Influence of artificial intelligence knowledge, attitude, perception, and utilization ability on communication competence in nursing students

Purpose: This study aimed to examine the relationships between artificial intelligence (AI) knowledge, attitudes, perceptions, and utilization ability, and their influence on communication competence in nursing students.Methods: A descriptive cross-sectional study was conducted with 160 nursing students from three universities in Chungcheongbuk-do, Korea, between September 12 and 19, 2025. Data were collected using self-administered questionnaires to assess AI knowledge, attitudes, perception and utilization ability, and communication competence. Data were analyzed using descriptive statistics, independent t-tests, one-way ANOVA, Pearson’s correlation coefficients, and stepwise multiple regression using IBM SPSS version 26.0.Results: The mean scores for communication competence were 180.63±16.56. The scores for AI knowledge, positive attitudes, negative attitudes, and perception/utilization ability were 10.53±3.59, 45.06±4.44, 22.25±3.80, and 88.33±12.50, respectively. Significant predictors of communication competence included positive attitudes toward AI (B=0.95, p=.003), perceived ease of use (B=1.15, p=.009), and AI usage time of five hours or more per week (B=8.23, p=.015). These factors explained 22.0% of the variance in communication competence.Conclusion: Educational interventions that foster positive attitudes toward AI, enhance perceived ease of use through user-friendly tools, and provide sufficient hands-on experience with AI programs may effectively improve nursing students’ communication competence.