메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
임옥진 (건양대학교 글로벌의료뷰티학과) 노영희 (건양대학교 글로벌의료뷰티학과) 윤초희 (건양대학교) 이효숙 (전주비전대학교)
저널정보
한국미용학회 한국미용학회지 한국미용학회지 제22권 제6호
발행연도
2016.12
수록면
1,486 - 1,497 (12page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
20th century is a knowledge based society and the beauty industry seeks global people who have technology, design analyzing power, task solving ability, and communication ability. To foster skilled people suitable for the current times, however, the issue of abolishing the section has been discussed because of the low participation rate to domestic function competitions that can achieve the right to participate in the International function olympics in the hair design section. The study results suggest; First, it should improve the social interest by introducing a support status notice system for prizewinner and reduce the wall of advance by letting training subjects choose training institutes freely through releasing the training process and result information for each institution. Second, there should be price ceiling for tuition fee and ways of expanding the payment for advanced course to improve the actual participants in the hair design section at function competitions. Third, the objective evaluation should be make by introducing qualification system for examiners in the hair design section of function competitions. Fourth, it requires to prepare benefits for prizewinner of function competitions, compose human infra of players and trainers, and have systematic ways of promotions on competitions. Through above measures, this study tried to improve the satisfaction level of participants and give a chance to activate hair design section in function competitions by preparing a fair evaluation index in the hair design section and hope to be helpful for the activation of function.

목차

등록된 정보가 없습니다.

참고문헌 (36)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0