인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
With the growing emphasis on student-centered education, the need to restructure university lecture and learning spaces has become increasingly apparent. To support autonomous participation and diverse learning activities, it is essential to create spatial environments that go beyond physical improvements and are grounded in pedagogical and instructional strategies. This study aims to propose spatial design processes and implementation strategies for restructuring university learning spaces that support student-centered education. The study first conducted a theoretical review and field investigations to identify and structure spatial characteristics and components suitable for learner-centered education. A two-round Delphi survey was then administered to experts in education, design, and spatial planning to assess the importance, validity, and interrelationships of the proposed spatial indicators. The findings were used to inform the development of design processes and cluster models for learning spaces. Seven spatial characteristics and 25 sub-indicators for student-centered learning spaces were derived and validated through expert consensus. Based on these findings, a six-step restructuring process and five cluster models were proposed: learning support, learning community, project-based, technology-integrated, and convergent learning clusters. This study offers both theoretical and empirical contributions by presenting spatial design criteria tailored to student-centered education. The proposed processes and spatial cluster models are expected to serve as practical tools for improving university learning environments.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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