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
하명정 (상명대학교)
저널정보
한국중등영어교육학회 중등영어교육 중등영어교육 제17권 제1호
발행연도
2024.2
수록면
189 - 217 (29page)

이용수

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

초록· 키워드

오류제보하기
The widespread impact of clickers in enhancing positive learning experiences and outcomes is well-recognized in general education and foreign language teaching. This study investigated how learners’ characteristics influence their views on using Game-based Student Response Systems (GSRS) in a Problem-Based Learning (PBL) environment, thereby enriching our understanding of GSRS perceptions. Seventy-one Korean university students participated, using the game-based clicker, Socrative, to learn about American cultures through PBL teaching methods. The research explored whether learner attributes such as gender, learning style, and academic discipline were factors in varying student perceptions of GSRS-enhanced PBL experiences. Data were collected through an online questionnaire at the beginning of the semester to gather students’ demographics and another online questionnaire at the end of the semester to investigate students’ perceptions of the PBL classroom experience with GSRS. The findings revealed that neither gender nor academic discipline had a significant effect on students’ perceptions. However, learning style played a crucial role in shaping their views. Students with a strong preference for collaborative learning demonstrated higher mean scores in cognitive aspects (e.g., critical thinking skills and learning benefits) and affective aspects (e.g., motivation and engagement) compared to those who preferred individual learning. This underscores the importance of accommodating various learning styles to enhance the effectiveness of GSRS in PBL environments, leading to a more inclusive and successful educational experience.

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!

최근 본 자료

전체보기

댓글(0)

0