Araştırma Makalesi
BibTex RIS Kaynak Göster

Ebelik Öğrencilerin Yapay Zekâ Kaygı Durumlarının Değerlendirilmesi

Yıl 2023, Cilt: 8 Sayı: Special Issue, 290 - 296, 16.12.2023
https://doi.org/10.51754/cusbed.1286594

Öz

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.

Destekleyen Kurum

Yok

Kaynakça

  • 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.

Evaluation of Artificial Intelligence Anxiety of Midwifery Students

Yıl 2023, Cilt: 8 Sayı: Special Issue, 290 - 296, 16.12.2023
https://doi.org/10.51754/cusbed.1286594

Öz

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.

Kaynakça

  • 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.
Toplam 24 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Kurumları Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Feyza Aktaş Reyhan 0000-0002-7927-2361

Elif Dağlı 0000-0002-4608-8904

Yayımlanma Tarihi 16 Aralık 2023
Yayımlandığı Sayı Yıl 2023Cilt: 8 Sayı: Special Issue

Kaynak Göster

APA Aktaş Reyhan, F., & Dağlı, E. (2023). Ebelik Öğrencilerin Yapay Zekâ Kaygı Durumlarının Değerlendirilmesi. Instıtute of Health Sciences Journal, 8(Special Issue), 290-296. https://doi.org/10.51754/cusbed.1286594

   ici2.png    logo.png        asos-index.png       crossref-logo-landscape-200.png     logo.png       search-result-logo-horizontal-TEST.jpg 

     

logo.png    scilit.jpg     goole_scholar.jpg       logo.png    logo.png


f9ab67f.png                    download