Development and Empirical Study of a Multimodal Educational Agent System in Metaverse for Engineering Education Digital Transformation
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School of Business, Zhengzhou University of Technology, Zhengzhou 450044, China
Abstract
Against the backdrop of digital transformation in higher education, engineering education faces critical challenges including the theory-practice divide and high barriers to technical tool adoption. This study develops a tripartite framework ("functional deconstruction-process modeling-data governance") for educational agent systems, which is built upon the Coze platform and rigorously aligned with the standards of China's Emerging Engineering Education (3E) initiative—for deployment in metaverse learning environments. By implementing multimodal interaction and adaptive decision-making mechanisms via three agent roles (teaching assistant/learning companion/management agent), we construct an immersive learning ecosystem and establish a context-aware paradigm for intelligent interactive education tailored to Chinese engineering education contexts. This research pioneers an innovative approach to cultivating engineering talent for the AI era through transformative learning methodologies.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.