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.

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Publication Details

Journal
Education Sciences
Published
2026-04-27
DOI
https://doi.org/10.3390/educsci16050692
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Roman Chinoracký, Margita Majerčáková, Natália Stalmašeková, Rebecca Neumannová
Education Sciences
AI in Service Interactions
article

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

Roman Chinoracký, Margita Majerčáková, Natália Stalmašeková, Rebecca Neumannová
article en

Abstract

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.

Education SciencesVol. 16(5)
University of Žilina (SK)
Agentúra na Podporu Výskumu a Vývoja
Decent work and economic growth
Openalex Percentile: Top 5%
AI in Service Interactions
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