Cloud Computing-based Higher Education Platforms during the COVID-19 Pandemic
Hui Han, Silvana Trimi

TL;DR
This paper analyzes how Chinese higher education institutions utilized various cloud computing platforms during COVID-19, highlighting their models, tools, and strategic implications for remote learning in crisis situations.
Contribution
It provides a comparative analysis of 22 cloud-based education platforms, revealing diverse models and offering strategic insights for effective remote education during crises.
Findings
Different cloud computing models were adopted based on institutional needs.
Platforms varied in tools and features tailored for remote learning.
Insights guide higher education institutions in crisis-responsive cloud platform deployment.
Abstract
Cloud computing has become the infrastructure that supports people's daily activities, business operations, and education delivery around the world. Cloud computing-based education platforms have been widely applied to assist online teaching during the COVID-19 pandemic. This paper examines the impact and importance of cloud computing in remote learning and education. This study conducted multiple-case analyses of 22 online platforms of higher education in Chinese universities during the epidemic. A comparative analysis of the 22 platforms revealed that they applied different cloud computing models and tools based on their unique requirements and needs. The study results provide strategic insights to higher education institutions regarding effective approaches to applying cloud computing-based platforms for remote education, especially during crisis situations.
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Taxonomy
TopicsOnline Learning and Analytics · Cloud Computing and Resource Management · IoT and Edge/Fog Computing
