CAJ | 학술논문

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。
재일추정밀수자기술조건하，학습모식이통과호련망、사회화매체실현수자화。해량적학습신식이수거적형식온함착학습자적은성행위특정。문장종수거알굴여영역응용、학습행위급행위분석、망락행위분석모형삼개각도대재선학습행위가능적응용방향진행종술연구，탐토학습자적재선학습행위적건모궤제，건립료수거、궤제、결과삼층차모형，병종망락알굴적각도대학습수거진행모식분류여해석。
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 forms of 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 learnersj online learning, establish three hierarchical model with data, mechanism and result are discussed. Finally, from the experience of web data mining, the pattern of learning data 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＇s potential and makes good use of the learning resources.