RIVERA, E. J., & Calle Müller, C., & Rahat, R., & ElZomor, M. (2024, June), Empowering Future Construction Professionals by Integrating Artificial Intelligence in Construction-Management Education and Fostering Industry Collaboration  Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/47247

\bibitem{asee_peer_47247}
  RIVERA, E. J., \& Calle Müller, C., \& Rahat, R., \& ElZomor, M. (2024, June), \emph{Empowering Future Construction Professionals by Integrating Artificial Intelligence in Construction-Management Education and Fostering Industry Collaboration}
  Paper presented at 2024 ASEE Annual Conference \& Exposition, Portland, Oregon.
  https://peer.asee.org/47247

ERIKA JUDITH RIVERA P.E. , Claudia Calle Müller, Rubaya Rahat, and Mohamed ElZomor P.E..  "Empowering Future Construction Professionals by Integrating Artificial Intelligence in Construction-Management Education and Fostering Industry Collaboration".  2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024, June.  ASEE Conferences, 2024.  https://peer.asee.org/47247 Internet.  30 Jul, 2024

\bibitem{asee_peer_47247}
  ERIKA JUDITH RIVERA P.E. , Claudia Calle Müller, Rubaya Rahat, and Mohamed ElZomor P.E..
  "Empowering Future Construction Professionals by Integrating Artificial Intelligence in Construction-Management Education and Fostering Industry Collaboration".
  \emph{2024 ASEE Annual Conference \& Exposition, Portland, Oregon, 2024, June}.
  ASEE Conferences, 2024.
  https://peer.asee.org/47247 Internet.  30 Jul, 2024

@INPROCEEDINGS{asee_peer_47247
author = "ERIKA JUDITH RIVERA P.E. , Claudia Calle Müller, Rubaya Rahat, and Mohamed ElZomor P.E."
title = "Empowering Future Construction Professionals by Integrating Artificial Intelligence in Construction-Management Education and Fostering Industry Collaboration"
booktitle = "2024 ASEE Annual Conference \& Exposition"
year = "2024"
month = "June"
address = "Portland, Oregon"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/47247}
}

TY  - CPAPER
AB  - Integrating Artificial Intelligence (AI) into construction management education is pivotal in equipping aspiring professionals with the requisite tools and competencies to excel in an ever-evolving construction industry. The incorporation of AI in construction management education not only enables students to acquire valuable skills but also prepares them to confront the challenges and possibilities that AI brings to the construction sector. This, in turn, can lead to more streamlined and sustainable construction practices in the years to come. The primary objective of this study is to propose curriculum enhancements that equip construction management students with a deep understanding of AI and recommendations for academic institutions to collaborate with industry to maximize hands-on involvement. To attain this goal, the research adopts a comprehensive mixed-method approach, systematically collecting both quantitative and qualitative data through questionnaire surveys presented in concept mapping and data analysis. The findings of the study underscore a pressing need for construction management programs to introduce dedicated courses or modules centered around AI in construction management. These courses should cover a range of topics, including AI applications in project scheduling, risk assessment, supply chain optimization, and predictive analytics. Fundamental AI concepts, such as machine learning, neural networks, natural language processing, and computer vision, should be integrated, demonstrating their relevance to construction management. Moreover, students should gain access to AI tools and software for practical application. Furthermore, the study recommendations advocate for stronger collaboration between academia and industry, encouraging construction companies and technology firms to provide students with internships, co-op opportunities, or access to real data sets for AI-related projects. In conclusion, this research endeavor seeks to augment our understanding of the significance of incorporating AI education into construction management programs and provides practical recommendations for the implementation of these initiatives.
AU  - ERIKA JUDITH RIVERA P.E. 
AU  - Claudia Calle Müller
AU  - Rubaya Rahat
AU  - Mohamed ElZomor P.E.
CY  - Portland, Oregon
DA  - 2024/06/23
PB  - ASEE Conferences
TI  - Empowering Future Construction Professionals by Integrating Artificial Intelligence in Construction-Management Education and Fostering Industry Collaboration
UR  - https://peer.asee.org/47247
ER  -