Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines

Driven by the need for remote learning, the COVID-19 pandemic led to the rise of use of videoconferencing tools. Scholars began noticing an emerging phenomenon of feeling tired and exhausted during virtual meetings. This study determined the predictors of videoconference or Zoom fatigue among nursin...

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Autores principales:	Ryan Michael F. Oducado, Maria Teresa R. Fajardo, Geneveve M. Parreño-Lachica, Jestoni D. Maniago, Paulo Martin B. Villanueva, Ma. Asuncion Christine V. Dequilla, Hilda C. Montaño, Emily E. Robite
Formato:	article
Lenguaje:	EN
Publicado:	CAPORCI 2021
Materias:	Political science (General) JA1-92 Political institutions and public administration - Asia (Asian studies only) JQ1-6651
Acceso en línea:	https://doaj.org/article/8e4a709e7a6348d18728d24df5a1ba0c
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spelling	oai:doaj.org-article:8e4a709e7a6348d18728d24df5a1ba0c2021-11-30T03:27:08ZPredictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines10.15206/ajpor.2021.9.4.3102288-6168https://doaj.org/article/8e4a709e7a6348d18728d24df5a1ba0c2021-11-01T00:00:00Zhttps://ajpor.scholasticahq.com/article/29933-predictors-of-videoconference-fatigue-results-from-undergraduate-nursing-students-in-the-philippines.pdfhttps://doaj.org/toc/2288-6168Driven by the need for remote learning, the COVID-19 pandemic led to the rise of use of videoconferencing tools. Scholars began noticing an emerging phenomenon of feeling tired and exhausted during virtual meetings. This study determined the predictors of videoconference or Zoom fatigue among nursing students in a large, private, non-sectarian university in the Philippines. This cross-sectional online survey involves 597 nursing students in the Philippines using the Zoom Exhaustion and Fatigue Scale. Multiple linear regression analysis was used to examine predictors of videoconference fatigue. Results indicated that nursing students experienced high levels of videoconference fatigue. Gender, self-reported academic performance, Internet connection stability, attitude toward videoconferencing, frequency, and duration of videoconferences predicted videoconference fatigue. The regression model explained 25.3% of the variances of the videoconference fatigue. Videoconference fatigue is relatively prevalent and may be taking its toll on nursing students. Developing strategic interventions that can protect or mitigate the impact of fatigue during virtual meetings is needed.Ryan Michael F. OducadoMaria Teresa R. FajardoGeneveve M. Parreño-LachicaJestoni D. ManiagoPaulo Martin B. VillanuevaMa. Asuncion Christine V. DequillaHilda C. MontañoEmily E. RobiteCAPORCIarticlePolitical science (General)JA1-92Political institutions and public administration - Asia (Asian studies only)JQ1-6651ENAsian Journal for Public Opinion Research, Vol 9, Iss 4 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Political science (General) JA1-92 Political institutions and public administration - Asia (Asian studies only) JQ1-6651
spellingShingle	Political science (General) JA1-92 Political institutions and public administration - Asia (Asian studies only) JQ1-6651 Ryan Michael F. Oducado Maria Teresa R. Fajardo Geneveve M. Parreño-Lachica Jestoni D. Maniago Paulo Martin B. Villanueva Ma. Asuncion Christine V. Dequilla Hilda C. Montaño Emily E. Robite Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
description	Driven by the need for remote learning, the COVID-19 pandemic led to the rise of use of videoconferencing tools. Scholars began noticing an emerging phenomenon of feeling tired and exhausted during virtual meetings. This study determined the predictors of videoconference or Zoom fatigue among nursing students in a large, private, non-sectarian university in the Philippines. This cross-sectional online survey involves 597 nursing students in the Philippines using the Zoom Exhaustion and Fatigue Scale. Multiple linear regression analysis was used to examine predictors of videoconference fatigue. Results indicated that nursing students experienced high levels of videoconference fatigue. Gender, self-reported academic performance, Internet connection stability, attitude toward videoconferencing, frequency, and duration of videoconferences predicted videoconference fatigue. The regression model explained 25.3% of the variances of the videoconference fatigue. Videoconference fatigue is relatively prevalent and may be taking its toll on nursing students. Developing strategic interventions that can protect or mitigate the impact of fatigue during virtual meetings is needed.
format	article
author	Ryan Michael F. Oducado Maria Teresa R. Fajardo Geneveve M. Parreño-Lachica Jestoni D. Maniago Paulo Martin B. Villanueva Ma. Asuncion Christine V. Dequilla Hilda C. Montaño Emily E. Robite
author_facet	Ryan Michael F. Oducado Maria Teresa R. Fajardo Geneveve M. Parreño-Lachica Jestoni D. Maniago Paulo Martin B. Villanueva Ma. Asuncion Christine V. Dequilla Hilda C. Montaño Emily E. Robite
author_sort	Ryan Michael F. Oducado
title	Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_short	Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_full	Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_fullStr	Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_full_unstemmed	Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines
title_sort	predictors of videoconference fatigue: results from undergraduate nursing students in the philippines
publisher	CAPORCI
publishDate	2021
url	https://doaj.org/article/8e4a709e7a6348d18728d24df5a1ba0c
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Predictors of Videoconference Fatigue: Results From Undergraduate Nursing Students in the Philippines

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