skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Search for: All records

Award ID contains: 2024656

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. Free, publicly-accessible full text available July 23, 2026
  2. Free, publicly-accessible full text available July 3, 2026
  3. Free, publicly-accessible full text available May 4, 2026
  4. The rapid advancements in Artificial Intelligence (AI) hold the promise of transformative benefits across industries, including construction. To navigate this changing landscape, construction students must not only harness AI's potential but also grasp its ethical considerations and potential challenges. As such, there is a growing imperative within construction education to foster AI literacy among prospective professionals. This study developed and integrated an AI in Construction course module into an undergraduate construction management course. The primary goal is to equip students with AI literacy, achieved through a comprehensive approach that encompasses both theoretical knowledge, covering essential AI concepts and their applications in construction, and practical hands-on experiences, exemplified by a project focused on computer vision for personal protective equipment (PPE) inspection. Results from the course module implementation show that students gained a basic understanding of AI fundamentals after the module, such as dataset annotation, model development, deployment, and evaluation. Qualitative feedback indicates students were motivated to explore further AI-related topics in construction, and several topics that are of their interest were identified. These findings affirm the effectiveness of the proposed module and offer valuable insights for further development and enhancement of AI-related modules in construction education. 
    more » « less
  5. Drones are increasingly being utilized in the construction industry, offering a wide range of applications. As these drones have to work with or alongside construction professionals, this integration could pose new safety risks and psychological impacts on construction professionals. Hence, it is important to understand their perceptions and attitudes towards drones and evaluate the cognitive demand of working with or near drones. Limited research has explored individuals' perceptions of drones, particularly when engaged in construction activities at job sites. This study specifically targets construction students, the future professionals in the field, to understand their responses to drone interactions on job sites. An immersive virtual reality construction site was developed using a VR game engine, allowing construction students to interact with drones while engaging in typical construction activities. Through a user-centered experiment, the influence of drone presence on construction students' attitude, cognitive workload, and perceived safety risk was evaluated. The results suggest that presence of drones did not significantly elevate cognitive load or foster significantly negative attitudes among construction students. Instead, they perceived only mild safety risks, suggesting a general acceptance and adaptability towards drone technology in construction settings. 
    more » « less