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认知数字孪生体教育应用:内涵、困境与对策 被引量:22

Educational Application of Cognitive Digital Twins:Connotation,Dilemma and Countermeasures
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摘要 智能时代,人类与人工智能(AI)深度融合已成必然发展趋势。认知数字孪生体作为人工智能系统在教育领域应用的典型,与学习者紧密结合,最终形成一种共生自治的关系。认知数字孪生体受数据驱动,在对学习者认知活动的全域感知的基础上,构建与认知实体虚实交互的映射,从而为学生、教师、管理者提供个性化教学与科学管理服务。通过探讨认知数字孪生体的基本内涵与特征,分析其在教育领域的应用前景和所面临的挑战,并从数据、网络、技术、模型、应用等层面构建其技术框架,从宏观、中观、微观层面设计了框架模型,以期挖掘未来认知数字孪生体在教育领域的发展潜能。 In the age of intelligence,the deep integration of human and artificial intelligence,together symbiosis has become an inevitable trend. As a typical application of artificial intelligence system in the field of education,cognitive digital twins are closely combined with learners and eventually form an autonomous symbiotic relationship. Driven by data,cognitive digital twin constructs the mapping between virtual and real cognitive entities on the basis of global perception of learners’ cognitive activities,so as to provide personalized teaching and scientific management services for students,teachers and managers. This paper discusses the basic connotation and characteristics of cognitive digital twin,analyzes its application prospects and challenges in the field of education,constructs its technical framework from the aspects of data,network,technology,model and application,and designs its system framework model from the macro,meso and micro levels,so as to explore the future development of cognitive digital twin in the field of education.
作者 郑浩 王娟 王书瑶 顾雯 ZHENG Hao;WANG Juan;WANG Shuyao;GU Wen(Jiangsu Normal University,Xuzhon Jiangsu 221116)
出处 《现代远距离教育》 CSSCI 2021年第1期13-23,共11页 Modern Distance Education
基金 2020年教育部政策法规司委托课题“在线教育治理研究”(编号:JYBZFS2020107) 江苏师范大学研究生科研与实践创新项目“数字孪生技术在高等教育领域的应用研究”(编号:2020XKT906)
关键词 人工智能 数字孪生 教育大数据 认知数字孪生体 Artificial intelligence Digital twin Educational big data Cognitive digital twin
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