Development and validation of Generative AI Competence Scale (GenAIComp) among university students
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Seul Chan | - |
dc.contributor.author | Baby, Tiju | - |
dc.contributor.author | Vongvit, Rattawut | - |
dc.contributor.author | Lee, Jieun | - |
dc.contributor.author | Kim, Young Woo | - |
dc.contributor.author | Cha, Min Chul | - |
dc.contributor.author | Yoon, Sol Hee | - |
dc.date.accessioned | 2025-10-02T05:00:13Z | - |
dc.date.available | 2025-10-02T05:00:13Z | - |
dc.date.issued | 2026-03 | - |
dc.identifier.issn | 0160-791X | - |
dc.identifier.issn | 1879-3274 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/126597 | - |
dc.description.abstract | The rapid development of Generative Artificial Intelligence (Generative AI) across several sectors underscores the need for a systematic tool to evaluate AI competence. Current digital literacy frameworks lack AI-specific competencies, resulting in inconsistencies in the assessment of AI competence. This study aims to establish a standardized assessment framework for Generative AI competence by identifying key skill factors and empirically validating a structured evaluation tool called the Generative AI Competence Scale (GenAIComp). The proposed GenAIComp has five essential factors: Information and Data Literacy, Communication and Collaboration, Digital Content Creation, Safety and Ethics, and Problem-Solving. A quantitative approach was employed, incorporating expert validation, pilot testing, and extensive empirical evaluation involving 1000 participants, principally university students. The factor analysis confirmed a robust 5-factor structure with strong psychometric properties. The final model demonstrated excellent fit indices, confirming its reliability and validity in assessing Generative AI competence across the five key factors. Research demonstrates that educational background considerably impacts AI competence, with individuals from technical disciplines showing a greater aptitude for problem-solving and content generation. Gender-based disparities were noted, with males achieving marginally higher scores in several factors, but with minimal effect sizes. Correlation analysis indicated that perceived AI expertise and frequency of AI utilization significantly influenced competence, especially in data literacy and problem-solving, and exhibited less correlation with ethical awareness. GenAIComp provides a reliable tool for assessing AI competence, helping educators, industry experts, and policymakers to design AI training programs and integrate AI literacy into curricula and thereby AI technology advancement in society. Future research should explore its applicability across cultures and include performance-based assessments to enhance AI competence. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Elsevier Ltd | - |
dc.title | Development and validation of Generative AI Competence Scale (GenAIComp) among university students | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1016/j.techsoc.2025.103059 | - |
dc.identifier.scopusid | 2-s2.0-105016463418 | - |
dc.identifier.bibliographicCitation | Technology in Society, v.84 | - |
dc.citation.title | Technology in Society | - |
dc.citation.volume | 84 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | AI competence | - |
dc.subject.keywordAuthor | Digital literacy | - |
dc.subject.keywordAuthor | GenAIComp | - |
dc.subject.keywordAuthor | Generative AI | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.