Factors predicting videoconferencing fatigue among higher education faculty
dc.contributor.author | Oducado, Ryan Michael F. | |
dc.contributor.author | Dequilla, Ma. Asuncion Christine V. | |
dc.contributor.author | Villaruz, Joselito F. | |
dc.coverage.spatial | Pilipinas | en |
dc.date.accessioned | 2025-03-17T04:50:59Z | |
dc.date.available | 2025-03-17T04:50:59Z | |
dc.date.issued | 2022-04-05 | |
dc.identifier.citation | Oducado, 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.issn | 1360-2357 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14353/766 | |
dc.description | Full-text | en |
dc.description.abstract | 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. | en |
dc.language.iso | en | en |
dc.publisher | Springer | en |
dc.relation.uri | https://doi.org/10.1007/s10639-022-11017-4 | en |
dc.subject | Cross-sectional studies | en |
dc.subject | Faculty | en |
dc.subject | Fatigue | en |
dc.subject | Philippines | en |
dc.subject | Videoconferencing | en |
dc.subject | Online teaching | en |
dc.subject | COVID-19 pandemic | en |
dc.subject | Higher education faculty | en |
dc.subject | Emotional stability | en |
dc.subject.lcsh | Videoconferencing | en |
dc.subject.lcsh | Fatigue | en |
dc.subject.lcsh | Education, Higher | en |
dc.subject.lcsh | College teachers | en |
dc.subject.lcsh | Distance education | en |
dc.subject.lcsh | Mental fatigue | en |
dc.subject.lcsh | Anxiety | en |
dc.subject.lcsh | COVID-19 Pandemic (2020-) | en |
dc.subject.mesh | Videoconferencing | en |
dc.subject.mesh | Fatigue | en |
dc.subject.mesh | Mental Fatigue | en |
dc.subject.mesh | Anxiety | en |
dc.subject.mesh | Occupational Stress | en |
dc.subject.mesh | Teaching | en |
dc.subject.mesh | COVID-19 | en |
dc.subject.mesh | Workload | en |
dc.title | Factors predicting videoconferencing fatigue among higher education faculty | en |
dc.type | Article | en |
dcterms.accessRights | Open access | en |
dc.citation.journaltitle | Education and Information Technologies | en |
dc.citation.volume | 27 | en |
dc.citation.issue | 7 | en |
dc.citation.firstpage | 9713 | en |
dc.citation.lastpage | 9724 | en |
dc.identifier.essn | 1573-7608 | |
local.isIndexedBy | ISI | en |
local.isIndexedBy | Scopus | en |
dc.subject.sdg | SDG 3 - Good health and well-being | en |
dc.subject.sdg | SDG 4 - Quality education | en |
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