코로나 시대 대학교육의 수업유형에 따른 휴먼팩터 연구

Abstract

This study aimed to identify learners’ levels of satisfaction and fatigue on three different lecture types ( lectures using a real-time video platform, lectures using an avatar-based Metaverse platform, non-real-time online lectures) in order to optimize and lead online teaching methods in the post COVID era. To achieve this aim, the study examined 206 students who participated in non-curricular programs available at A university in Korea and identified the correlation among immersion, presence, fatigue, and satisfaction depending on the lecture type. The study results showed that immersion and satisfaction were highest in real-time lectures using avatars on the metaverse platform. In addition, the study results showed that both immersion and fatigue had a significant correlation with satisfaction, and that immersion had a relatively higher impact on satisfaction than fatigue. In addition, since immersion and satisfaction have a significant positive (+) correlation, and fatigue and satisfaction have a significant negative (-) correlation, these results showed that the higher the immersion and the lower the fatigue, the higher the learner's satisfaction. This study is significant in that it empirically verified that differences in immersion, fatigue, and satisfaction according to lecture types and immersion and fatigue have an influence on satisfaction. However, this study has its limitations since it was conducted in students following willingly an off-curriculum program at A university and examined only special lectures in a specific field. Nevertheless, this researcher expects that the results of this study will be further supplemented through future follow-up studies. It is expected that the results of this study will be used as rough data to deal with the paradigm change that is the post-corona era.