Statistical Analysis of Covid Impact on Education in North America
- DOI
- 10.2991/978-2-494069-31-2_361How to use a DOI?
- Keywords
- Covid-19; North America; Statistical Analysis; Decision tree model; School
- Abstract
The Covid-19 pandemic since 2019 has affected various aspects of the world like economic and finance. But the utmost loss that the people would face is related to the education sector. Any country, big or small, but if its educational system is good and according to the world standard then it is destined to make progress. Besides, the Covid-19 epidemic has inevitably resulted in an increase in the usage of digital technology which based on the huge statistics data. Statistics has proven its worth in every field, and easily convey numerical details. It’s also a representation of mathematical research that utilizes various quantitative models to deliver a batch of empirical data or examinations of naturalistic life. This study discusses the statistics data related to Covid-19. Specifically, in the education part, decision tree algorithms model in machine learning were used to predict the school closures level in North America countries (USA and CAN). Since the lockdown, the parents seemed very concerned over school closure and the education sector faced a major drawback. The result of this analysis indicates that impact of the epidemic on schools is gradually getting better.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yiyang Hu PY - 2022 DA - 2022/12/29 TI - Statistical Analysis of Covid Impact on Education in North America BT - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022) PB - Atlantis Press SP - 3072 EP - 3086 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-31-2_361 DO - 10.2991/978-2-494069-31-2_361 ID - Hu2022 ER -