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
Xiaohui Zhang (Shangqiu Normal University) 김현주 (단국대학교)
저널정보
한국영어평가학회 영어평가 영어평가 제18권 제1호
발행연도
2023.6
수록면
39 - 61 (23page)
DOI
https://doi.org/10.37244/ela.2023.18.1.39

이용수

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

초록· 키워드

오류제보하기
This study aims to investigate effective teaching behavior (ETB) for undergraduate students among college teachers in China and to analyze their perceptions of ETB that contribute to academic success. In this study, a questionnaire was used with 152 college students as participants, and data analysis was conducted using SPSS ver. 23, including t-test, ANOVA, and factor analysis. The results revealed that teachers’ perception of ETB in blended learning (BL) contexts consists of four dimensions: classroom teaching organization, online learning management, diversified assessment, and individualized instruction. Among these dimensions, classroom teaching organization was perceived as the most effective, followed by online management, while diversified assessment and individualized teaching were considered less effective in implementing ETB in teaching practice. Furthermore, the study identified two categories of factors affecting ETB: internal factors of teachers (beliefs, capacity, and motivations) and external factors (online platforms, institutional environment, and students’ performance). The research findings suggest that the online platform factor and environment factor have the highest correlation coefficient with ETB, while the teacher factor has the lowest. Based on the findings, the study proposes implications and suggestions, such as building online resources and enhancing the multifaceted roles of instructors in BL contexts, to optimize teaching practices in higher education and enhance students’ satisfaction and academic achievement.

목차

등록된 정보가 없습니다.

참고문헌 (0)

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