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大数据背景下的碎片化学习利弊分析 被引量:2

Analysis of pros and cons of fragmented learning in the context of Big Data
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摘要 随着科学技术的发展与普及,当今碎片化学习已经成为一种大众所喜爱的方式,它普遍存在于我们日常的生活、学习和工作之中。通过对碎片化学习内涵、碎片化学习与系统化学习的辨别,表明其有学习资源丰富、学习内容多样、学习时间较短、学习地点灵活等特点,同时导致了知识分散、信息良莠不齐、对系统化学习不利,学生学习主动性要求较高等利弊。文章在近年来各学者的研究基础上,着重于内涵与系统化学习辨别,进行了利弊分析。 With the development and popularization of science and technology,fragmented learning has become a popular way of today.It is commonly used in our daily life,study,and work.The author is based on the identification of systematic learning,it shows that it has the characteristics of rich learning resources,diverse learning content,shorter learning time,and flexible learning location.At the same time,it has led to scattered knowledge,uneven information,disadvantages to systematic learning,and students’learning initiative requirements Higher pros and cons.Based on the research of various scholars in recent years,the author focuses on the identification of connotation and systematic learning to analyze the advantages and disadvantages.
作者 李香岭 Li Xiangling(Yunnan Normal University,Kunming 650000,China)
机构地区 云南师范大学
出处 《无线互联科技》 2021年第19期144-145,共2页 Wireless Internet Technology
关键词 碎片化学习 特征 利弊 fragmented learning characteristics advantages and disadvantages
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