Artificial Intelligence and Simulated Virtual Models in Teaching Construction Courses
Publication: Construction Research Congress 2024
ABSTRACT
Artificial intelligence (AI) and simulated virtual models (SVMs) have influenced construction practices by making activities safer, error-free, efficient, cost-effective, high quality, connected, and transparent. With significant advancements, it is anticipated that new courses will be needed to familiarize students with applicable AI and SVMs. A course to introduce AI and SVMs was offered at a state university, but the students requested a more visual and hands-on approach to establish connections between real-world engineering challenges and AI. A ride-on excavator toy was converted into a robot replicating real-world excavator operations of pick-up dirt and dumping at a specific location. In addition, a 3D simulation SVMs was developed for enhancing teaching learning. The use of the robot as a hands-on tool created significant interest in civil engineering and computer engineering students. The learning experience was captured through a structured questionnaire survey, and the analysis shows higher levels of student interest in learning AI applications for construction.
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Published online: Mar 18, 2024
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Construction engineering
- Construction management
- Construction methods
- Education
- Engineering education
- Engineering fundamentals
- Errors (statistics)
- Excavation
- Mathematics
- Models (by type)
- Practice and Profession
- Simulation models
- Statistics
- Students
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