Evaluation of Nurse Academicians’ Knowledge, Attitudes/Behaviours, and Anxiety Levels Regarding Artificial Intelligence Applications

Deniz Yiğit; Ayfer Açıkgöz

Makale detayları

Evaluation of Nurse Academicians’ Knowledge, Attitudes/Behaviours, and Anxiety Levels Regarding Artificial Intelligence Applications

Yazarlar:

Deniz Yiğit | Ayfer Açıkgöz

Yayıncı:

Selcuk University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

Genel Tıp Dergisi Vol.34 Issue 6, pp.875-881

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001333470

pISSN:

2602-3741

Anahtar kelimeler:

Özet:

 Aim: This study was conducted to evaluate the knowledge, attitudebehavior and anxiety levels of nurse academics about artificial intelligence applications. Material and Methods: The research was conducted online with 202 nurse academicians in a descriptive type. Data Collection Form, Artificial Intelligence Anxiety Scale were used to collect data. SPSS 21 package program was used to evaluate the data. Descriptive statistics, Kolmogorov-Smirnov, Shapiro-Wilk, Spearman, Mann-Whitney U, Kruskal-Wallis H tests were used to evaluate the data. p0.05 was considered significant. Results: The study was completed with 202 nursing academicians. It was determined that the average score of the academicians on the Artificial Intelligence Anxiety Scale was 57.598.84. All participants stated that they had heard of the concept of artificial intelligence before. It was determined that there was a significant relationship between the academicians receiving training on artificial intelligence, their belief that artificial intelligence will affect the nursing profession in the future, and their average score on the Artificial Intelligence Anxiety Scale. Conclusion: It has been detected that nursing academicians have high levels of anxiety about artificial intelligence. It has been determined that academicians anxiety levels about artificial intelligence are affected by lack of knowledge and negative attitudes. Our recommendation is to inform nursing academicians about artificial intelligence and provide the necessary support for them to take an active role in the inclusion of artificial intelligence in educational processes.

 Aim: This study was conducted to evaluate the knowledge, attitudebehavior and anxiety levels of nurse academics about artificial intelligence applications. Material and Methods: The research was conducted online with 202 nurse academicians in a descriptive type. Data Collection Form, Artificial Intelligence Anxiety Scale were used to collect data. SPSS 21 package program was used to evaluate the data. Descriptive statistics, Kolmogorov-Smirnov, Shapiro-Wilk, Spearman, Mann-Whitney U, Kruskal-Wallis H tests were used to evaluate the data. p0.05 was considered significant. Results: The study was completed with 202 nursing academicians. It was determined that the average score of the academicians on the Artificial Intelligence Anxiety Scale was 57.598.84. All participants stated that they had heard of the concept of artificial intelligence before. It was determined that there was a significant relationship between the academicians receiving training on artificial intelligence, their belief that artificial intelligence will affect the nursing profession in the future, and their average score on the Artificial Intelligence Anxiety Scale. Conclusion: It has been detected that nursing academicians have high levels of anxiety about artificial intelligence. It has been determined that academicians anxiety levels about artificial intelligence are affected by lack of knowledge and negative attitudes. Our recommendation is to inform nursing academicians about artificial intelligence and provide the necessary support for them to take an active role in the inclusion of artificial intelligence in educational processes.

