Download PDFOpen PDF in browserCompetency Framework for AI in Construction: Shaping Learning Outcomes for the Next Generation10 pages•Published: July 23, 2025AbstractThe 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.
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