Using Learning Management Systems in an Internet of things (IOT) Smartphone Device Amidst COVID-19 Crisis

Abstract

Technology arises today the viable to use an Educational Technology tool can be done in an internet-based system especially on the current pandemic crisis-COVID-19 we are facing The Researcher is thinking of integrating the existing Learning Management System (LMS) in an IoT SMARTPHONE Device, the reason behind this study is its accessibility and mobility wherever you are you for example while you are in your travel you can still access LMS via SMARTPHONE Device and then from there you can remind or send some information or data needed to be uploaded in the Systems accessible by the students in any learning platform IoT implementation influences on decreasing healthcare costs and improve handling outcomes of the COVID-19 infected patient Therefore, the study also attempted to explore, discuss, and highlight the overall applications of the IoT philosophy by offering a perspective roadmap to tackle the COVID-19 pandemic, (Singh, Javaid, Haleem, & Suman 2020) Several useful technologies that IoT helps proper controlling and management of COVID-19 pandemic and these have been discussed in other studies as well These technologies have IoT could also help in the detection and diagnosis of COVID-19 and other health-related problems and symptoms (Javaid, et al 2020) The study aims to diagnose COVID-19 earlier and to improve its treatment by applying medical technology, the COVID-19 Intelligent Diagnosis and Treatment Assistant Program based on the Internet of Things (IoT) Application The Application can be implemented in real-time online communication using the “cloud” (San, et al 2020) This only means that the outbreak gains ground in other countries, leading towards a global health emergency and as a global partnership is required in numerous quarters However, while effective protocols regarding the sharing of health data are given emphasized, on the other hand, specifically relating to health and safe city concepts, is still viewed from an expert perspective as exclusively benefiting a nation’s economy and its economic and political influence, (Allam & Jones 2020) Further research must be conceded out for the development of automated and effective IoT Application with Learning Management Systems in Smart Watches to provide early and timely detection of outbreaks of such diseases to reduce illness mortality and prevent worldwide spread, (Rahman, et al 2020)