Impact of COVID-19 on Quality of Education with Visualization Techniques
Keywords:Covid-19, Data Visualization, Education Quality, Online Classes, Secondary Data Analysis, Social Media Use, Student Experiences
The objective of this research is to examine the effects of the COVID-19 pandemic on the quality of education utilizing secondary data and visualizing the data via R. The COVID-19 pandemic had caused education to experience unprecedented disruptions, requiring a fast shift to remote learning and posing multiple challenges for students and educators everywhere. Leveraging secondary data, the study focuses on students in Delhi and the National Capital Region (NCR) of India and examines different facts of educational quality. The findings showcase that the COVID-19 pandemic had significantly affected schooling, as seen by considerable changes in online class time, self-study hours, sleep patterns, exercise routines, and gadget usage. The results highlight the urgent necessity to lessen the pandemic’s negative effects on the standard of schooling. Policymakers can use the knowledge collected from this study to develop focused efforts to improve educational quality and address issues related to distant learning.
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