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

Aim: This study was conducted to evaluate the knowledge, attitude/behavior 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. p<0.05 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 57.59±8.84. 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.