碎片化学习在高校个人知识管理中的研究  

Research on Fragmented Learning in Personal Knowledge Management in Colleges and Universities

作　　者：李惠[1] 徐妮静 陆孟 LI Hui;XU Nijing;LU Meng(School of Mathematics and Computer Science,Liupanshui Normal University,Liupanshui,China,553004)

机构地区：[1]六盘水师范学院数学与计算机科学学院,贵州六盘水553004

出　　处：《福建电脑》2020年第12期91-93,共3页Journal of Fujian Computer

基　　金：六盘水师范学院2019年度自然科学项目大数据下基于碎片化学习的高校个人知识管理平台的设计与实现(No.LPSSY201905);六盘水师范学院2019年教改项目CDIO模式下基于云班课的对分课堂教学模式在Java程序设计教学中的应用研究(No.LPSSYjg201915)资助。

摘　　要：随着大数据、人工智能技术的发展,高校大部分学生以手机、平板电脑等移动设备利用碎片化时间来学习专业课。本文以六盘水师范学院学生为研究主体,调查分析学习者对个人知识管理系统的需求,使用网络爬虫工具采集在校学生利用移动设备进行移动学习的数据,并运用Hadoop进行分析,利用数据挖掘构建基于碎片化学习的个人知识管理模型,实现根据学生行为的知识推荐,然后利用Android技术实现基于碎片化学习的个人知识管理平台。通过该系统,用户可以将零碎的时间整合起来实现知识的查缺补漏,使自己的知识系统更加完善,从而有效提高学习效率和提升知识水平。With the development of big data and artificial intelligence technology,most students in colleges and universities use mobile devices such as mobile phones and tablets to learn professional courses in fragmented time.This paper takes the students of Liupanshui Normal College as the main research body,investigates and analyzes the learners’needs for the personal knowledge management system,uses web crawler tools to collect the data of the school students using mobile devices for mobile learning,and uses Hadoop for analysis,and uses data mining to build the personal knowledge management model of fragmented learning.It realizes knowledge recommendation based on student behavior,and then uses Android technology to realize a personal knowledge management platform based on fragmented learning.Through this system,users can take advantage of all learning opportunities and time,integrate the fragmentary time to realize knowledge deficiencies and make up for leakage,make their own knowledge system more perfect,thereby effectively improving learning efficiency and improving their knowledge level.

关 键 词：大数据 个人知识管理 碎片化 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]