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人机协同视域下的智能学习:逻辑起点与表征形态 被引量:16

Intelligent Learning in the Vision of Human-Machine Collaboration:Logical Starting Point and Representation Form
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摘要 人机协同视域下的智能学习的逻辑起点,应聚焦于传统学习向智能学习转变过程中内涵要素的变化,包括:学习场域、空间和主体需求,科技革命向人工智能时代发展过程中学习论研究侧重点的变化,以及在这一过程中学习价值观的变化。人机协同视域下的智能学习,具有学习目标的整合性、学习过程的动态性、学习主体的互通性、学习内容的生成性以及学习评价的可视性等特点。其表征形态主要体现在物理形态的多元性与无边界性;实施形态的创新性与混合性;方法形态的个性化与虚实结合这三个方面。 To understand intelligent learning in the perspective of human-machine collaboration,we must first find the logical starting point of intelligent learning,that is,the change of connotation elements in the process of traditional learning to intelligent learning,including learning field,learning space and the demands of learning subject;changes in the focus of learning theory in the transition to the era of artificial synergy during the scientific and technological revolution;and changes in learning values in the process.In the process of evolution from classical learning theory to human-computer collaborative learning theory,intelligent learning has the following attributes:learning objectives are integrated,learning process is dynamic,learning subjects are interoperable,learning content is generative,and learning evaluation is visible.Its representation form reflects the following three aspects:the pluralism and borderlessness of physical form,the innovation and hybridity of implementation form,and the combination of individuality and virtual reality of the method form.
作者 艾兴 赵瑞雪 Ai Xing;Zhao Ruixue(Faculty of Education,Southwest University,Chongqing 400715)
出处 《远程教育杂志》 CSSCI 北大核心 2020年第1期69-75,共7页 Journal of Distance Education
基金 国家社会科学基金教育学西部项目“基于多维数据挖掘的课堂深度学习发生机制研究”(课题批准号:XHA190291)的研究成果
关键词 人机协同 智能学习 逻辑起点 表征形态 混合学习 软知识 Human-Machine Collaboration Intelligent Learning Theoretical Logic Representation Form Blended Learning Soft Knowledge
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