• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 论文 • 上一篇    下一篇

基于大数据分析的计算机网络课程自适应学习系统构建

邓莉琼,肖秋根,李中宁,任媛   

  1. (空军大连通信士官学校信息网络系,辽宁 大连 116600)
  • 收稿日期:2015-09-17 修回日期:2015-11-19 出版日期:2016-11-26 发布日期:2016-12-26

Construction of an adaptive learning system of
computer network course based on big data analysis

DENG Liqiong,XIAO Qiugen,LI Zhongning,REN Yuan   

  1. (Dalian Airforce Communication NCO Academy,Dalian 116600,China)
  • Received:2015-09-17 Revised:2015-11-19 Online:2016-11-26 Published:2016-12-26

摘要:

大数据时代数字化的学习资源将呈现爆炸式的增长,面对海量的学习资源,学习者如何选择,或者如何向学习者推送合适的学习资源将成为未来面临的主要问题。针对计算机网络课程授课内容多、知识更新快的问题,通过收集教育过程中的学习行为数据,利用大数据的学习分析技术构建了一个计算机网络自适应学习系统,该系统包含自适应、预测、干预等六大模块,可以针对性地推送学习内容,及时反馈学习者的学习效果,并推荐下一步的学习策略,从而达到因材施教和培养学生自主学习能力的效果。

关键词: 大数据, 数据分析, 计算机网络, 教学, 训练

Abstract:

In big data era, digital learning resources are growing explosively. Facing on massive learning resources, how to choose or how to push proper resources to learners will become a major challenge in the future. To overcome the problems of excessive fast update network course contents, we build a computer network adaptive learning system through collecting learning behavior data in the teaching process based on big data analysis. This system contains six modules: adaptive learning, forecasting, interpose and others, which can push targeted learning contents and feedback learners’ performance in time, thus teaching learners in accordance to their aptitudes.

Key words: bigdata, data analysis, computer network, teaching, training