인공지능을 적용한 국내 간호교육 연구 동향 분석

• 영문명: Analysis of Trends in Domestic Nursing Education Research Applying Artificial Intelligence
• 발행기관: 한국건강간호융합학회
• 저자명: 장영은(Young Eun Jang) 안성미(Sung Mi Ahn) 박성지(Sung Ji Park) 권현지(Hyun Ji Kwon) 고가연(Ga Yeon Ko)
• 간행물 정보: 『한국건강간호융합학회지』제1권 제1호, 51~58쪽, 전체 8쪽
• 주제분류: 의약학 > 간호학
• 파일형태: PDF
• 발행일자: 2024.05.30

영문 초록

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.

목차

Ⅰ. 서 론

Ⅱ. 연구방법

Ⅲ. 연구결과

Ⅳ. 논 의

Ⅴ. 결론 및 제언

References

키워드

Artificial intelligence Nursing Education Trends Analysis