Determination of Artificial Intelligence Anxiety Status of Nursing Students: Cross-Sectional-Descriptive Study

Pınar Ongün; Beytullah Gül; İbrahim Enes Muslu; Mert Mete Meşe; Sibel Ergün

Article Details

Determination of Artificial Intelligence Anxiety Status of Nursing Students: Cross-Sectional-Descriptive Study

Authors:

Pınar Ongün | Beytullah Gül | İbrahim Enes Muslu | Mert Mete Meşe | Sibel Ergün

Publisher:

Bandirma Onyedi Eylul University

Main Topics:

Hemşirelik Eğitimi | Cerrahi Hastalıklar Hemşireliği

Journal:

Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi Vol.6 Issue 2, pp.304-312

Document Type:

Article

Publication Date:

8/2024

Document Language:

English

Document ID (Org No.):

2001325204

pISSN:

2687-2145

Keywords:

Abstract:

 Aim: The study aimed to determine the anxiety of nursing students about the emergence and use of artificial intelligence products. Material and Method: The data of this descriptive and cross-sectional study were collected between 02.01.2023 and 15.04.2023. The sample of the research consisted of 243 students. The data collection tool included an introductory information form and the Artificial Intelligence Anxiety Scale. T-test, and one-way ANOVA test were used to analyze the data. Results: 64.6 of the students had heard of artificial intelligence-supported devices used in healthcare, 54.7 thought that artificial intelligence applications were useful in ensuring patient safety, and 54.7 thought that the system would reduce the risk of making medical errors. The mean total score of the scale was 46.25  9.66. There was a statistically significant relationship between thinking that artificial intelligence should be a course in education and thinking that artificial intelligence would be indispensable in surgical applications and the artificial intelligence anxiety scale p0.05. Conclusion: Students anxiety about artificial intelligence is at a moderate level. It was found that most students thought they should have courses on artificial intelligence applications and that artificial intelligence was useful in ensuring patient safety.

 Aim: The study aimed to determine the anxiety of nursing students about the emergence and use of artificial intelligence products. Material and Method: The data of this descriptive and cross-sectional study were collected between 02.01.2023 and 15.04.2023. The sample of the research consisted of 243 students. The data collection tool included an introductory information form and the Artificial Intelligence Anxiety Scale. T-test, and one-way ANOVA test were used to analyze the data. Results: 64.6 of the students had heard of artificial intelligence-supported devices used in healthcare, 54.7 thought that artificial intelligence applications were useful in ensuring patient safety, and 54.7 thought that the system would reduce the risk of making medical errors. The mean total score of the scale was 46.25  9.66. There was a statistically significant relationship between thinking that artificial intelligence should be a course in education and thinking that artificial intelligence would be indispensable in surgical applications and the artificial intelligence anxiety scale p0.05. Conclusion: Students anxiety about artificial intelligence is at a moderate level. It was found that most students thought they should have courses on artificial intelligence applications and that artificial intelligence was useful in ensuring patient safety.

 Aim: The study aimed to determine the anxiety of nursing students about the emergence and use of artificial intelligence products. Material and Method: The data of this descriptive and cross-sectional study were collected between 02.01.2023 and 15.04.2023. The sample of the research consisted of 243 students. The data collection tool included an introductory information form and the Artificial Intelligence Anxiety Scale. T-test, and one-way ANOVA test were used to analyze the data. Results: 64.6 of the students had heard of artificial intelligence-supported devices used in healthcare, 54.7 thought that artificial intelligence applications were useful in ensuring patient safety, and 54.7 thought that the system would reduce the risk of making medical errors. The mean total score of the scale was 46.25  9.66. There was a statistically significant relationship between thinking that artificial intelligence should be a course in education and thinking that artificial intelligence would be indispensable in surgical applications and the artificial intelligence anxiety scale p0.05. Conclusion: Students anxiety about artificial intelligence is at a moderate level. It was found that most students thought they should have courses on artificial intelligence applications and that artificial intelligence was useful in ensuring patient safety.

 Amaç: Araştırmada hemşirelik öğrencilerinin yapay zekâ ürünlerinin ortaya çıkması ve kullanıma sunulması ile ilgili kaygı durumlarını belirlemek amaçlandı. Gereç ve Yöntem: Bu tanımlayıcı ve kesitsel araştırmanın verileri 02.01.2023-15.04.2023 tarihleri arasında elde edildi. Araştırmanın örneklemini 243 öğrenci oluşturdu. Veri toplama araçları arasında tanıtıcı bilgi formu ve Yapay Zekâ Kaygı Ölçeği yer aldı. Verilerin analizinde sayı yüzde, t-testi, Tek yönlü Oneway Anova testi kullanıldı. Bulgular: Öğrencilerin 64.6sı sağlık alanında kullanılan yapay zeka destekli cihazları duymuş olup 54.7si yapay zeka uygulamalarının hasta güvenliğini sağlamada yararlı olduğunu ve 54.7si sistemin tıbbi hata yapma riskini azaltacağını düşünmektedir. Çalışmada Yapay Zekâ Kaygı ölçeğinin toplam puan ortalamasının 46.25  9.66 olduğu bulundu. Eğitimde yapay zekanın ders olması gerektiğini düşünme ve yapay zekanın cerrahi uygulamalarda vazgeçilmez olacağını düşünme ile yapay zekâ kaygı ölçeği arasında istatistiksel olarak anlamlı ilişki saptandı p0.05. Sonuç: Öğrencilerin yapay zekâ kaygıları orta seviyededir. Öğrencilerin çoğunluğunun, yapay zeka uygulamaları ile ilgili derslerin olması gerektiğini ve yapay zekanın hasta güvenliğini sağlamada yararlı olduğunu düşündüğü sonucu bulundu.

Article Details

Determination of Artificial Intelligence Anxiety Status of Nursing Students: Cross-Sectional-Descriptive Study

Authors:

Pınar Ongün | Beytullah Gül | İbrahim Enes Muslu | Mert Mete Meşe | Sibel Ergün

Publisher:

Bandirma Onyedi Eylul University

Main Topics:

Hemşirelik Eğitimi | Cerrahi Hastalıklar Hemşireliği

Journal:

Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi Vol.6 Issue 2, pp.304-312

Document Type:

Article

Publication Date:

8/2024

Document Language:

English

Document ID (Org No.):

2001325204

pISSN:

2687-2145

Artificial Intelligence

Anxiety

Nursing Student

Health CareYapay Zeka

Anksiyete

Hemşirelik öğrencileri

Sağlık Bakımı

Issues

Article Details

Authors: Pınar Ongün | Beytullah Gül | İbrahim Enes Muslu | Mert Mete Meşe | Sibel Ergün

Publisher: Bandirma Onyedi Eylul University

Main Topics: Hemşirelik Eğitimi | Cerrahi Hastalıklar Hemşireliği

Journal: Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi Vol.6 Issue 2, pp.304-312

Document Type: Article

Publication Date: 8/2024

Document Language: English

Document ID (Org No.): 2001325204

pISSN: 2687-2145

Issues

Authors:

Pınar Ongün | Beytullah Gül | İbrahim Enes Muslu | Mert Mete Meşe | Sibel Ergün

Publisher:

Bandirma Onyedi Eylul University

Main Topics:

Hemşirelik Eğitimi | Cerrahi Hastalıklar Hemşireliği

Journal:

Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi Vol.6 Issue 2, pp.304-312

Document Type:

Article

Publication Date:

8/2024

Document Language:

English

Document ID (Org No.):

2001325204

pISSN:

2687-2145