Impact on Higher Education in Pandemic: Analysis K-Means Clustering Using Urban & Rural Areas

Abstract

The corona pandemic shook the world in 2019 to till from lockdowns to late night curfews, corona virus also impacted the education sector. The shift from the traditional offline education to the new digital online education was adopted by most universities and colleges but many students faced problems due to the difference in socio economic backgrounds and the availability of internet in rural areas. The Indian government is still working on complete digitalization of India and it plans to provide internet to every rural area by 2022 which shows that India still has a long way to go. India is a developing country and it faces many problems in the education sector. This research paper introduces and represented the word pandemic and gives brief information about management of a pandemic. Moreover a data analytics term clustering is defined with its two types, i.e. inclusive and exclusive clustering. Further the K-means algorithm is explained and we have discussed about the impact of pandemic on higher education and how it has affected the students living in urban areas and rural areas with lack of internet services with the help of a clustering technique called k-means clustering representing various densities of the population having access to the internet in urban areas and rural areas. Analyzing the graph we have briefly introduced the 3G and 4G mobile technologies and discussed 3G architecture and 4G architectureand reached a possible solution where areas in dire need of the internet facilities are brought into light and efforts being made by the concerned authorities are told.