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Original article
- Medical Education
- Mediating effect of technostress on the relationship between artificial intelligence literacy and attitude toward digital technology among health professions students: a structural equation modeling approach
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Jin Young Lee
, Yul Ha Min, Jun Yim, Kwi Hwa Park, So Jung Yune - J Yeungnam Med Sci. 2026;43:7. Published online December 30, 2025
- DOI: https://doi.org/10.12701/jyms.2026.43.7
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- 3 Crossref
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Abstract
PDF - Background
This study aimed to examine the effect of artificial intelligence (AI) literacy on attitudes toward digital technology and the mediating effect of technostress on this relationship among health professions students.
Methods
An online survey was conducted from May to October 2025 with 1,314 students enrolled in medical schools, nursing schools, dental schools, and graduate schools of dentistry nationwide. Structural equation modeling and bootstrapping analyses were performed.
Results
The analysis revealed that AI literacy significantly reduced technostress and enhanced attitudes toward digital technology. Technostress also had a negative effect on attitudes toward digital technology, and a partial mediating effect was identified in the relationship between AI literacy and attitudes toward digital technology. In other words, higher levels of AI literacy were associated with lower technostress, which, in turn, led to more positive attitudes toward digital technology. Multigroup analysis further showed that the effect of AI literacy on technostress differed across majors, being significant for medical and nursing students, but not for dental students.
Conclusion
This study confirmed that improving AI literacy reduces technology-related stress and promotes positive attitudes toward digital technology. These findings suggest the need for AI and digital technology education designs that consider the psychological factors of learners in medical education. Furthermore, the observed group differences suggest that AI literacy may function differently depending on discipline-specific technological and educational contexts. -
Citations
Citations to this article as recorded by
- AI health literacy as a foundation for responsible AI in healthcare: a framework for trustworthy implementation
Olga Tzortzatou Nanopoulou
Frontiers in Digital Health.2026;[Epub] CrossRef - Artificial intelligence anxiety: a narrative review of psychiatric conceptualization and clinical management
So Hye Jo
Journal of Yeungnam Medical Science.2026; 43: 54. CrossRef - Artificial intelligence readiness and its association with artificial intelligence literacy among Chinese medical students: a latent profile analysis
Zongsheng Tang, Shuhong Song, Xinyue Chen, Jiaxu Qin, Yan Li, Jingjing Yu, Chen Yu, Huan Liu, Xiangxiang Tao
Frontiers in Public Health.2026;[Epub] CrossRef
- AI health literacy as a foundation for responsible AI in healthcare: a framework for trustworthy implementation
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