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人工智能驱动的高校智慧教学空间融合研究
引用本文:詹国辉刘,涛戴芬园.人工智能驱动的高校智慧教学空间融合研究[J].宁波大学学报(教育科学版),2022,0(3):66-074.
作者姓名:詹国辉刘  涛戴芬园
作者单位:(1. 南京财经大学 公共管理学院,江苏 南京 210023;2. 南京财经大学 改革发展办公室,江苏 南京 210023;3. 南京财经大学 学术期刊编辑部,江苏 南京 210023)
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。

关 键 词:人工智能  智慧教学  教学空间  空间融合

AI-Driven Integration of Intelligent Teaching Space in Colleges
ZHAN Guo-hui,LIU Tao,DAI Fen-yuan.AI-Driven Integration of Intelligent Teaching Space in Colleges[J].Journal of Ningbo University(Educational Science Edition),2022,0(3):66-074.
Authors:ZHAN Guo-hui  LIU Tao  DAI Fen-yuan
Affiliation:( 1 . School of Public Management, Nanjing University of Finance and Economics, Nanjing 210023, China; 2. Reform and Development Office, Nanjing University of Finance and Economics, Nanjing 210023, China; 3. Editorial Dept. of Academic Journals, Nanjing University of Finance and Economics, Nanjing 210023, China )
Abstract: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
Keywords:artificial intelligence  intelligent teaching  teaching space  space reproduction
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