Research on the Framework Construction of Online Learning Monitoring and Warning Sys-tem Based on Performance Management Orientation
This article is based on the perspective of performance management theory,exploring the construction of an online learning performance monitoring and warning framework,and conducting case application research.The research results indicate that the design and construction of an online learning performance monitoring and warning framework should be based on three dimensions of content elements:learning behavior,learning satisfaction,and learning outcomes;Using a nonlinear threshold regression model as the"information processing hub"can improve the effectiveness of online learning performance monitoring and warning frameworks;The online learning performance monitoring and warning framework constructed by the application can achieve a"performance management oriented"quantitative measurement and panoramic display of online learning performance,providing scientific decision-making support from different perspectives for the allocation and optimization of online learning resources.Therefore,it is necessary to fully leverage the advantages of big data resources in online learning environments,as well as the efficacy advantages of nonlinear models such as threshold regression models in big data environments,as a dual round support,and continuously strengthen the theoretical research and practical application of online learning performance monitoring and warning frameworks.
online learningperformance managementmonitoring and warningsystem framework
万方数据
维普
