学习分析技术:挖掘大数据时代下教育数据的价值

Learning Analytics: Mining the Value of Education Data under the Big Data Era

当前,大数据时代已经来临,教育领域同样积累了海量数据。教育领域已经部署了众多的学习管理系统,在这些软件系统中存储着海量的学习者信息及学习过程数据。如何利用这些数据,使这些数据转变为信息、知识,并为教学决策、学习优化服务,已成为教育工作者以及学习者们所关注的内容。学习分析技术有助于发挥学习过程数据的价值,使数据成为审慎决策、过程优化的重要依据。该文介绍了国内外学习分析技术研究现状,归纳出学习分析技术的关键技术及分析模式,并以实例从不同用户视角包括管理者、辅导教师、学习者展示了学习分析技术在网络学习过程分析中的应用过程。

Currently, the big data era has arrived and the field of education also has accumulated huge amounts of data. In the field of education, more and more software systems have been deployed and there stores massive educational data. How could we fully use the massive educational data and transfer the data into useful information and knowledge in order to make scientific educational decision and optimize instruction has become the content concerned by educators and learners. Learning analytics could be used for realizing the value of learning process data. In this paper, the author introduces domestic and foreign current studies of learning analytics, summed up the key technology and analytical model of learning analytics, and with three examples respectively from different users perspective including administrators, tutors and learners, demonstrates application process of learning analytics in analyzing online learning process.