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基于AI技术的高校智慧教学生态体系的构建与应用——以浙江大学为例 被引量:14

The Construction and Application in Practice of Intelligent Teaching Ecosystem in Colleges and Universities Based on AI Technology ——Taking Zhejiang University as an Example
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摘要 当前高校教育信息化建设已整体提升到新的高度,AI技术快速渗入教育教学各环节。然而总体而言,AI的应用仍处于局部功能或场景应用阶段,亟需从生态学角度考虑其整体性、精准性和联动性,以谋求教学质量的综合提升、精准教学的实施及智慧教育治理的有效变革。基于此,文章结合浙江大学实践,从生态建设角度,聚焦基于AI技术的高校智慧教学生态体系架构的构建,总结其人才培养模式、教学方法、教育治理等方面的实践成效,以期在智慧校园建设的基础上,为国内高校全面进入基于AI技术的智慧教学生态体系建设提供建设思路与实践经验,同时为信息化教育教学理论研究上提供新的实践成果,推动相关研究理论向前发展。 At present,the informatization construction of university education has been promoted to a new height,and AI technology has been rapidly infiltrated into all aspects of education and teaching.However,in general,the application of AI is still in the stage of partial function or scene application,and its integrity,accuracy and linkage need to be considered from the perspective of ecology so as to seek the comprehensive improvement of teaching quality,the implementation of precision teaching,and the effective reform of intelligent education governance.Based on the practice of Zhejiang University,this paper focuses on the construction of AI based smart teaching ecosystem architecture in colleges and universities from the perspective of ecological construction,summarizes its practical achievements in talent training mode,teaching methods,education governance,etc.,with a view to providing construction ideas and practical experience for domestic colleges and universities to comprehensively enter the construction of AI based smart teaching ecosystem on the basis of smart campus construction.At the same time,it provides new practical results for the theoretical research of information education and teaching,and promotes the development of relevant research theories.
作者 沈丽燕 李萌 张紫徽 杨玉辉 张宇燕 SHEN Li-yan;LI Meng;ZHANG Zi-hui;YANG Yu-hui;ZHANG Yu-yan(Information Technology Center,Zhejiang University,Hangzhou,Zhejiang,China 310027)
出处 《现代教育技术》 CSSCI 2022年第12期85-92,共8页 Modern Educational Technology
基金 浙江省高等教育学会高等教育研究课题“基于知识图谱,以OBE为导向的本科专业培养课程体系重构模型研究”(项目编号:KT2021392)的阶段性研究成果。
关键词 人工智能 智慧教学生态体系 知识图谱 智能机器人助教 artificial intelligence smart teaching ecosystem mapping knowledge domain intelligent robot assistant
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