基于数字孪生技术的工程训练教学模式探索

An Exploration of Engineering Training Teaching Model Based on Digital Twin Technology

摘要: 为应对传统工程训练教学模式在智能制造人才培养中的挑战，本文提出了一种以数字孪生技术为核心驱动的创新教学方法。该方法通过构建高度仿真的数字化工厂环境，使学生能在安全可控的虚拟空间中自主完成智能产线全链路实践操作。遵循“理论引导–闯关实践–全链路仿真”的递进式教学路径，并融入面向机械、计算机、文科、艺术等不同专业类别的定制化教学内容设计，有效解决了传统教学中学生主体性缺失、实践技能习得不足及认知深度局限等核心问题。教学效果表明，该模式显著提升了学生的学习动机、实践能力、创新思维及跨学科协作能力，培养了适应国家智能制造需求的高素质人才。本研究为工程教育的数字化转型提供了可复制、可推广的新范式。

Abstract: To address the challenges faced by traditional engineering training teaching models in intelligent manufacturing talent cultivation, this paper proposes an innovative teaching method driven by digital twin technology. This method constructs a highly simulated digital factory environment, enabling students to independently complete full-lifecycle practical operations of intelligent production lines in a safe and controllable virtual space. Following a progressive teaching path of “theoretical guidance - challenge-based practice - full-chain simulation”, and integrating customized teaching content designed for different professional categories such as mechanical engineering, computer science, liberal arts, and arts, it effectively resolves core issues in traditional teaching, such as the lack of student agency, insufficient practical skill acquisition, and limited cognitive depth. Teaching effectiveness demonstrates that this model significantly enhances students’ learning motivation, practical abilities, innovative thinking, and interdisciplinary collaboration skills, cultivating high-caliber talents suited to the national intelligent manufacturing demands. This research provides a replicable and scalable new paradigm for the digital transformation of engineering education.