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    元宇宙教育应用技术与工程教育深度学习: 技术主题识别与应用场景对接

    Metaverse Educational Application Technology and Deep Learning in Engineering Education: Identification of Technical Themes and Alignment with Application Scenarios

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【作      者】:

范惠明, 金 莹


【关 键 词 】:

元宇宙; 工程教育; 深度学习; LDA主题模型; 应用场景


【栏      目】:

学习环境与资源


【中文摘要】:

文章旨在探讨元宇宙教育应用技术包含的关键技术主题类别,并进一步探究各个技术主题与潜在工程教育应用场景的可对接性,以赋能工程教育深度学习模式的发展与转型。通过LDA主题模型对6个国家和组织的886项元宇宙教育应用技术专利文本进行分析,识别出虚拟现实安全教育与技能培训、模块化虚拟现实教学平台、混合现实医疗实训系统等8个核心技术主题,并基于工程教育深度学习模式需求,构建了智能驱动、交互导向、融合聚焦、沉浸强化4类应用场景,即元宇宙教育应用技术赋能教育的4I框架。研究认为,元宇宙教育应用技术赋能教育的4I框架不仅可以为工程教育突破时空限制提供技术路径,更通过跨学科资源整合、个性化学习路径设计、沉浸式认知反馈等,促进工程人才培养从知识传递的浅层学习转向能力生成的深度学习范式。 


【英文摘要】:

This paper aims to explore the key technological thematic categories encompassed within metaverse educational application technologies, and further investigate the compatibility of each technological theme and potential engineering education application scenarios, so as to empower the development and transformation of deep learning modes in engineering education. Through LDA topic model, 886 metaverse educational application technology patent texts from six countries and organizations have been analyzed, and eight core technological themes have been identified, including virtual reality safety education and skills training, modular virtual reality teaching platforms, and mixed reality medical training system, etc. Furthermore, based on the requirements of deep learning modes in engineering education, four types of application scenarios are constructed: the intelligence-driven, the interaction-oriented, the integration-focused, and the immersive-enhanced. These construct the "4I" framework for metaverse educational application technologies empowering education. The study holds that the "4I" framework can not only provide technical pathways for engineering education to break through the limitations of time and space, but also facilitate the transformation of engineering talent cultivation from superficial knowledge transmission to a deep learning paradigm focused on competency development through interdisciplinary resource integration, personalized learning path design, and immersive cognitive feedback, etc.

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