ORIGINAL RESEARCH article
Front. Educ.
Sec. Digital Education
Comparison of Artificial Intelligence Literacy of University Students
Provisionally accepted
- 1Faculty of Technology Woodworking Industrial Engineering, Mugla University, Muğla, Türkiye
- 2Mugla Sitki Kocman Universitesi, Mugla, Türkiye
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This study aims to compare and evaluate artificial intelligence literacy of university students according to a number of variables. The study used a correlational survey model based on quantitative research approaches. The sample of the study consists of university students enrolled at Muğla Sıtkı Koçman University. In this sense, there were 504 students from all grade levels studying at the Faculty of Technology, Faculty of Education, Faculty of Health Sciences, and Tourism Vocational School included in the sample. The scale consists of three factors—technical understanding, critical appraisal, and practical application—and 31 items. Regarding the reliability and item discrimination of the scale, the reliability coefficients of the Turkish version of the scale range from 0.97 to 0.98 for the sub-factors, and the overall reliability coefficient of the scale is 0.99. Jamovi (2023) and SPSS software were used to evaluate the normality assumption in the analysis of the data and to carry out the analysis process. Results of the study reveal that the artificial intelligence literacy scale did not show a significant difference according to gender for all three dimensions; according to faculty variable, the technical understanding average score ranks in the Faculty of Technology and the Faculty of Health Sciences were significantly higher than those of students in other faculties; according to department, there was a significant difference in the total score average ranks; the total average score of Computer Systems Engineering is significantly higher than those of other departments; according to the department variable, the total average score of Computer Systems Engineering is higher than others; according to the age factor, the total average scores of the 21-24 age group is significantly higher than those of the 18-20 age group.
Keywords: artificial intelligence, Artificial Intelligence literacy, digital competence, higher education, woodworking industrial engineering
Received: 28 Nov 2025; Accepted: 10 Feb 2026.
Copyright: © 2026 Çetin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Tahsin Çetin
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