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
박은주 (강원대학교 교육연구소) 하민수 (강원대학교)
저널정보
한국교원대학교 뇌기반교육연구소 Brain, Digital, & Learning Brain, Digital, & Learning Vol.12 No.3
발행연도
2022.9
수록면
461 - 478 (18page)
DOI
https://doi.org/10.31216/BDL.20220028

이용수

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

초록· 키워드

오류제보하기
This study was conducted to explore the adjustment strategies that appear in the learning situation in line with the ultimate educational goal of the current 2015 revised curriculum, which is to foster independent and self-regulating learners and to emphasize the affective domain. This study explored the self-regulation strategies of high school students with high academic achievement through a qualitative research method. In this study, in-depth interviews and data used for students' learning were analyzed for the top-ranked students with average grades of 1 to 2 among the second and third grades of general high schools. The students who participated in the study found that they strategically control their learning through motivational regulation, willpower regulation, and information regulation. The participants used the strategies of performance self-direction, self-compensation, having own goals, having a favorite subject, linking to career, self-efficacy, and finding fun in the area of motivational regulation. In addition, in the willpower regulation area, it was found that strategies such as transitioning learning subjects, changing the environment, making a plan, focusing attention, strengthening willingness, and utilizing pressure were used. Finally, in the information regulation area, strategies such as metacognition, seeking help, and finding learning peers could be found. This study proposes advice that can help students participate in and continue learning by exploring the accommodation strategies experienced by learners.

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