Download PDFOpen PDF in browser

Competency Framework for AI in Construction: Shaping Learning Outcomes for the Next Generation

10 pagesPublished: July 23, 2025

Abstract

The unprecedented adoption of artificial intelligence (AI) necessitates a systematic understanding of the core knowledge, skills, and abilities (KSAs)—hereafter referred to as competencies—required for AI implementation in the construction industry. Universities offering construction-related programs must acknowledge this transformation and develop curricula to ensure graduates are AI-proficient. These educational initiatives require a competency framework that delineates the essential KSAs for construction program graduates. However, such a framework is currently lacking. This paper addresses this gap by conducting a qualitative meta-analysis of significant AI training programs to develop a competency framework for guiding intended learning outcomes (ILOs) in construction education. Through comprehensive review, analysis, and synthesis of relevant sources, this study establishes a foundational framework that serves both as a catalyst for developing construction program intended learning outcomes (ILOs) and as a basis for scholarly discourse on framework refinement through industry engagement and needs assessment.

Keyphrases: abilities, artificial intelligence, curriculum development, intended learning outcomes

In: Wesley Collins, Anthony J. Perrenoud and John Posillico (editors). Proceedings of Associated Schools of Construction 61st Annual International Conference, vol 6, pages 472-481.

BibTeX entry
@inproceedings{ASC2025:Competency_Framework_AI_Construction,
  author    = {M. Reza Hosseini and Manideep Tummalapudi and Wei Wu and Bradley Hyatt and Valerie Francis},
  title     = {Competency Framework for AI in Construction: Shaping Learning Outcomes for the Next Generation},
  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/mWvd},
  doi       = {10.29007/xpsc},
  pages     = {472-481},
  year      = {2025}}
Download PDFOpen PDF in browser