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Title:AI Literacy Among University Students : a comparative study of three countries—Slovenia, Croatia, and India
Authors:ID Rožman, Maja (Author)
ID Oreški, Dijana (Author)
ID Elias, Arun A. (Author)
ID Pynadath, Minnu F. (Author)
ID Tominc, Polona (Author)
Files:URL https://ieeexplore.ieee.org/document/11039828
 
.pdf RAZ_Rozman_Maja_2025.pdf (3,52 MB)
MD5: 24015EB8F8D47B1B311F0592A5A834C0
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:EPF - Faculty of Business and Economics
Abstract:This study investigates artificial intelligence (AI) literacy among university students from Slovenia, Croatia, and India, focusing on variations in their understanding of AI concepts and applications across different educational systems. The sample comprised 471 students from the business studies programmes in Slovenia, Croatia and India. Data were collected through a structured online questionnaire, and statistical analyses utilized descriptive statistics and independent samples proportions to identify significant differences in AI literacy levels across the three countries. The findings reveal substantial disparities in AI literacy. Croatian students demonstrated foundational and practical knowledge of AI, reflecting well-developed educational frameworks. Indian students excelled in interdisciplinary and applied aspects of AI, though their understanding of theoretical concepts revealed notable gaps. Slovenian students showed the greatest need for improvement, particularly in foundational knowledge, practical applications, and ethical considerations. The results also highlight universal challenges, such as gaps in understanding AI’s ethical and legal implications, underscoring the need for all educational systems to incorporate discussions on accountability and societal impacts into their curricula. These findings offer actionable recommendations for educational policy and curriculum design to enhance AI literacy globally and prepare students for the challenges and opportunities of an AI-driven world. This study contributes to the literature by enhancing the understanding of how AI literacy manifests across diverse educational systems, providing comparative insights to support globally relevant curriculum development and digital skills advancement.
Keywords:AI literacy, students, higher education, artificial intelligence
Publication status:Published
Publication version:Version of Record
Submitted for review:27.05.2025
Article acceptance date:16.06.2025
Publication date:18.06.2025
Year of publishing:2025
Number of pages:str. 110671-110688
Numbering:Vol. 13
PID:20.500.12556/DKUM-95886 New window
UDC:004.8
ISSN on article:2169-3536
COBISS.SI-ID:241598211 New window
DOI:10.1109/ACCESS.2025.3581128 New window
Publication date in DKUM:05.11.2025
Views:237
Downloads:6
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:IEEE access
Publisher:Institute of Electrical and Electronics Engineers
ISSN:2169-3536
COBISS.SI-ID:519839513 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P5-0023-2020
Name:Podjetništvo za inovativno družbo

Funder:HRZZ - Croatian Science Foundation
Funding programme:Croatian Science Foundation (CSF)
Project number:UIP-2020-02-6312
Name:SIMON: Intelligent system for automatic selection of machine learning algorithms in social sciences

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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