인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
초록·키워드
The purpose of this study is to understand the competence of the airline flight attendant focused on airline"s flight attendant and university students majoring in aviation services. This was achieved by undertaking of qualitative research techniques. This was in-depth interviews of 16 flight attendants who are training instructors, pursers, and 68 university students majoring in aviation services about competence of airline flight attendants from August 2018 to September 2019.
As a result, the competence required for flight attendants were surveyed as interpersonal relationship competence, personal effectiveness competence, cognition competence, and management competence presented in previous studies. In particular, interviews with the flight attendants found that there are new factors that demonstrate the flight attendant"s competence for human core competence and self-health competence.
Through this study, university students majoring in aviation services can clearly grasp the competence of flight attendant, and it is expected to secure competitiveness in preparation process and reference tools to prepare for airline employment.
As a result, the competence required for flight attendants were surveyed as interpersonal relationship competence, personal effectiveness competence, cognition competence, and management competence presented in previous studies. In particular, interviews with the flight attendants found that there are new factors that demonstrate the flight attendant"s competence for human core competence and self-health competence.
Through this study, university students majoring in aviation services can clearly grasp the competence of flight attendant, and it is expected to secure competitiveness in preparation process and reference tools to prepare for airline employment.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2020-323-000349615
