人工智能时代通信领域人才学习空间再设计  

The Redesign to Talents Learning Space in Communication Field in the Era of Artificial Intelligence

作　　者：耿英楠[1] 冯雷[1] 刘洋[1] GENG Ying-nan;FENG Lei;LIU Yang(Changchun Institute of Technology,Changchun 130021,China;不详)

机构地区：[1]长春工程学院,长春130012

出　　处：《长春工程学院学报（社会科学版）》2020年第3期102-104,共3页Journal of Changchun Institute of Technology(Social Sciences Edition)

基　　金：吉林省教育科学“十三五”规划课题“人工智能时代的通信领域人才学习空间的研究”(项目编号:GH180344);2020年度吉林省高教科研“新工科背景下自动化类专业课程实践教学方法的研究”(项目编号:JGJX2020D329)。

摘　　要：随着人工智能的发展,有创新精神、态度、技能和知识的通信领域人才是通信领域学科得以发展的重中之重。然而,传统单一课堂的教学方式很难满足人才培养的需要。本文对人才培养现存的学习空间进行思考,基于PST框架,提出学习空间重构建议。With the development of AI( Artificial Intelligence),talents with creative spirit,attitude,skills,andknowledge are the most important parts in the scientific development in communication field. However,traditional teaching mode only in class is hard for the need of talents cultivating. In this paper,the existing learning space for talents training is studied. Based onPST framework,a reconstructed learning space is proposed.

关 键 词：学习空间 PST框架 通信领域 

分 类 号：G642[文化科学—高等教育学]