IMPROVEMENTS FOR STABILIZING THE COLLABORATIVE E-LEARNING SYSTEM ON UNSTABLE ENVIRONMENTS
Published: 20 Oct 2023
Abstract: The target of our collaborative e-learning system consists of schools in the rural villages of developing countries. We have continued study the Kaski district of Nepal as our research field since 2012. In this area, there are not only problems such as a lack of learning resources and instructors, but also issues related to power failure and network outages due to the high altitude and the irregular weather. For such an unstable environment, we have developed a cluster-based e-learning system that can be used independently for each school, despite network disconnections. Since 2016, we have used this system; however, following COVID-19, it became difficult to maintain the system due to lockdown restrictions. Consequently, many devices in our system broke due to aging; therefore, we must improve the system. We changed our mind and found that this as an opportunity, re-construct our system for better stability. In this paper, we propose our new system to achieve stability by providing redundancy on the cloud, and by implementing a new function that enables a new node to join the system automatically.
Keywords: collaborative e-learning, unstable environment, database sharing, developing countries
Cite this article: Ryohei Ito, Krishna Prasad Bhattarai, Ryota Matsuyama, Bishnu Prasad Gautam, Kazuhiko Sato. IMPROVEMENTS FOR STABILIZING THE COLLABORATIVE E-LEARNING SYSTEM ON UNSTABLE ENVIRONMENTS. Journal of International Scientific Publications: Educational Alternatives 21, 46-55 (2023). https://www.scientific-publications.net/en/article/1002569/
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