ABSTRACT

The integration of artificial intelligence (AI) has the potential to address various challenges in the construction industry, including cost overruns, safety concerns, labor shortages, and productivity issues. However, the construction industry has been slow to adopt AI solutions due to a lack of construction professionals with appropriate AI understanding. Currently, very few construction programs incorporate AI literacy into their undergraduate curricula. This study aims to address this gap by developing a 2-h curriculum that teaches construction students AI literacy knowledge within the context of construction safety. The effectiveness of the curriculum was assessed through pre- and post-intervention questionnaires, which showed that the curriculum effectively enhanced construction students’ AI literacy level. This research provides a valuable foundation for the future integration of AI literacy components into construction curricula, which is crucial for the construction industry to catch up with other industries in adopting AI solutions.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Abioye, S. O., L. O. Oyedele, L. Akanbi, A. Ajayi, J. M. Davila Delgado, M. Bilal, O. O. Akinade, and A. Ahmed. 2021. “Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges.” Journal of Building Engineering, 44: 103299. https://doi.org/10.1016/j.jobe.2021.103299.
Chiang, T. 2021. “Estimating the Artificial Intelligence Learning Efficiency for Civil Engineer Education: A Case Study in Taiwan.” Sustainability, 13 (21): 11910. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/su132111910.
Chiu, T. K. F. 2021. “A Holistic Approach to the Design of Artificial Intelligence (AI) Education for K-12 Schools.” TechTrends, 65 (5): 796–807. https://doi.org/10.1007/s11528-021-00637-1.
Chou, J.-S., and C. Lin. 2013. “Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models.” Journal of Computing in Civil Engineering, 27 (1): 51–60. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000197.
Expressive Machinery Lab. 2020. “AI Literacy – AI Unplugged.” AI Unplugged. Accessed April 16, 2023. https://aiunplugged.lmc.gatech.edu/ai-literacy/.
Fang, W., L. Ding, P. E. D. Love, H. Luo, H. Li, F. Peña-Mora, B. Zhong, and C. Zhou. 2020. “Computer vision applications in construction safety assurance.” Automation in Construction, 110: 103013. https://doi.org/10.1016/j.autcon.2019.103013.
Jeong, D., and H. Alikhani. 2021. Artificial Intelligence (AI) Based Tool to Estimate Contract Time. Montana Dept. of Transportation.
Blanco, J. L., S. Fuchs, M. Parsons, and M. J. Ribeirinho. 2018. “Artificial intelligence: Construction technology’s next frontier | McKinsey.” Accessed October 21, 2022. https://www.mckinsey.com/capabilities/operations/our-insights/artificial-intelligence-construction-technologys-next-frontier.
Kristombu Baduge, S., S. Thilakarathna, J. Perera, A. Prof. M. Arashpour, P. Sharafi, B. Teodosio, A. Shringi, and P. Mendis. 2022. “Artificial Intelligence and Smart Vision for Building and Construction 4.0: Machine and Deep Learning Methods and Applications.” Automation in Construction, 141: 104440. https://doi.org/10.1016/j.autcon.2022.104440.
Long, D., and B. Magerko. 2020. “What is AI literacy? Competencies and design considerations.” Proceedings of the 2020 CHI conference on human factors in computing systems, 1–16.
Maitz, K., A. Fessl, V. Pammer-Schindler, R. Kaiser, and S. Lindstaedt. 2022. “What do Construction Workers Know about Artificial Intelligence? An Exploratory Case Study in an Austrian SME.” Proceedings of Mensch und Computer 2022, MuC ’22, 389–393. New York, NY, USA: Association for Computing Machinery.
Mohammadpour, A., E. Karan, and S. Asadi. 2019. “Artificial Intelligence Techniques to Support Design and Construction.” ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 1282–1289. Waterloo, Canada: IAARC Publications.
Naser, M. Z. 2022. “A Faculty’s Perspective on Infusing Artificial Intelligence into Civil Engineering Education.” J. Civ. Eng. Educ., 148 (4): 02522001. https://doi.org/10.1061/(ASCE)EI.2643-9115.0000065.
