Comparison of different machine learning models in educational data analysis

Abstract

In recent years, online classes have rapidly increased due to social conditions such as COVID-19. This has led to the accumulation of a large amount of evidence on learning in learning management systems (LMS), and online classes have become widespread. However, there are some disadvantages, and students are sometimes left behind. In this study, we analyzed and compared educational data using two machine learning models to examine the differences in contributing features.