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


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Dr. Froilan D. Mobo*

Citation: Dr. Froilan D. Mobo, ”Using Learning Management Systems in an Internet of things (IOT) Smartphone Device Amidst COVID-19 Crisis”. American Research Journal of Computer Science and Information Technology, vol 4, no. 1, 2020, pp. 1-3.

Copyright Froilan D. Mobo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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).

KEYWORDS:
Internet of Things (IoT), Covid-19, SMARTPHONE Device, Learning Management System



Description:

Introduction

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).Figure  1  shows  the  interconnection  of  the  Input-Process-Output of the LMS and IoT SMARTPHONE Device.

Methods and Procedure:

To  provide  and  gather  as  much  informative  and  relative  evaluation descriptive research method and qualitative method will be used.  This method includes the use of a questionnaire using Google forms and interviews via zoom since there is a need  to  practice  social  distancing.  A  questionnaire  was  used  as  the  main  data  gathering  instrument  for  this  study  using  Google  Forms.  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 researcher will be using a qualitative statistical treatment such as averages, percentages, and quotas in interpreting the perception of each respondent.

Discussion: The  Findings  aim  to  identify  the  possibility  of  combining  the Learning Management Systems and the Internet of things (IoT)   earlier   and   to   improve,   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”. (Bai, 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 and a study shows that using Any Learning Management System Platforms may:Table  1:  shows  that  there  are  320  Cadets  in  those  who  colleges,  PMMA  Marine  Engineering  Cadets,  270  (84.38)  and  CelTech  Marine  Engineering  and  Marine  Transportation  Cadets  there  are  50  (15.63),  who  are  using  the  Learning  Management System as an alternative learning. Figure  2  shows  that  there  are  320  Cadets  in  those  who  colleges,  PMMA  Marine  Engineering  Cadets,  270  (84.38)  and  CelTech  Marine  Engineering  and  Marine  Transportation  Cadets  there  are  50  (15.62),  who  are  using  the  Learning  Management  System  as  an  alternative  learning  in  graphical  representation.

Results and Conclusion:

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  that  is  why  it  is  highly  recommended  to  implement  the  usage  of   the   Learning   Management   Systems.   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  in  order  to  reduce  illness  mortality  and  prevent  worldwide  spread.  (Rahman, et al. 2020).






Acknowledgement:

I  would  like  to  thank  those  who  morally  supported  and  inspired me to write this article namely:
1. Kenneth Froy Angelo Mobo
2. Ana Liza R. Garcia
3. Rev. Fr. William Monsalud
4. Marijoy S. Pagal
5. My IKSAD Family

Without them, I wouldn’t be able to finish this article.


References

1.Allam,  Zaheer,  and  David  S.  Jones.  “On  the  Coronavirus  (COVID-19)  Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled  with  Artificial  Intelligence  (AI)  to  Benefit  Urban  Health Monitoring  and  Management.”  Healthcare,  vol.  8,  no.  1,  2020,  p.  46.,  doi:10.3390/healthcare8010046.

2.Bai, Li, et al. “Chinese Experts’ Consensus on the Internet of Things-Aided Diagnosis  and  Treatment  of  Coronavirus  Disease  2019  (COVID-19).”  Clinical EHealth, vol. 3, 2020, pp. 7–15., doi:10.1016/j.ceh.2020.03.001.

3.Javaid,  Mohd,  et  al.  “Industry  4.0  Technologies  and  Their  Applications  in  Fighting  COVID-19  Pandemic.”  Diabetes  &  Metabolic  Syndrome:  Clinical  Research  &  Reviews,  vol.  14,  no.  4,  2020,  pp.  419–422.,  doi:10.1016/j.dsx.2020.04.032.

4.Rahman, Md. Siddikur, et al. “Defending against the Novel Coronavirus (COVID-19)  Outbreak:  How  Can  the  Internet  of  Things  (IoT)  Help  to  Save  the  World?”  Health  Policy  and  Technology,  2020,  doi:10.1016/j.hlpt.2020.04.005.

5.Singh, Ravi Pratap, et al. “Internet of Things (IoT) Applications to Fight against COVID-19 Pandemic.” Diabetes & Metabolic Syndrome: Clinical Research  &  Reviews,  vol.  14,  no.  4,  2020,  pp.  521–524.,  doi:10.1016/j.dsx.2020.04.041.

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