Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh

<h4>Background</h4> E-learning is a relatively trending system of education that has been placed over conventional campus-based learning worldwide, especially since the emergence of the COVID-19 pandemic. This study aimed to assess e-learning readiness among university students of a deve...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Humayun Kabir, Sarker Mohammad Nasrullah, Md. Kamrul Hasan, Shakil Ahmed, Mohammad Delwer Hossain Hawlader, Dipak Kumar Mitra
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/5ccd3930b05b4985b914237c15909ca1
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:5ccd3930b05b4985b914237c15909ca1
record_format dspace
spelling oai:doaj.org-article:5ccd3930b05b4985b914237c15909ca12021-11-04T06:49:33ZPerceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh1932-6203https://doaj.org/article/5ccd3930b05b4985b914237c15909ca12021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553166/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4> E-learning is a relatively trending system of education that has been placed over conventional campus-based learning worldwide, especially since the emergence of the COVID-19 pandemic. This study aimed to assess e-learning readiness among university students of a developing country like Bangladesh and identify the independent predictors of e-learning readiness. <h4>Methods</h4> From 26 December 2020 to 11 January 2021, a total of 1162 university students who had enrolled for e-learning completed a semi-structured questionnaire. Data were collected online via “Google Form” following the principles of snowball sampling through available social media platforms in Bangladesh. A multivariable linear regression model was fitted to investigate the association of e-learning readiness with perceived e-learning stress and other independent predictor variables. <h4>Results</h4> A total of 1162 university students participated in this study. The results indicated that with the increase of students’ perceived e-learning stress score, the average e-learning readiness score was significantly decreased (β = -0.43, 95% CI: -0.66, -0.20). The students did not seem ready, and none of the e-learning readiness scale items reached the highest mean score (5.0). The age, gender, divisional residence, preference of students and their parents, devices used, and having any eye problems were significantly associated with the students’ e-learning readiness. <h4>Conclusion</h4> During the prolonged period of the COVID-19 pandemic, e-learning implication strategies are needed to be assessed systematically with the level of readiness and its’ impacts among students for the continuation of sound e-learning systems. The study findings recommend evaluating the e-learning readiness of university students and the mental health outcomes during the COVID-19 catastrophe in Bangladesh.Humayun KabirSarker Mohammad NasrullahMd. Kamrul HasanShakil AhmedMohammad Delwer Hossain HawladerDipak Kumar MitraPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Humayun Kabir
Sarker Mohammad Nasrullah
Md. Kamrul Hasan
Shakil Ahmed
Mohammad Delwer Hossain Hawlader
Dipak Kumar Mitra
Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh
description <h4>Background</h4> E-learning is a relatively trending system of education that has been placed over conventional campus-based learning worldwide, especially since the emergence of the COVID-19 pandemic. This study aimed to assess e-learning readiness among university students of a developing country like Bangladesh and identify the independent predictors of e-learning readiness. <h4>Methods</h4> From 26 December 2020 to 11 January 2021, a total of 1162 university students who had enrolled for e-learning completed a semi-structured questionnaire. Data were collected online via “Google Form” following the principles of snowball sampling through available social media platforms in Bangladesh. A multivariable linear regression model was fitted to investigate the association of e-learning readiness with perceived e-learning stress and other independent predictor variables. <h4>Results</h4> A total of 1162 university students participated in this study. The results indicated that with the increase of students’ perceived e-learning stress score, the average e-learning readiness score was significantly decreased (β = -0.43, 95% CI: -0.66, -0.20). The students did not seem ready, and none of the e-learning readiness scale items reached the highest mean score (5.0). The age, gender, divisional residence, preference of students and their parents, devices used, and having any eye problems were significantly associated with the students’ e-learning readiness. <h4>Conclusion</h4> During the prolonged period of the COVID-19 pandemic, e-learning implication strategies are needed to be assessed systematically with the level of readiness and its’ impacts among students for the continuation of sound e-learning systems. The study findings recommend evaluating the e-learning readiness of university students and the mental health outcomes during the COVID-19 catastrophe in Bangladesh.
format article
author Humayun Kabir
Sarker Mohammad Nasrullah
Md. Kamrul Hasan
Shakil Ahmed
Mohammad Delwer Hossain Hawlader
Dipak Kumar Mitra
author_facet Humayun Kabir
Sarker Mohammad Nasrullah
Md. Kamrul Hasan
Shakil Ahmed
Mohammad Delwer Hossain Hawlader
Dipak Kumar Mitra
author_sort Humayun Kabir
title Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh
title_short Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh
title_full Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh
title_fullStr Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh
title_full_unstemmed Perceived e-learning stress as an independent predictor of e-learning readiness: Results from a nationwide survey in Bangladesh
title_sort perceived e-learning stress as an independent predictor of e-learning readiness: results from a nationwide survey in bangladesh
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/5ccd3930b05b4985b914237c15909ca1
work_keys_str_mv AT humayunkabir perceivedelearningstressasanindependentpredictorofelearningreadinessresultsfromanationwidesurveyinbangladesh
AT sarkermohammadnasrullah perceivedelearningstressasanindependentpredictorofelearningreadinessresultsfromanationwidesurveyinbangladesh
AT mdkamrulhasan perceivedelearningstressasanindependentpredictorofelearningreadinessresultsfromanationwidesurveyinbangladesh
AT shakilahmed perceivedelearningstressasanindependentpredictorofelearningreadinessresultsfromanationwidesurveyinbangladesh
AT mohammaddelwerhossainhawlader perceivedelearningstressasanindependentpredictorofelearningreadinessresultsfromanationwidesurveyinbangladesh
AT dipakkumarmitra perceivedelearningstressasanindependentpredictorofelearningreadinessresultsfromanationwidesurveyinbangladesh
_version_ 1718445090578366464