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The COVID-19 Pandemic and Data Science and Statistics Education.

Authors :
Horton, Nicholas J.
Source :
Journal of Statistics & Data Science Education. 2024, Vol. 32 Issue 2, p121-121. 1p.
Publication Year :
2024

Abstract

The COVID-19 pandemic had a significant impact on the education sector, forcing institutions, instructors, students, and parents to adapt to online or hybrid learning models. The Journal of Statistics & Data Science Education has published fifteen papers that describe approaches to addressing the challenges of the pandemic, with a focus on improving inclusive and flexible learning environments. The current issue of the journal features ten papers on various topics, including emergency online teaching, technology-enhanced instruction, and engaging students with COVID-19 journal articles. The journal also explores other timely topics such as causal inference, personalized education, and case studies using data from the U.S. Geological Survey. The collection of papers is available for free online and can provide valuable insights for the community to learn from this challenging time. [Extracted from the article]

Details

Language :
English
ISSN :
26939169
Volume :
32
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Statistics & Data Science Education
Publication Type :
Academic Journal
Accession number :
176244232
Full Text :
https://doi.org/10.1080/26939169.2024.2319002