基于逻辑回归算法的MOOC平台学习行为特征相关性研究

Research on the Correlation of Learning Behavior Characteristics of MOOC Platform based on Logistic Regression Algorithm

主要研究和分析软件技术领域的MOOC平台学习者行为数据与学习完成度之间关系。先将学习者行为划分为选课行为和听课行为,再汇总和预处理相关指标数据,并采用逻辑回归算法的分类模型计算得出相关系数。最后评价该模型的有效性,并提出MOOC平台在引导用户学习行为功能上的设计建议。

This paper mainly researches and analyzes the relationship between the learners behavior data and the degree of completion in the MOOC platform of software technology. First of all, the learners＇ behavior is divided into selecting course behavior and learning behavior, then summarizes and preprocesses relevant indicators data, and calculates the correlation coefficient of the classification model of logistic regression algorithm. Finally, the validity of the model is evaluated, and the design proposal of the MOOC platform is put forward to guide the user learning behavior.