Artificial Intelligence Anxiety Levels of Faculty of Health Sciences Students and Affecting Factors

dc.authorscopusid59477307600
dc.authorscopusid59711867300
dc.authorscopusid59711867400
dc.contributor.authorÇoban, N.
dc.contributor.authorKar, D.
dc.contributor.authorBerk, Ş.N.
dc.date.accessioned2025-04-16T00:05:34Z
dc.date.available2025-04-16T00:05:34Z
dc.date.issued2025
dc.departmentOkan Universityen_US
dc.department-tempÇoban N., Department of Nursing, İstanbul Okan University, Faculty of Health Sciences, İstanbul, Turkey; Kar D., İstanbul, Turkey; Berk Ş.N., İstanbul, Turkeyen_US
dc.description.abstractObjective: Artificial intelligence (AI) technology advancements are poised to bring significant changes to the healthcare field. As the adoption of AI systems in healthcare continues to grow, there is an increasing need to equip future healthcare professionals with the necessary knowledge and skills to work effectively with these technologies. This study explores the level of anxiety related to AI and examines the factors influencing this anxiety among university students enrolled in health sciences programs. Methods: This cross-sectional study was descriptive and correlational. The study was carried out with 450 students at the İstanbul Gedik University, Faculty of Health Sciences (Department of Nursing, Physiotherapy and Rehabilitation, Child Development, Nutrition and Diet, Occupational Health and Safety). A descriptive questionnaire and an AI anxiety scale were used to obtain the research data, which were analyzed using numerical data, descriptive statistics, analysis of variance, independent groups t-test, and post-hoc analysis. Results: The mean total score on the Artificial Intelligence Anxiety Scale (AIAS) was 109.642 ± 30.452 (min = 42; max = 147). Among the sub-dimensions of the AIAS, the mean of the Learning sub-dimension was 41.096 ± 12.083 (min = 16; max = 56), the mean of the Job Change sub-dimension was 31.118 ± 9.022 (min = 12; max = 42), the mean of the Sociotechnical Blindness sub-dimension was 21.558 ± 5.892 (min = 8; max = 28), and the mean of the AI Configuration sub-dimension was 15.871 ± 4.831 (min = 6; max = 21). Conclusion: According to this study, students from the Faculty of Health Sciences had a high level of AI anxiety. Significant differences were found between students’ AI anxiety levels according to gender, their thoughts about AI, their trust in AI-based devices, their desire to change their profession because of AI, and their use of AI in patient care. © 2025 AVES. All rights reserved.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (2209-A); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAKen_US
dc.identifier.doi10.5152/ArcHealthSciRes.2025.24147
dc.identifier.issn2687-4644
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-105001184753
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://doi.org/10.5152/ArcHealthSciRes.2025.24147
dc.identifier.urihttps://hdl.handle.net/20.500.14517/7813
dc.identifier.volume12en_US
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherAVESen_US
dc.relation.ispartofArchives of Health Science and Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAnxietyen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectArtificial Intelligence Anxietyen_US
dc.subjectStudent Healthen_US
dc.titleArtificial Intelligence Anxiety Levels of Faculty of Health Sciences Students and Affecting Factorsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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