在线学习行为分析建模及挖掘

A Continuing Process of Learning Analytics: System Modeling and Mining of Online Learning Behavior

在日趋精密数字技术条件下，学习模式已通过互联网、社会化媒体实现数字化。海量的学习信息以数据的形式蕴含着学习者的隐性行为特征。文章从数据挖掘与领域应用、学习行为及行为分析、网络行为分析模型三个角度对在线学习行为可能的应用方向进行综述研究，探讨学习者的在线学习行为的建模机制，建立了数据、机制、结果三层次模型，并从网络挖掘的角度对学习数据进行模式分类与解析。

With the fast development of sophisticated digital technology， learning mode has been digitized by the inter-net and social media. Massive data of learning behaviors have been created and are growing， showing various formsof learning behaviors， explicitly and implicitly， which carry the information critical to assess learning and promote in-struction. In this paper， three probable directions of online learning behavior which including data mining and do-main of application， learning behavior and analysis of behavior and analytical model of network behavior are re-viewed. Then the behavior modeling mechanism of learners' online learning， establish three hierarchical model withdata， mechanism and result are discussed. Finally， from the experience of web data mining， the pattern of learningdata mining are categorized and analyzed. The research provides a framework and a good way to the analysis of on-line learning behaviors， which has important practical value to fully motivated learning. It widely explores learner'spotential and makes good use of the learning resources.