AI-based Data Analytics for Assessing the Impact of COVID-19 on the Global Education System

Abstract

The COVID-19 pandemic has had a significant impact on the global education system, forcing schools and universities to adopt online learning platforms. In this study, we aim to analyze the impact of the pandemic on the education system using artificial intelligence-based data analytics techniques. Our analysis is based on data obtained from various universities worldwide, which reflect their current operational status (partially open, fully open, or closed) in response to the pandemic. To analyze this data, we used Power BI, a powerful tool for data visualization and analysis, along with AI-based data analytics techniques. The study provides valuable insights into the impact of the pandemic on the education system, including the challenges faced by educators and learners in adapting to online learning platforms. Our findings can help policymakers and educators to identify areas that require improvement and develop strategies to improve the quality of online education. Overall, this study demonstrates the potential of AI-based data analytics techniques for analyzing large datasets related to the education system and providing insights that can inform decision-making in the context of a global crisis such as the COVID-19 pandemic.