인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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
In the age of accelerated digital transformation, our lives are surrounded by computer-mediated technology, and this is not too surprising in the field of education. The digital thrust has developed remote education as a practically feasible approach. Given that the educational applications of the metaverse platform may compensate for the shortcomings of traditional video learning, such as elevated fatigue and decreased attention, there is a critical need to perform in-depth research on learning experiences in the metaverse. In this respect, this study aims to improve the understanding of the educational applications of the metaverse platform from educators’ and learners’ perspectives by employing the social representation theory. This research attempts to uncover the common sense of students and professors with experience in taking courses using the metaverse platform. We conducted semi-structured interviews with 13 university students and 3 professors who have taken courses on the Gather.Town platform. We identified the underlying structure of the educational experiences in the metaverse by using a core-periphery approach of social representations, also visualizing it based on the maximum tree. The results demonstrated that students attributed their immersion to the presence of avatars on the metaverse platform, which alleviated the burdens experienced in traditional real-time video systems. Furthermore, students felt a sense of connectedness through avatar-based activities and communication. From the perspective of educators, the realism provided by avatars contributed to a stable and engaging teaching environment. By identifying core elements and their relationships, this research offers insights into how holistic educational activities including learning, communication, and group work can be effectively conducted in a metaverse environment. These findings provide valuable implications for the design of future e-learning programs, contributing to the ongoing discourse on the educational potential of metaverse platforms.
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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