智慧学习空间中学习行为分析及推荐系统研究  

Research on the Learning Behavior Analysis and Recommender System in Smart Learning Space

作　　者：赵铮[1] 李振[1] 周东岱[1] 钟绍春[2] 

机构地区：[1]东北师范大学信息与软件工程学院,吉林长春130117 [2]教育部数字化学习支撑技术工程研究中心,吉林长春130117

出　　处：《现代教育技术》2016年第1期100-106,共7页Modern Educational Technology

基　　金：2013年度教育部中国移动科研基金"信息技术支持下的教学模式效果测量方法体系及实证研究"(项目编号:MCM20130641);2014年度吉林省教育厅项目"基于翻转课堂模式的网络学习空间设计与应用研究"(项目编号:1405078)的阶段性研究成果

摘　　要：智慧学习空间是智慧学习理念下构建的学习空间新形态,学习分析是智慧学习中不可或缺的组成成分。文章围绕智慧学习过程中面向学习者对于知识内容的"呈现与获取"、"个性化建构与拓展延伸"两大环节以及学习者所处的学习状态,构建了学习行为分析及推荐系统。该系统利用W eb挖掘技术,从学习内容、学习路径和空间使用记录三个方面针对智慧学习过程模型中的学习行为进行数据分类挖掘,通过与优秀学习者路径及路径知识点相关学习行为进行相似性比对,为学习者进行个性化学习推荐路径。Smart learning space is a new form of learning space which is constructed under the concept of smart learning, and the learning analysis is an indispensable component of smart learning. This paper focused on the two issues of learning process that was ＂knowledge representation and acquisition＂ and ＂knowledge personalized construction and extension＂ and the state of students＇ learning to establish the learning behavior analysis and recommender system. The web mining technology was utilized to classify the data from three aspects, included learning content, learning path, and space usage record, of smart learning process. Finally the similarities comparison of learning path and path knowledge point learning-related behavior with previously outstanding graduates were conducted to recommend learner＇s individual leaning path.

关 键 词：智慧学习空间 学习行为分析 学习者相似度计算 学习路径推荐 

分 类 号：G40-057[文化科学—教育学原理]