Open AccessEstimation of Online learning Challenges in Rural Areas During a Pandemic with Linear Regression
Author(s) -
Muhammad Marizal,
Diniya Diniya,
Sarina Fadila H
Publication year - 2022
Publication title -
jurnal sains matematika dan statistika
Language(s) - English
Resource type - Journals
eISSN - 2615-8663
pISSN - 2460-4542
DOI - 10.24014/jsms.v8i1.15123
Subject(s) - pandemic , covid-19 , regression analysis , rural area , online learning , process (computing) , psychology , computer science , medical education , political science , medicine , multimedia , machine learning , operating system , disease , pathology , infectious disease (medical specialty) , law
The Covid-19 pandemic has changed the behavior of life today, including the formal learning process that is carried out online. There are many challenges faced by students in following the pattern of the online learning system. Students who live in rural areas or in non-urban areas are students who experience greater challenges. The challenges analyzed in this research are physical, psychological, family and community factors on school policies. It was found that the factors that greatly influence school policy are family and community factors. Furthermore, these factors will be modeled so that they can assist schools in establishing an appropriate policy. This model can also describe in general about online-based learning for non-city areas during the covid-19 pandemic