摘要
【目的/意义】在互联网环境下,大数据、云计算己经成为当今社会关注的热点问题,其核心技术发展逐渐成熟。大数据为我们提供了丰富的网络资源,它具有很大的经济、社会价值,已经渗透到各种领域并且成为重要的生产因素,尤其在教育领域的应用备受人们关注。【方法/过程】本文首先通过网络自主学习获得知识,然后阐述网络自主学习的必要性,采用实证调查的方式了解目前对网络自主学习的认识、使用情况。在分析现有的网络学习模型缺乏智能性、自适应性的基础上,提出一种改进的实体模型,它无论在个人学习还是教学中具有趣味性和人性化色彩,具有交互协作能力,能自适应的生成教学策略。【结果/结论】通过使用调查问卷等方式进行实证分析,结论是大数据环境下自主学习能够提高学生的学习效率和综合实用能力,通过实证分析,实验证明该模式确实能提高学生的学习效率和综合实用能力。
【Purpose/significance】In the Internet environment, big data and cloud computing have become a hot topic of concern in today＇s society, and its core technology is gradually maturing.The Internet is changing people＇s learning, work and life style more and more profoundly, even affecting the whole process of society.Big data provides us with rich network resources, it has great economic and social value, has penetrated into various fields and become an important production factor, especially in the application of people＇s attention in the field of education.【Method/process】Through the network autonomous learning,this article gets knowledge firstly, then expounds the necessity of network autonomous learning, uses empirical surveys to obtain the current understanding of network autonomous learning and using.On the analysis of the lack of intelligence and self-adaptability of existing network, an improved physical model are proposed, it has the interactive cooperation ability both in individual learning and teaching with fun and humanized color, it also can generate the teaching strategy of adaptive.【Result/conclusion】The big data environment of autonomous learning can improve students learning efficiency and comprehensive practical ability, the experiment proved that the model can improve students＇ learning efficiency and comprehensive practical ability.
作者
邢国春
XING Guo-Chun(school of computer science and technology, changchun normal university, Changchun 130032, China)
出处
《情报科学》
CSSCI
北大核心
2018年第6期84-88,共5页
Information Science
基金
吉林省教育厅项目(201712
201912)
关键词
大数据
接口模块
信息资源
学习策略
big data
interface module
information resource
learning strategy