 Aim: This study was conducted to evaluate the knowledge, attitudebehavior and anxiety levels of nurse academics about artificial intelligence applications. Material and Methods: The research was conducted online with 202 nurse academicians in a descriptive type. Data Collection Form, Artificial Intelligence Anxiety Scale were used to collect data. SPSS 21 package program was used to evaluate the data. Descriptive statistics, Kolmogorov-Smirnov, Shapiro-Wilk, Spearman, Mann-Whitney U, Kruskal-Wallis H tests were used to evaluate the data. p0.05 was considered significant. Results: The study was completed with 202 nursing academicians. It was determined that the average score of the academicians on the Artificial Intelligence Anxiety Scale was 57.598.84. All participants stated that they had heard of the concept of artificial intelligence before. It was determined that there was a significant relationship between the academicians receiving training on artificial intelligence, their belief that artificial intelligence will affect the nursing profession in the future, and their average score on the Artificial Intelligence Anxiety Scale. Conclusion: It has been detected that nursing academicians have high levels of anxiety about artificial intelligence. It has been determined that academicians anxiety levels about artificial intelligence are affected by lack of knowledge and negative attitudes. Our recommendation is to inform nursing academicians about artificial intelligence and provide the necessary support for them to take an active role in the inclusion of artificial intelligence in educational processes.

 Amaç: Bu çalışma, hemşire akademisyenlerin yapay zeka uygulamaları hakkında bilgi, tutumdavranış ve kaygı düzeylerinin değerlendirilmesi amacıyla yapılmıştır. Gereç ve Yöntemler: Araştırma tanımlayıcı tipte, online olarak 202 hemşire akademisyen ile yapılmıştır. Verilerin toplanmasında; Veri Toplama Formu, Yapay Zeka Kaygı Ölçeği kullanılmıştır. Verilerin değerlendirilmesinde SPSS 21 paket programı kullanılmıştır. Verilerin değerlendirilmesinde; tanımlayıcı istatistikler, Kolmogorov-Smirnov, Shapiro-Wilk, Spearman, Mann-Whitney U, Kruskal-Wallis H testi kullanılıştır. p0.05 değeri anlamlı kabul edilmiştir. Bulgular: Çalışma, 202 hemşire akademisyen ile tamamlanmıştır. Akademisyenlerin Yapay Zeka Kaygı Ölçeği puan ortalamalarının 57.598.84 olduğu belirlenmiştir. Katılımcıların hepsi yapay zeka kavramını daha önce duyduğunu belirtmiştir. Akademisyenlerin yapay zeka ile ilgili eğitim alma, yapay zekanın gelecekte hemşirelik mesleğini ekileceğini düşünme durumu ile Yapay Zeka Kaygı Ölçeği puan ortalamaları arasında anlamlı bir ilişki olduğu belirlenmiştir. Sonuç: Hemşire akademisyenlerin yapay zeka kaygı düzeylerinin yüksek olduğu tespit edilmiştir. Akademisyenlerin yapay zekaya ilişkin kaygı düzeylerinin bilgi eksikliği ve olumsuz tutumlardan etkilendiği belirlenmiştir. Önerimiz; hemşire akademisyenlerin yapay zekaya ilişkin bilgilendirilmesi ve yapay zekanın eğitim süreçlerine dahil edilmesinde aktif rol alması için gerekli desteğin verilmesidir.

Makale detayları

Evaluation of Nurse Academicians’ Knowledge, Attitudes/Behaviours, and Anxiety Levels Regarding Artificial Intelligence Applications

Yazarlar:

Deniz Yiğit | Ayfer Açıkgöz

Yayıncı:

Selcuk University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

Genel Tıp Dergisi Vol.34 Issue 6, pp.875-881

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001333470

pISSN:

2602-3741

Artificial intelligence

nurse

academic

anxietyYapay zeka

hemşire

akademisyen

kaygı

Sayı

Makale detayları

Yazarlar: Deniz Yiğit | Ayfer Açıkgöz

Yayıncı: Selcuk University

Ana Başlıklar: Klinik Tıp Bilimleri (Diğer)

Dergi: Genel Tıp Dergisi Vol.34 Issue 6, pp.875-881

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001333470

pISSN: 2602-3741

Sayı

Yazarlar:

Deniz Yiğit | Ayfer Açıkgöz

Yayıncı:

Selcuk University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

Genel Tıp Dergisi Vol.34 Issue 6, pp.875-881

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001333470

pISSN:

2602-3741