基于数据分析的学生在线学习行为研究

Research on students’online learning behaviors based on data analysis

在线学习中,通过学习管理系统检测学生学习行为有利于帮助学生实现个性化学习。实验结果表明:一、学生在线学习成绩与学习行为具有高度关联性,对于积极性较高的学生,他们的在线学习成绩会较高,而学生的社会人口特征数据(年龄、性别、地区等)与学生成绩关联度不高;二、学生对LMS系统不同模块的访问程度也不同,有些模块学生基本不访问,有些模块学生访问量较少,只有少数一些模块学生访问频率较高;三、学生相互之间的学习行为模式影响也较低,只有约20%的学生受其他学生影响,学生受教师影响也较低,只有约10%的学生受授课教师行为影响。

In e-learning,through the learning management system to detect students’learning behavior is conducive to help students achieve personalized learning.The experimental results show that:first,there is a high correlation between students’online learning achievement and learning behavior,for students with high activity in e-learning,their scores will be higher,however students’social demographic data(age,gender,region,etc.)have little correlation with students’performance;second,students’access to different components of LMS has different frequency,some components are almost not visited by students,some components have less clicks,and only few components have high visit frequency;third,he influence of students’learning behavior patterns is low,only 20%of the students are influenced by other students,students are also less affected by teachers,only 10%of the students are affected by the teacher’s behavior.