지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.8
- 수록면
- 247 - 262 (16page)
이용수
초록· 키워드
오류제보하기
Purpose: This study aimed to identify the types of perception toward non-face-to-face clinical practice and to characterize the types of students who experienced online clinical practice during the coronavirus disease 2019 (COVID-19) pandemic. Methods: Q-methodology was used in this study, and 270 Q populations were formed based on in-depth interviews with 10 nursing students who had experienced non-face-to-face clinical practice, as well as related literature. Interviews were performed from August 1 to 31, 2022. A total of 42 Q samples were extracted, and Q sorting was performed on 33 nursing students who had experienced non-face-to-face clinical practice. A Q factor analysis was performed using the PC-QUANL program. Results: The nursing students’ perceptions of non-face-to-face clinical practice were classified into the following five types: “future professional competency-focused type,” “realistic convenience priority type,” “task burden awareness type,” “negative critic type,” and “limited experience dissatisfaction type.” Conclusion: This study revealed non-face-to-face clinical practice’s positive and negative aspects in nursing education. Moreover, it identified the aspects of clinical practice that cannot be replaced by non-face-to-face clinical practice and the elements of non-face-to-face practice that can complement clinical practice. These findings can be used as fundamental data to establish a stable and efficient system for improving the quality of clinical practice in the post-COVID-19 era and to implement effective non-face-to-face clinical practice according to student types.
목차
서론
연구 방법
연구 결과
논의
결론 및 제언
References
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
이 논문과 함께 이용한 논문
간호교육환경에서 VR 환자 아바타를 이용한 시각적 피드백
이민정
,
권영아
,
김수영
외 1명
Proceedings of KIIT Conference
2023
.06
간호교육과 헬스케어에서의 빅데이터와 인공지능 적용
고병철
한국간호교육학회 학술대회
2022
.06
코로나19로 인한 비대면 온라인 학습자의 학업성취도에 영향을 미치는 요인연구
백소영
정보사회와 미디어
2022
.08
인공지능과 의료 전체 발전 과정 Overview
Yoon Sup Choi
대한외과학회 학술대회 초록집
2017
.11
인공지능(AI : Artificial Intelligence)시대, 보건의료 미래 전망
김형수
,
전우택
,
양광모
외 3명
의료정책포럼
2017
.04
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0102-2023-512-001921523