An Analysis On School Dropouts During Covid-19 Using Machine Learning Algorithms

Abstract

Education is the dream of every Indian citizen and they are even ready to sell whatever they have for their livelihood for good education. That is why the national education percentage, which was significantly higher when the country gained independence in 1947. But the bitter truth is that education has not escaped the clutches of the Corona monster that brought the world under its control in 2019. Many rural Indian students were deprived of the opportunity to study and were forced to go for a lucrative job to survive and maintain their loved ones. One of the main reasons for this is not only the indefinite closure of educational institutions due to the corona epidemic but also the paralysis of employment, loss of income, rising prices of basic needs and total paralysis of unorganized industries. This research analysis the reason for school dropout during Covid-19 using machine learning algorithms. The current qualitative case study aims to better comprehend the nature of school dropouts in India, Tamilnadu state. The K-means algorithm is used for clustering the dataset and Random Forest algorithm is used for classifying the reason for dropouts.