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dc.contributor.authorOducado, Ryan Michael F.
dc.contributor.authorDequilla, Ma. Asuncion Christine V.
dc.contributor.authorVillaruz, Joselito F.
dc.coverage.spatialPilipinasen
dc.date.accessioned2025-03-17T04:50:59Z
dc.date.available2025-03-17T04:50:59Z
dc.date.issued2022-04-05
dc.identifier.citationOducado, R. M. F., Dequila, M. A. C. V., & Villaruz, J. F. (2022). Factors predicting videoconferencing fatigue among higher education faculty. Education and Information Technologies, 27(7), 9713-9724.en
dc.identifier.issn1360-2357
dc.identifier.urihttps://hdl.handle.net/20.500.14353/766
dc.descriptionFull-texten
dc.description.abstractThe 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.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urihttps://doi.org/10.1007/s10639-022-11017-4en
dc.subjectCross-sectional studiesen
dc.subjectFacultyen
dc.subjectFatigueen
dc.subjectPhilippinesen
dc.subjectVideoconferencingen
dc.subjectOnline teachingen
dc.subjectCOVID-19 pandemicen
dc.subjectHigher education facultyen
dc.subjectEmotional stabilityen
dc.subject.lcshVideoconferencingen
dc.subject.lcshFatigueen
dc.subject.lcshEducation, Higheren
dc.subject.lcshCollege teachersen
dc.subject.lcshDistance educationen
dc.subject.lcshMental fatigueen
dc.subject.lcshAnxietyen
dc.subject.lcshCOVID-19 Pandemic (2020-)en
dc.subject.meshVideoconferencingen
dc.subject.meshFatigueen
dc.subject.meshMental Fatigueen
dc.subject.meshAnxietyen
dc.subject.meshOccupational Stressen
dc.subject.meshTeachingen
dc.subject.meshCOVID-19en
dc.subject.meshWorkloaden
dc.titleFactors predicting videoconferencing fatigue among higher education facultyen
dc.typeArticleen
dcterms.accessRightsOpen accessen
dc.citation.journaltitleEducation and Information Technologiesen
dc.citation.volume27en
dc.citation.issue7en
dc.citation.firstpage9713en
dc.citation.lastpage9724en
dc.identifier.essn1573-7608
local.isIndexedByISIen
local.isIndexedByScopusen
dc.subject.sdgSDG 3 - Good health and well-beingen
dc.subject.sdgSDG 4 - Quality educationen


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