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Factors predicting videoconferencing fatigue among higher education faculty

The online remote learning revolution in the era of the pandemic has resulted in the massive explosion of videoconferencing technologies. The emergence of a new phenomenon of exhaustion and fatigue experienced during virtual meetings is evident. This study examined the predictors of videoconferencin...

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Autores principales: Oducado, Ryan Michael F., Dequilla, Ma. Asuncion Christine V., Villaruz, Joselito F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979787/
https://www.ncbi.nlm.nih.gov/pubmed/35399786
http://dx.doi.org/10.1007/s10639-022-11017-4
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author Oducado, Ryan Michael F.
Dequilla, Ma. Asuncion Christine V.
Villaruz, Joselito F.
author_facet Oducado, Ryan Michael F.
Dequilla, Ma. Asuncion Christine V.
Villaruz, Joselito F.
author_sort Oducado, Ryan Michael F.
collection PubMed
description The online remote learning revolution in the era of the pandemic has resulted in the massive explosion of videoconferencing technologies. The emergence of a new phenomenon of exhaustion and fatigue experienced during virtual meetings is evident. This study examined the predictors of videoconferencing fatigue among higher education faculty in the Philippines. A total of 322 faculty participated in this cross-sectional study. The online survey was administered using the Zoom Exhaustion and Fatigue scale as the primary data collection tool. Significant predictors of videoconferencing fatigue were identified using the multiple linear regression analysis. The results indicated that the videoconference fatigue composite score of the faculty was 3.35 out of 5 suggesting a moderate level of fatigue. Significant predictors of videoconferencing fatigue among higher education faculty include attitude, sense of being physically trapped, mirror anxiety, emotional stability domain of personality, interval between videoconferences, and duration of videoconferences. For better videoconferencing experience among faculty, mechanisms to ease fatigue during virtual meetings may be proposed based on the study result.
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spelling pubmed-89797872022-04-05 Factors predicting videoconferencing fatigue among higher education faculty Oducado, Ryan Michael F. Dequilla, Ma. Asuncion Christine V. Villaruz, Joselito F. Educ Inf Technol (Dordr) Article The online remote learning revolution in the era of the pandemic has resulted in the massive explosion of videoconferencing technologies. The emergence of a new phenomenon of exhaustion and fatigue experienced during virtual meetings is evident. This study examined the predictors of videoconferencing fatigue among higher education faculty in the Philippines. A total of 322 faculty participated in this cross-sectional study. The online survey was administered using the Zoom Exhaustion and Fatigue scale as the primary data collection tool. Significant predictors of videoconferencing fatigue were identified using the multiple linear regression analysis. The results indicated that the videoconference fatigue composite score of the faculty was 3.35 out of 5 suggesting a moderate level of fatigue. Significant predictors of videoconferencing fatigue among higher education faculty include attitude, sense of being physically trapped, mirror anxiety, emotional stability domain of personality, interval between videoconferences, and duration of videoconferences. For better videoconferencing experience among faculty, mechanisms to ease fatigue during virtual meetings may be proposed based on the study result. Springer US 2022-04-05 2022 /pmc/articles/PMC8979787/ /pubmed/35399786 http://dx.doi.org/10.1007/s10639-022-11017-4 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Oducado, Ryan Michael F.
Dequilla, Ma. Asuncion Christine V.
Villaruz, Joselito F.
Factors predicting videoconferencing fatigue among higher education faculty
title Factors predicting videoconferencing fatigue among higher education faculty
title_full Factors predicting videoconferencing fatigue among higher education faculty
title_fullStr Factors predicting videoconferencing fatigue among higher education faculty
title_full_unstemmed Factors predicting videoconferencing fatigue among higher education faculty
title_short Factors predicting videoconferencing fatigue among higher education faculty
title_sort factors predicting videoconferencing fatigue among higher education faculty
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979787/
https://www.ncbi.nlm.nih.gov/pubmed/35399786
http://dx.doi.org/10.1007/s10639-022-11017-4
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