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人工智能驱动的高校智慧教学空间融合研究 被引量:8

AI-Driven Integration of Intelligent Teaching Space in Colleges
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摘要 人工智能驱动的高校智慧教学融合了高校教学与人工智能技术的优势,已成为大数据环境下现代高校教学改革与发展的重要现实课题之一。本研究基于人工智能驱动的视角,审视其内嵌于高校智慧教学空间的融合实践可能性,试图构建一种将方法、技术、资源融为一体的“三维空间设计(物理空间、虚拟空间、数据联通空间)”。为此,面向不同主体(教师、学生和教学过程)来刻画人工智能驱动的智慧教学应用图景,以期理顺智慧教学空间融合的实践面向逻辑,旨在进一步助推高校智慧教学的高质量发展。 The AI-driven intelligent teaching has become one of the much-concerned practical issues of teaching reform and development in modern colleges and universities in the era of big data. This study examines the possibility of embedding instructions in the intelligent teaching space in colleges and universities from the perspective of artificial intelligence, in an attempt to build a three-dimensional space design(physical space,virtual space, and data connectivity space) that integrates methods, technologies and resources. It therefore describes the application prospect of smart teaching driven by artificial intelligence for different subjects(teachers, students and teaching process), in order to straighten out the practice-oriented logic of intelligent teaching space reproduction, to further promote the high-quality development of intelligent teaching in colleges and universities.
作者 詹国辉 刘涛 戴芬园 ZHAN Guo-hui;LIU Tao;DAI Fen-yuan(School of Public Management,Nanjing University of Finance and Economics,Nanjing 210023,China;Reform and Development Office,Nanjing University of Finance and Economics,Nanjing 210023,China;Editorial Dept.of Academic Journals,Nanjing University of Finance and Economics,Nanjing 210023,China)
出处 《宁波大学学报(教育科学版)》 2022年第3期66-74,共9页 Journal of Ningbo University(Educational Science Edition)
基金 国家社会科学基金教育学青年课题“教育结果公平视角下贫困家庭子女的义务教育补偿机制研究”(CFA200249) 南京财经大学高等教育及改革发展专项重点课题“财经类高校科研人员风险感知对成果转化‘抗拒’行为的作用机理及实证研究”(GJ201808)。
关键词 人工智能 智慧教学 教学空间 空间融合 artificial intelligence intelligent teaching teaching space space reproduction
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