인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
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.
초록·키워드
Abstract Conventional digital learning with 2D videos or simulations on monitors and tablets has limitations in engineering education when covering complex concepts or complicated 3D structures. In response, virtual reality (VR) has been introduced as an immersive method that can enhance learning effectiveness. This study analyzed the impact of VR on overall learning outcomes and understanding of 3D structures in engineering education, comparing it with traditional digital learning approaches. We conducted a study with 40 participants who learned about LCD-related topics using two methods: VR-based learning and 2D video-based learning (2DLM). To evaluate their performance, we carried out a performance-based assessment consisting of a quiz and 3D reconstruction tasks, as well as a perception-based assessment using a questionnaire. As for the results, the VR-based learning showed a 12% improvement in post-test quiz scores and a 13% improvement in 3D reconstruction test scores compared to the 2DLM. Additionally, the questionnaire results confirmed that VR learning increased engagement by 11.9%, immersion by 18.6%, motivation by 10.3%, cognitive benefits by 9.3%, and perceived learning effectiveness by 8.7%. While VR showed better learning outcomes, these findings should be interpreted considering the small sample size, the specific learning topics addressed, and the partial integration of media and educational methods. Nevertheless, our results indicate that VR is more effective than conventional learning resources in supporting general memorization, understanding, and the specific comprehension of 3D structures.
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.
최근 본 자료 전체보기
