Abstract
Bu çalışmanın amacı, her kurumda hızla artış gösteren yapay zekânın sağlık alanında kullanılması ile ilgili ebelik öğrencilerin kaygı düzeylerinin tespit edilmesi ve sosyo-demografik değişkenlerle ilişkisini belirlemektir. Kesitsel ve tanımlayıcı türde bir çalışmadır. Araştırmanın evrenini bir devlet üniversitesinde eğitimini sürdüren 362 ebelik öğrencisi, örneklemini ise 281 öğrenci oluşturdu. Veriler, Microsoft Office 365 Formlarından çevrimiçi bir anket bağlantısı aracılığıyla toplandı. Araştırma bulgularına göre ebelik öğrencileri yapay zekânın kullanımıyla ilgili orta düzeyde kaygı duymaktadır. Öğrencilerin ebeveyn eğitim, ebeveyn meslek ve gelir düzeyine göre yapay zekâ kaygı puanları arasında anlamlı fark elde edildi. Öğrencilerin çoğu, yapay zekâ kullanmadığını, sağlık alanında yapay zekâ uygulamalarını bilmediğini yanı sıra çoğu meslek hayatında ve eğitim sürecinde yapay zekâ uygulamalarını kullanmak istediğini ve yapay zekâyı güvenilir bulduklarını belirtti. Yapay zekânın ebelik eğitim müfredatına entegre edilmesi ve öğrenci ebelerin yapay zekâ hakkındaki kaygılarını anlamaya yönelik daha kapsamlı çalışmalar yapılması önerilir.
Keywords
Supporting Institution
Yok
References
- Abdullah, R., & Fakieh, B. (2020). Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. Journal of medical Internet research, 22(5), e17620.
- Akkaya, B., Özkan, A., & Özkan, H. (2021). Yapay Zekâ Kaygı (YZK) Ölçeği: Türkçeye uyarlama, geçerlik ve güvenirlik çalışması. Alanya Akademik Bakış, 5(2), 1125-1146.
- Almaiah, M.A., Alfaisal, R., Salloum, S.A., Hajjej, F., Thabit, S., El-Qirem, F.A., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., Awad, A.B., & Al-Maroof, R.S. (2022). Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics, 11, 3662. doi.org/10.3390/electronics11223662.
- Bali, J., Garg, R., & Bali, R.T. (2019). Artificial intelligence in healthcare and biomedical research: Why a strong computational/ Artificial intelligence bioethics framework is required? Indian Journal of Ophthalmology, 67,3-6. doi.org/10.4103/ijo.IJO_1292_1
- Cirban-Ekrem, E., & Daşıkan, Z. (2021). Perinatal Dönemde Yapay Zekâ Teknolojisinin Kullanımı. Eurasian Journal of Health, 5(2), 147-162.
- Clipper, B., Batcheller, J., Thomaz, A. L., & Rozga, A. (2018). Artificial ıntelligence and robotics: A nurse leader's primer, Nurse Leader, 16(6), 379-384, ISSN 1541-4612, doi.org/10.1016/j.mnl.2018.07.015.
- Filiz, E., Güzel, Ş., & Şengül, A. (2022). Sağlık profesyonellerinin yapay zekâ kaygı durumlarının incelenmesi. Journal of Academic Value Studies, 8(1), 47-55. doi.org/10.29228/javs.57808.
- Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. doi.org/10.1016/j.techfore.2016.08.0 19.
- Gnambs, T., & Appel, M. (2019). Are robots becoming unpopular? Changes in attitudes towards autonomous robotic systems in Europe. Computers in Human Behavior, 93, 53-61. doi.org/10.1016/j.chb.2018.11.045.
- Gümüş, E., & Uysal-Kasap, E. (2022). Sağlık ekosisteminde yapay zekâ kaygı düzeyi: Hemşire örneklemi. JAIHS, 2(3), 1-7 doi.org/10.52309/jaihs.v2i2.43
- Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of service research, 21(2), 155-172. doi.org/10.1177/1094670517752.
- Jarrahi, M. H. (2018). Artificial Intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. doi.org/10.1016/j.bushor.2018.03.007.
- Johnson, D. G., & Verdicchio, M. (2017). AI anxiety. Journal of the Association for Information Science and Technology, 68(9), 2267–2270. https://doi.org/10.1002/asi.23867
- Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy O., & Demir-Kaya M. (2022). The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence, International Journal of Human-Computer Interaction, doi.org/10.1080/10447318.2022.21 51730.
