COVID-19 对教育影响的探索性数据分析

Venu Paritala
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引用次数: 0

摘要

COVID-19 在全球范围内的传播对教育产生了重大影响,导致在线学习的广泛采用,而中小学和大学中面对面的互动则逐渐减少。本文采用探索性数据分析(EDA)方法建立了一个统计模型,全面评估了 COVID-19 在 2021 年 12 月之前对全球教育系统的影响。该研究深入探讨了这种影响的复杂性,研究了全球教育中每天和每周的变化。研究还对不同国家的教育影响进行了比较,重点是将印度与邻国和受该流行病严重影响的国家进行对比。研究分析了直接影响,并探讨了对医疗保健部门的影响,为未来疫情爆发时的规划提供了启示。通过探讨数据和趋势,文章旨在就 COVID-19 对全球教育的多方面影响提供有价值的见解,帮助人们在面对前所未有的挑战时做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An exploratory data analysis of COVID-19 impacts on education
The global spread of COVID-19 has significantly impacted in education, leading to the widespread adoption of online learning as face-to-face interactions in schools, colleges, and universities diminished. This article employs an exploratory data analysis (EDA) approach to develop a statistical model that comprehensively assesses the influence of COVID-19 on the world's education system until December 2021. The research delves into the complexities of this impact, examining day-to-day and week-to-week variations in education globally. It also compares the educational effects in different nations, with a specific focus on contrasting India with neighbouring countries and those severely affected by the pandemic. The study analyses immediate effects and addresses implications for the healthcare sector, offering insights for planning in the event of future outbreaks. By exploring data and trends, the article aims to provide valuable insights into the multifaceted impact of COVID-19 on global education, facilitating informed decision-making in the face of unprecedented challenges.
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