基于学习分析的线上课程学习效果评价方法研究

Research on Online Course Learning Effect Evaluation Method Based on Learning Analysis

随着在线教学平台的普及和学习分析技术的不断发展,合理利用教育大数据,对线上课程学习效果进行科学评价显得尤为重要。通过Pearson相关性分析和多元线性回归分析探究线上学习过程中影响学习效果的关键指标,提出线上学习效果评价方法,并应用于教学实践。结果表明,该方法可对学生的线上课程学习效果进行有效评价,有助于教师针对性地干预学生学习,提升学生的线上学习效果。

With the popularization of online learning platforms and the continuous development of learning analysis technology,it is particularly important to use educational big data to scientifically evaluate the learning effect of online courses.Through Pearson correlation analysis and multiple regression analysis,the key index that affect the learning effect in the online learning process are explored,the online learning effect evaluation method is proposed,and it is applied in teaching practice.The results show that students'online course learning effects can be effectively evaluated by this method,teachers can have targeted intervention in students'learning and improve students'online learning effects.