应用型高校在线学习行为投入与学习成效相关性分析  

The Correlation Analysis of Online Learning Behavior Engagement and Learning Effectiveness in Application-oriented Colleges and Universities

作　　者：刘孙发[1,2] 龚兵丽 林志兴 LIU Sunfa;GONG Bingli;LIN Zhixing(Network Center,Sanming University,Sanming 365004,China;School of Information Engineering,Sanming University,Sanming 365004,China;Office of Educational Administration,Sanming University,Sanming 365004,China)

机构地区：[1]三明学院网络中心,福建三明365004 [2]三明学院信息工程学院,福建三明365004 [3]三明学院教务处,福建三明365004

出　　处：《三明学院学报》2022年第2期116-124,共9页Journal of Sanming University

基　　金：福建省中青年教师教育科研项目(JAT200627/B202018);教育部教师函[2021]13号第二批人工智能助推教师队伍建设试点项目(三明学院)。

摘　　要：学习分析技术可以采集在线教学过程数据,分析学习行为,实现过程评价,已被广泛应用于课程测评和学习投入研究并取得积极成效。基于学习行为投入理论和学习分析技术,构建了基于参与、交互、专注、持续四个维度的在线学习行为与学习成效相关性分析模型,并通过在线学习平台收集数据(含日志文件),利用结构方程模型和数理统计方法对数据进行分析和验证。结果表明,四个维度对学习综合表现都有显著的正向影响,其中持续行为对学习成效影响最大,其次为专注行为,影响最小的是参与行为。The technology of learning analysis can collect online teaching process data, analyze behavior, and realize process evaluation. It has been widely used in course evaluation, learning investment research and has achieved positive results. Based on the theory of learning behavior engagement and the technology of learning analysis, a correlation analysis model of online learning behavior and learning effectiveness based on four dimensions of participation, interaction, focus,and persistence is constructed, and data(including log files) is collected through the online learning platform. Equation models and mathematical statistics methods are used to analyze and validate the data. The results show that the four dimensions have a significant positive impact on comprehensive learning performance. Among them, continuous behavior has the greatest impact on learning outcomes, followed by focused behavior, and participation behavior has the least impact.

关 键 词：学习分析技术 学习行为投入 应用型高校 

分 类 号：G434[文化科学—教育学]