人工智能赋能的教育元宇宙研究与进展

Artificial intelligence-empowered educational metaverse

  • 摘要: 通过系统回顾国内外教育元宇宙的发展现状,从理论、应用、技术及关键问题4个维度进行了综合分析,并着重考察了基于人工智能(artificial intelligence,AI)的精准教学及其内容多样化、多重知识表达机制、学习行为识别等关键技术的研究进展.结果表明:教育元宇宙通过虚拟现实(virtual reality,VR)、AI与人机交互等技术的融合,可获得高沉浸感的虚实融合教学体验,显著提升学习效果,但其在认知机制研究、个性化学习支撑、AI算法准确性方面仍存在不足.由此可知,解决硬件成本、数据与伦理安全、技术融合等关键问题是实现教育元宇宙广泛落实的基石.

     

    Abstract: Current developments in educational metaverse both at home and abroad are reviewed, comprehensive analysis is done from 4 dimensions: theory, application, technology, and key issues. Artificial intelligence-driven precision teaching, diversified teaching content, multi-modal knowledge representation, and learning behavior recognition are highlighted. Educational metaverse, by integrating virtual reality, artificial intelligence, and human-computer interaction technologies, provides highly immersive blended teaching experiences, to significantly enhance learning outcomes. However, shortcomings remain in cognitive mechanism research, support for personalized learning, and accuracy of artificial intelligence algorithms. Therefore, addressing critical issues (hardware costs, data and ethical security, technological integration) are important to implement widespread educational metaverse.

     

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