Regona, M., T. Yigitcanlar, B. Xia, and R. Y. M. Li. 2022a. “Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review.” JOItmC, 8 (1): 45. https://doi.org/10.3390/joitmc8010045.
Regona, M., T. Yigitcanlar, B. Xia, and R. Y. M. Li. 2022b. “Artificial Intelligent Technologies for the Construction Industry: How Are They Perceived and Utilized in Australia?” Journal of Open Innovation: Technology, Market, and Complexity, 8 (1): 16. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/joitmc8010016.
Schober, K.-S. 2020. “Artificial intelligence in the construction industry.” Roland Berger. Accessed April 12, 2023. https://www.rolandberger.com/en/Insights/Publications/Artificial-intelligence-in-the-construction-industry.html.
Son, H., C. Kim, and C. Kim. 2012. “Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables.” Automation in Construction, 27: 60–66. https://doi.org/10.1016/j.autcon.2012.05.013.
Southworth, J., K. Migliaccio, J. Glover, J. Glover, D. Reed, C. McCarty, J. Brendemuhl, and A. Thomas. 2023. “Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy.” Computers and Education: Artificial Intelligence, 4: 100127. https://doi.org/10.1016/j.caeai.2023.100127.
Stanford University. 2021. “U.S. AI job postings by industry 2020.” Statista. Accessed April 14, 2023. https://www.statista.com/statistics/1226678/ai-jobs-in-the-us-by-industry/.
Su, J., D. T. K. Ng, and S. K. W. Chu. 2023. “Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities.” Computers and Education: Artificial Intelligence, 4: 100124. https://doi.org/10.1016/j.caeai.2023.100124.
Sulmont, E., E. Patitsas, and J. R. Cooperstock. 2019. “Can You Teach Me To Machine Learn?” Proceedings of the 50th ACM Technical Symposium on Computer Science Education, SIGCSE ’19, 948–954. New York, NY, USA: Association for Computing Machinery.
Tenório, K., V. Olari, M. Chikobava, and R. Romeike. 2023. “Artificial Intelligence Literacy Research Field: A Bibliometric Analysis from 1989 to 2021.” Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, SIGCSE 2023, 1083–1089. New York, NY, USA: Association for Computing Machinery.
Uddin, S. M. J., A. Albert, A. Ovid, and A. Alsharef. 2023. “Leveraging ChatGPT to Aid Construction Hazard Recognition and Support Safety Education and Training.” Sustainability, 15 (9): 7121. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/su15097121.
US BLS. 2022. “TABLE A-1. Fatal occupational injuries by industry and event or exposure, all United States, 2021 : U.S. Bureau of Labor Statistics.” Injuries, Illnesses, and Fatalities. Accessed April 25, 2023. https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2021.htm.
Wang, B., P.-L. P. Rau, and T. Yuan. 2022. “Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale.” Behaviour & Information Technology, 0 (0): 1–14. Taylor & Francis. https://doi.org/10.1080/0144929X.2022.2072768.
Wanyan, Y., X. Chen, and D. Olowokere. 2017. “Integration of artificial intelligence methodologies and algorithms into the civil engineering curriculum using knowledge-based expert systems: A case study.” Engineering Education Letters, 2017 (1): 3. Hamad bin Khalifa University Press (HBKU Press). https://doi.org/10.5339/eel.2017.3.

Information & Authors

Information

Published In

Go to Construction Research Congress 2024
Construction Research Congress 2024
Pages: 40 - 49

History

Published online: Mar 18, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Jiun-Yao Cheng, S.M.ASCE [email protected]
1Ph.D. Student, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL. Email: [email protected]
Ajit Devkota [email protected]
2Ph.D. Student, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL. Email: [email protected]
Masoud Gheisari, Ph.D., A.M.ASCE [email protected]
3Associate Professor, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL. Email: [email protected]
Idris Jeelani, Ph.D., A.M.ASCE [email protected]
4Assistant Professor, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$190.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$190.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share