Preparing Future Transportation Construction Professionals: Developing a Course Module on AI use in Construction for Undergraduates
Artificial intelligence (AI) is transforming the ways many transportation professionals complete their work. In the construction field, AI is helping professionals with tasks ranging from construction planning and scheduling to risk and safety management. To ensure the future construction workforce is ready to leverage technology to improve the quality and efficiency of transportation infrastructure projects, construction management and construction engineering students need to have lessons in industry use of AI as part of their undergraduate degree programs. In this project the research team will interact with technology leaders in construction companies to understand construction industry tasks and roles AI is currently supporting or expected to support in the near future. With this insight the team will develop a new learning module for a relevant construction course. This learning module will accomplish two key goals, (1) the module will introduce transportation related content into construction courses and (2) the module will demonstrate how traditional curricula can be updated and transformed to meet the changes demanded by AI. The learning module will be shared with other construction and engineering educators by placing the module in a teaching repository and by presenting the work at education focused conferences such as Associated Schools of Construction (ASC) or American Society for Engineering Education (ASEE).
Language
- English
Project
- Status: Active
- Funding: $71,500.00
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Contract Numbers:
69A3552348308
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Center for Transformative Infrastructure Preservation and Sustainability
North Dakota State University
Fargo, North Dakota United States 58108-6050 -
Project Managers:
Tolliver, Denver
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Performing Organizations:
Department of Civil and Environmental Engineering
Campus Delivery 1372
Fort Collins, CO United States 80523 -
Principal Investigators:
Atadero, Rebecca
Ozbek, Mehmet
- Start Date: 20250514
- Expected Completion Date: 20270513
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: CTIPS-045
Subject/Index Terms
- TRT Terms: Artificial intelligence; College students; Construction engineering; Curricula; Education and training; Transportation careers
- Subject Areas: Construction; Data and Information Technology; Education and Training; Transportation (General);
Filing Info
- Accession Number: 01955307
- Record Type: Research project
- Source Agency: Center for Transformative Infrastructure Preservation and Sustainability
- Contract Numbers: 69A3552348308
- Files: UTC, RIP
- Created Date: May 17 2025 9:06PM