AI in Construction Education: A Case Study on Introducing No-Code Computer Vision Modeling Through Project-Based Learning

10 pages•Published: July 23, 2025

Nana Kwabena Asamoah Antwi, Muhammad Arham and Kofi A. B. Asare

Abstract

The construction industry is increasingly embracing Artificial Intelligence (AI). This uptick in AI adoption has been met by a talent shortage, stemming from a lack of broader integration of AI in construction education. Existing research has looked at the introduction of AI through short modules with specific applications, along with calls for more research into challenges and learning opportunities incidental to this development. This study carried out a case study on an early attempt at AI education in construction, examining the impact of its content and project-based learning approach on the development of AI literacy. The study employed a qualitative approach, utilizing a focus group to gather in-depth insights from five students enrolled in the course. The study found a positive relationship between the project-based approach, course content, and the increased AI literacy of the participants. Cross-domain learning and industry-academia collaborations were identified as significant opportunities for AI education.

Keyphrases: artificial intelligence (ai), construction education, construction safety, project based learning

In: Wesley Collins, Anthony J. Perrenoud and John Posillico (editors). Proceedings of Associated Schools of Construction 61st Annual International Conference, vol 6, pages 31-40.

Links:	https://easychair.org/publications/paper/KCGT
	https://doi.org/10.29007/jqxg

BibTeX entry

@inproceedings{ASC2025:AI_Construction_Education_Case,
  author    = {Nana Kwabena Asamoah Antwi and Muhammad Arham and Kofi A. B. Asare},
  title     = {AI in Construction Education: A Case Study on Introducing No-Code Computer Vision Modeling Through Project-Based Learning},
  booktitle = {Proceedings of Associated Schools of Construction 61st Annual International Conference},
  editor    = {Wesley Collins and Anthony J. Perrenoud and John Posillico},
  series    = {EPiC Series in Built Environment},
  volume    = {6},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2632-881X},
  url       = {/publications/paper/KCGT},
  doi       = {10.29007/jqxg},
  pages     = {31-40},
  year      = {2025}}

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