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

dc.authorscopusid 59477307600
dc.authorscopusid 59711867300
dc.authorscopusid 59711867400
dc.contributor.author Çoban, N.
dc.contributor.author Kar, D.
dc.contributor.author Berk, Ş.N.
dc.date.accessioned 2025-04-16T00:05:34Z
dc.date.available 2025-04-16T00:05:34Z
dc.date.issued 2025
dc.department Okan University en_US
dc.department-temp Çoban N., Department of Nursing, İstanbul Okan University, Faculty of Health Sciences, İstanbul, Turkey; Kar D., İstanbul, Turkey; Berk Ş.N., İstanbul, Turkey en_US
dc.description.abstract Objective: 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.sponsorship Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (2209-A); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK en_US
dc.identifier.doi 10.5152/ArcHealthSciRes.2025.24147
dc.identifier.issn 2687-4644
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-105001184753
dc.identifier.scopusquality Q4
dc.identifier.uri https://doi.org/10.5152/ArcHealthSciRes.2025.24147
dc.identifier.uri https://hdl.handle.net/20.500.14517/7813
dc.identifier.volume 12 en_US
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher AVES en_US
dc.relation.ispartof Archives of Health Science and Research en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Anxiety en_US
dc.subject Artificial Intelligence en_US
dc.subject Artificial Intelligence Anxiety en_US
dc.subject Student Health en_US
dc.title Artificial Intelligence Anxiety Levels of Faculty of Health Sciences Students and Affecting Factors en_US
dc.type Article en_US
dspace.entity.type Publication

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