Impacts Of Covid-19 On Education Using Data Mining Techniques

Abstract

Machine learning systems that aggregate IoT apps and smart devices have enhanced e-learning systems by providing remote monitoring and screening of instruction and individual educational scores. This paper presents an ANN a deep learning model to detect technical aspects of teaching and e-learning in virtual education systems using data mining and propose a model to estimate execution of ANN which depend on COVID-19 effects. Association rules of data mining and supervised techniques are applied to detect performance of student before Covid-19 and after and Co-relation, Heat map is also added in the research.