- Liao, P.H., Hsu, P.T., Chu, W., & Chu, W.C. (2015). Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan. Health Informatics Journal, 21(2), 137-148. doi.org/10.1177/1460458213509806.
- Maskara R, Bhootra V, Thakkar D., & Nishkalank N. (2017). A study on the perception of medical professionals towards artificial intelligence. International Journal of Multidisciplinary Research and Development, 4(4), 34-39.
- Neudert, L. M., Knuutila, A., & Howard, P. N. (2020). Global attitudes towards AI, machine learning & automated decision making. Working paper 2020.10, Oxford Commission on AI & Good Governance. https://oxcaigg.oii.ox.ac.uk/.
- Oh, S., Kim, J. H., Choi, S. W., Lee, H. J., Hong, J., & Kwon, S. H. (2019). Physician confidence in artificial intelligence: an online mobile survey. Journal of medical Internet research, 21(3), e12422.
- Rhee, C. S., & Rhee, H. (2019). Expectations and anxieties affecting attitudes toward artificial intelligence revolution. The Journal of the Korea Contents Association, 19(9), 37-46.
- Saint Laurent C. (2018). In defence of machine learning: Debunking the myths of artificial ıntelligence. Europe’s Journal of Psiychology. 30, 14(4), 734-747. doi.org/10.5964/ejop.v14i4.1823.
- Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA: Pearson. Tugay, B., & Tugay, R. (2019). Uluslararası sistemin geleceğini yapay zekâ üzerinden analiz etmek. Journal of Academic Value Studies, 5(3), 376-384.
- Wang, Y.Y., & Wang, Y.S. (2022). Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior, Interactive Learning Environments, 30(4), 619-634, doi.org/10.1080/10494820.2019.1674887.
- WHO (2023). WHO calls for safe and ethical AI for health. Erişim tarihi: 20.07.2023. Erişim adresi: https://www.who.int/news/item/16-05-2023-who-calls-for-safe-and-ethical-ai-for-health#:~:text=The%206%20core %20principles%20identified,AI%20that%20is%20responsive%20and
- Zhang, B., & Dafoe, A. (2019). Artificial intelligence: American attitudes and trends. doi.org/10.2139/ssrn.3312 874.
Abstract
The aim of this study is to determine the anxiety levels of midwifery students about the use of artificial intelligence in the field of health, which is increasing rapidly in every institution, and to determine its relationship with socio-demographic variables. It is a cross-sectional and descriptive study. The population of the study consisted of 362 midwifery students studying at a state university, and the sample consisted of 281 students. Data was collected from Microsoft Office 365 Forms via an online survey link. According to the research findings, midwifery students have moderate anxiety about the use of artificial intelligence. A significant difference was found between the artificial intelligence anxiety scores of the students according to their parental education, parental occupation and income level. Most of the students stated that they do not use artificial intelligence, they do not know artificial intelligence applications in the field of health, and most of them want to use artificial intelligence applications in their professional life and education process and they find artificial intelligence reliable. It is recommended that artificial intelligence be integrated into the midwifery education curriculum and more comprehensive studies should be conducted to understand student midwives' concerns about artificial intelligence.
Keywords
References
- Abdullah, R., & Fakieh, B. (2020). Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. Journal of medical Internet research, 22(5), e17620.
- Akkaya, B., Özkan, A., & Özkan, H. (2021). Yapay Zekâ Kaygı (YZK) Ölçeği: Türkçeye uyarlama, geçerlik ve güvenirlik çalışması. Alanya Akademik Bakış, 5(2), 1125-1146.
- Almaiah, M.A., Alfaisal, R., Salloum, S.A., Hajjej, F., Thabit, S., El-Qirem, F.A., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., Awad, A.B., & Al-Maroof, R.S. (2022). Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics, 11, 3662. doi.org/10.3390/electronics11223662.
- Bali, J., Garg, R., & Bali, R.T. (2019). Artificial intelligence in healthcare and biomedical research: Why a strong computational/ Artificial intelligence bioethics framework is required? Indian Journal of Ophthalmology, 67,3-6. doi.org/10.4103/ijo.IJO_1292_1
- Cirban-Ekrem, E., & Daşıkan, Z. (2021). Perinatal Dönemde Yapay Zekâ Teknolojisinin Kullanımı. Eurasian Journal of Health, 5(2), 147-162.
