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Purpose : The purpose of this study was to analyze the trends in domestic nursing education research applying artificial intelligence (AI) in South Korea by examining recent research trends and suggesting future research directions. Method : This study conducted a literature review to analyze the trends in research on AI-applied domestic nursing education published in domestic academic journals. Results : A total of 55 keywords were identified based on the titles and major keywords from 12 literature sources, including multiple entries. The major keywords included AI (12, 21.9%), nursing students (10, 18.3%), nurses (4, 7.4%), AI remote medicine (2, 3.6%), general public (2, 3.6%), AI (2, 3.6%), nursing education (2, 3.6%), nursing process (2, 3.6%), AI application(2, 3.6%), program development (2, 3.6%), bioethics (2, 3.6%), eHealth (1, 1.8%), simulation training (1, 1.8%), AI generation (1, 1.8%), remote medicine (1, 1.8%), phenomenological study (1, 1.8%), systematic review(1, 1.8%), validation study (1, 1.8%), social network analysis (1, 1.8%), and newspaper articles (1, 1.8%). Conclusion : Through this study, it is evident that diverse research on AI-related nursing education is necessary for future nursing education research.
Jang et al. (Thu,) studied this question.