Learner Experience Optimization in Metaverse Education: Theoretical Framework, Influence Factors, and Implementation Strategies

Abstract

With the deep integration of metaverse technology and educational practice, learner experience has become a core indicator to measure the effectiveness of metaverse education. Different from the traditional learning environment, the metaverse constructs a virtual-real fusion learning space, which brings revolutionary changes to the connotation and form of learner experience. This study focuses on the optimization of learner experience in metaverse education, systematically explores the theoretical framework of learner experience in metaverse education, identifies the key influence factors, and proposes targeted implementation strategies. Based on the literature review of experience economy theory, flow theory, and constructivist learning theory, this study constructs a multi-dimensional theoretical framework of learner experience in metaverse education, including sensory experience, interactive experience, cognitive experience, and emotional experience. Through empirical research and case analysis, it is found that the key influence factors include technical environment quality, teaching design rationality, social interaction intensity, and individual characteristic differences. Corresponding to these influence factors, this study puts forward implementation strategies such as improving technical support capabilities, optimizing scenario-based teaching design, constructing multi-level social interaction networks, and carrying out personalized experience customization. This research enriches the theoretical system of metaverse education and provides practical guidance for improving the quality of metaverse education and promoting the sustainable development of metaverse education.