ABSTRACT
Background & Aim: This study aims to examine the perception of artificial intelligence interviews experienced by prospective nursing graduates who have experienced artificial intelligence interviews at medical institutions using focus groups and provide necessary data to increase the efficiency of artificial intelligence interviews. Methods & Materials: This study was conducted to examine nursing students' artificial intelligence interview experience during COVID-19 by performing a focus group interview and qualitative content analysis. The focus group interview was carried out on November 17, 2021, to understand nursing students' artificial intelligence interview experience during COV1D-19, selecting a total of 14 senior nursing students. Results: As a result of analyzing the artificial intelligence interview experiences of nursing students who participated in this study, 35 codes, grouped into eight subcategories, were derived. They are also classified into three categories 1) Finding your way in the dark, 2) Confronting artificial intelligence, and 3) Going beyond artificial intelligence. The eight subcategories derived are as follows: 1) Vagueness, 2) Find your way, 3) The fight between artificial intelligence and me, 4) Strong questions about interview evaluation, 5) New experience, 6) Learn your own tricks for artificial intelligence interviews, 7) Setting up the environment for artificial intelligence interview, 8) Establishment of information system for artificial intelligence interview. Conclusion: Based on the results of this study, an educational program should be developed based on the main data obtained from the artificial intelligence interview experience so that nursing college students can adapt to the artificial intelligence interview.