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
안현경 (동남보건대학교 뷰티케어과 교수)
저널정보
한국미용학회 한국미용학회지 한국미용학회지 제26권 제4호
발행연도
2020.1
수록면
825 - 841 (17page)

이용수

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

초록· 키워드

오류제보하기
This paper study the current status of YouTube beauty channels and structural characteristics of beauty contensts based on Gagne's 9 Instructional Events of Condition of Learning Theory to support the future development of the beauty industry. To do this, I used the noxinfluencer (https://kr.noxinfluencer.com), investigated beauty channels in the top 50 in the know-how/style category of YouTube- Korea. After this, divided major 3 beauty parties-hair, skin care, make-up-, and selected two beauty channels of each. Among the selected beauty channels' contents between March 2019 and February 2020, one of the most viewed contents was selected. And based on Gagne's instructional events theory, identified the structural characteristics of each contents. Conclusion is as follows; First, beauty channels in the top 50 in the field of know-how/style were PONY Syndrom, RISABAE, ssin, Lamuqe, Daddoa, Hoysawon A, YoonChami, UNA, yeondukong, Gako's Open, Saebyeock, Yoo’s Beauty Heejoo, Keumgangyeonwha, Beautifymeeh, DAISY, Kimseupseup. Second, The structural characteristics of the beauty channels, based on Gagne's 9 Instructional Events of Condition of Learning Theory, were well done in well gained attention, inform learner of objectives, present stimulus material, provide learner guidance, enhance retention and transfer, but not well done in gained stimulate recall of prior learning, elicit performance, provide feedback. In order to, the beauty contents of the YouTube channels, globalize and deliver the contents efficiently in the future, methods for performing the missing steps should be developed.

목차

등록된 정보가 없습니다.

참고문헌 (29)

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