Metaverse Technology-Enabled Future Learning Ecosystem: Construction Paths, Practical Dilemmas, and Optimization Strategies

Abstract

The metaverse, as an integrated product of multiple digital technologies such as virtual reality (VR), augmented reality (AR), blockchain, and artificial intelligence (AI), is profoundly reshaping the form and connotation of future learning. This study focuses on the construction of a metaverse technology-enabled future learning ecosystem, explores its core components and construction paths, analyzes the practical dilemmas in the application process, and proposes targeted optimization strategies. Based on a systematic review of relevant literature and in-depth analysis of typical cases, the research identifies four core components of the metaverse-enabled learning ecosystem: immersive learning environments, intelligent interactive interfaces, distributed learning resources, and collaborative learning communities. It also summarizes three main construction paths: technology integration-driven, scenario-oriented design, and user demand-oriented iteration. However, the practical promotion of this ecosystem faces dilemmas such as technical accessibility gaps, high development and operation costs, inadequate teacher digital literacy, and ethical and regulatory risks. To address these issues, the study proposes optimization strategies including strengthening technical research and popularization, establishing multi-party collaborative investment mechanisms, improving teacher training systems, and improving ethical norms and regulatory frameworks. This research enriches the theoretical system of future learning and provides practical guidance for the integration of metaverse technology and digital education.