ArticleBMC medical education2026
Factors associated with job finding anxiety among senior health sciences students: the role of attitudes toward artificial intelligence.
Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundToday, university students are experiencing increasing anxiety about finding a job after graduation. One of the factors intensifying this concern is the rapid advancement of artificial intelligence (AI) technologies and their potential to replace human labor in certain professions.
methodsThis study examined the association between attitudes toward AI and job finding anxiety (JFA), as well as other factors related to JFA, among senior students in health-related disciplines. The study was conducted as an analytical cross-sectional design. Data were collected using the Descriptive Information Form, the General Attitude Towards Artificial Intelligence Scale, and the Job Finding Anxiety Scale. The study population consisted of 478 students, and the sample included 326 senior students in the Faculty of Health Sciences at a university between November and December 2024.
resultsThe analysis revealed that internet technology usage status, department, and knowledge about the use of AI in healthcare were significantly associated with students' JFA. The multiple regression model explained 16.9% of the variance in JFA (adjusted R² = 0.169). A weak positive correlation was found between students' internet technology use and their JFA scores (r = 0.168, p < 0.05). No significant relationship was identified between students' attitudes toward AI and their JFA.
conclusionsThe findings indicate that students' JFA is shaped more by their academic context, use of internet technologies, and knowledge of the application of AI in healthcare than by their general attitudes toward AI. Accordingly, strategies to reduce JFA among health sciences students should prioritize the development of AI-related professional competence rather than attempting to modify general attitudes toward AI. CLINICAL TRIAL NUMBER: not applicable.
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