COVID-19: A Survey on Change in Learning Method from Classroom to Virtual Using Educational Data Mining

Abstract

The process of extracting hidden predictive information from a large data set is called data mining and it is also referred to as Knowledge Discovery from Database i.e. KDD. Time series analysis, prediction, regression, clustering, association rule mining, classification are few data mining techniques used by many sectors for extracting hidden patterns from their huge data warehouses. Educational data mining is an emerging field where data mining techniques are applied to educational data. Corona virus is declared as a pandemic and most of the countries have declared lockdown as a preventive measure against it. During this lockdown, most of the higher education institutes organized online lectures for their students. This paper surveys to understand what kind of teaching students preferred in the future either online or classroom for which data mining classification technique was used with the J48 algorithm. And the result shows that students preferred classroom teaching instead of online teaching.