanic, and low-income students) and will create curricular materials based on research on how these groups learn.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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