- Clipper, B., Batcheller, J., Thomaz, A. L., & Rozga, A. (2018). Artificial ıntelligence and robotics: A nurse leader's primer, Nurse Leader, 16(6), 379-384, ISSN 1541-4612, doi.org/10.1016/j.mnl.2018.07.015.
- Filiz, E., Güzel, Ş., & Şengül, A. (2022). Sağlık profesyonellerinin yapay zekâ kaygı durumlarının incelenmesi. Journal of Academic Value Studies, 8(1), 47-55. doi.org/10.29228/javs.57808.
- Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. doi.org/10.1016/j.techfore.2016.08.0 19.
- Gnambs, T., & Appel, M. (2019). Are robots becoming unpopular? Changes in attitudes towards autonomous robotic systems in Europe. Computers in Human Behavior, 93, 53-61. doi.org/10.1016/j.chb.2018.11.045.
- Gümüş, E., & Uysal-Kasap, E. (2022). Sağlık ekosisteminde yapay zekâ kaygı düzeyi: Hemşire örneklemi. JAIHS, 2(3), 1-7 doi.org/10.52309/jaihs.v2i2.43
- Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of service research, 21(2), 155-172. doi.org/10.1177/1094670517752.
- Jarrahi, M. H. (2018). Artificial Intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. doi.org/10.1016/j.bushor.2018.03.007.
- Johnson, D. G., & Verdicchio, M. (2017). AI anxiety. Journal of the Association for Information Science and Technology, 68(9), 2267–2270. https://doi.org/10.1002/asi.23867
- Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy O., & Demir-Kaya M. (2022). The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence, International Journal of Human-Computer Interaction, doi.org/10.1080/10447318.2022.21 51730.
- Liao, P.H., Hsu, P.T., Chu, W., & Chu, W.C. (2015). Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan. Health Informatics Journal, 21(2), 137-148. doi.org/10.1177/1460458213509806.
- Maskara R, Bhootra V, Thakkar D., & Nishkalank N. (2017). A study on the perception of medical professionals towards artificial intelligence. International Journal of Multidisciplinary Research and Development, 4(4), 34-39.
- Neudert, L. M., Knuutila, A., & Howard, P. N. (2020). Global attitudes towards AI, machine learning & automated decision making. Working paper 2020.10, Oxford Commission on AI & Good Governance. https://oxcaigg.oii.ox.ac.uk/.
- Oh, S., Kim, J. H., Choi, S. W., Lee, H. J., Hong, J., & Kwon, S. H. (2019). Physician confidence in artificial intelligence: an online mobile survey. Journal of medical Internet research, 21(3), e12422.
- Rhee, C. S., & Rhee, H. (2019). Expectations and anxieties affecting attitudes toward artificial intelligence revolution. The Journal of the Korea Contents Association, 19(9), 37-46.
- Saint Laurent C. (2018). In defence of machine learning: Debunking the myths of artificial ıntelligence. Europe’s Journal of Psiychology. 30, 14(4), 734-747. doi.org/10.5964/ejop.v14i4.1823.
- Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA: Pearson. Tugay, B., & Tugay, R. (2019). Uluslararası sistemin geleceğini yapay zekâ üzerinden analiz etmek. Journal of Academic Value Studies, 5(3), 376-384.
- Wang, Y.Y., & Wang, Y.S. (2022). Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior, Interactive Learning Environments, 30(4), 619-634, doi.org/10.1080/10494820.2019.1674887.
- WHO (2023). WHO calls for safe and ethical AI for health. Erişim tarihi: 20.07.2023. Erişim adresi: https://www.who.int/news/item/16-05-2023-who-calls-for-safe-and-ethical-ai-for-health#:~:text=The%206%20core %20principles%20identified,AI%20that%20is%20responsive%20and
- Zhang, B., & Dafoe, A. (2019). Artificial intelligence: American attitudes and trends. doi.org/10.2139/ssrn.3312 874.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Health Care Administration |
| Journal Section | Research Article |
| Authors | |
| Publication Date | December 16, 2023 |
| Published in Issue | Year 2023Volume: 8 Issue: Special Issue |
The Journal of Sivas Cumhuriyet University Institute of Health Sciences is an international, peer-reviewed scientific journal published by Sivas Cumhuriyet University, Institute of Health Sciences.