Journal of Information Technology in Construction
ITcon Vol. 27, pg. 273-289, http://www.itcon.org/2022/14
Unmanned aerial vehicles as educational technology systems in construction engineering education
DOI: | 10.36680/j.itcon.2022.014 | |
submitted: | June 2021 | |
revised: | December 2021 | |
published: | March 2022 | |
editor(s): | Amor R | |
authors: | Ivan Mutis, Assistant Professor
Illinois Institute of Technology, Chicago, Illinois, United States imutissi@iit.edu Pavlo “Pasha” Antonenko, Associate Professor University of Florida, Gainesville, Florida, United States p.antonenko@coe.ufl.edu | |
summary: | Integrating complex spatio-temporal cognitive tasks such as in-situ planning and trade coordination of job site activities is a continuous challenge to learners in Construction Engineering (CE) courses. Spatial information in this context addresses how physical resources are related to one another at a job site, whereas temporal information defines work sequences and hierarchies that transform physical resources. This paper discusses the impacts of using an innovative learning environment for supporting spatio-temporal cognition in CE education using aerial visualizations from Unmanned Aerial Vehicles (UAVs). Learners experience a unique, ‘birds-eye view’ of the spatio-temporal dynamics of a job site. The effects were on improved abilities to apply, analyze, and synthesize any form of design representation to situations and physical contexts. Our findings demonstrate that participants in the intervention group outperformed the control group on measures of learning and motivation, which underscores the potential of UAVs as an educational technology system in CE education. | |
keywords: | spatio-temporal cognition; unmanned aerial vehicles, aerial image learning; design interpretation; authentic problem learning | |
full text: | (PDF file, 0.801 MB) | |
citation: | Mutis I, Antonenko P (2022). Unmanned aerial vehicles as educational technology systems in construction engineering education, ITcon Vol. 27, pg. 273-289, https://doi.org/10.36680/j.itcon.2022.014 | |
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