Implementation of Data Mining Approach to Find the Adaptability of Students in Online Education During COVID-19 Pandemic

Abstract

The global COVID-19 pandemic has severely affected every aspect of human life, including education. The virus' stunning spread created havoc in the educational system, causing educational institutions to close. As an effect, students must quickly adopt to the change to synchronous online learning. This study identified the different aspects affecting the adaptability level of students in online class. It also identifies the student’s adaptability level in different circumstances in online classes. A sample of 1205 school, college and university students from Bangladesh has been examined using data mining technique to find their adaptability level. The result shows that college and university students have more adaptability than the school students.