Analysis of AI-Readiness of University Students Using AI-Competency Measurement Framework

Historically, technological progress has driven shifts in the labour market, leading to the disappearance of certain jobs while simultaneously creating new roles fueled by the need to work with emerging technologies. The technological advancements of the early 2020s are inherently linked to Artificial Intelligence (AI) and the rise in chatbots, whose accessibility and ease of use have become paramount for business development. Given this context, the aim of this study is to analyse frameworks describing the AI competencies of students who will constitute the future workforce. Based on an analysis of existing frameworks, a new framework is formulated through synthesis and operationalized into survey items representing AI-related competencies. These survey items are measured by primary research focused on a sample of undergraduate students at a selected faculty and university. The research provides valuable insights for curriculum development policy by highlighting competencies that students perceive as significant versus those they find less important. Building on these findings, the study offers policy recommendations for curriculum designers. The proposed recommendations enable the creation of educational programmes with relevance to the practical needs of the business sector, increasingly impacted by the emergence of AI.