帆船教程.ppt

大数据环境下学业预警系统设计与分析
金义富吴涛张子石王伟东
岭南师范学院广东高校数字化学习工程技术开发中心
X
关注成功!
加关注后您将方便地在我的关注中得到本文献的被引频次变化的通知!
新浪微博
腾讯微博
人人网
开心网
豆瓣网
网易微博
摘    要:
随着互联网+教育的深度融合,教育大数据逐渐成为学习分析的主要手段。该文讨论了构成教育大数据环境的数据分类、收集与存储组织,以及教育数据挖掘和学习分析的一般思路与方法,探讨了在大数据环境下的学业预警系统设计框架,提出了一种基于离群数据挖掘与分析的课程、课堂、课外“三位一体”预警信息发现与生成模型LAOMA(Model of Learning Alert Based on Outlier Mining and Analysis),建立了学业预警两类六级信号系统及反馈机制。最后阐述了包括学业预警在内的学习分析技术使个性化学习真正成为可能,但如果应用不当,过分依赖生硬的数据也可能与教育的本质不相符合。
关键词:
教育大数据; 学习分析; 离群挖掘; 预警信号; 教育反思;
作者简介:金义富:博士,教授,研究方向为数据库技术、知识工程、教育信息化(yfjin@)。
作者简介:吴涛:博士,副教授,研究方向为图像处理、人工智能技术。
作者简介:张子石:硕士,高级实验师,研究方向为教育信息化、学习技术。
作者简介:王伟东:硕士,实验师,研究方向为智能数据处理、教育信息化。
收稿日期:2015年12月25日
基金:广东省自然科学基金项目“基于教育云的学习分析与教育大数据研究”(项目编号:S20**********)研究成果
Design and Analysis of Learning Alert System in Big Data Condition
Jin Yifu Wu Tao Zhang Zishi Wang Weidong
Engineering Technology Development Center in Universities of Guangdong for E-Learning,Lingnan Normal University;
Abstract:
Following the deeply fusing with education, the educational big data are gradually taken for the principal environment in learning analysis. This paper discusses the classification, collection and anization of educational big data, and the general thought and method of educational data mining and learning analysis. A design framework of learning alert system in big data condition is presented in the paper. Further a model of Learning Alert based on Outlier Mining and Analysis(LAOMA) is put forward based on the trinity data of courses, classroom and outside class. And this model is used to discover and generate alert information. The two-type and six-level signal system of learning alert and its feedback mechanism are set up in this paper. Finally, the paper expounds that the individualized instruction can be realized by means of learning analysis technology inclusive learning alert, but inappropriate application of these technology and excessive dependent on rigid data are not likely to suit educational essence.
Keyword:
Edu