Factors influencing online learning fatigue among blended learners in higher education

Year 2023, Volume: 6 Issue: 1, 16 - 32, 31.01.2023

Ufuk Tuğtekin

https://doi.org/10.31681/jetol.1161386

Cited By: 1

Abstract

This cross-sectional study aims to investigate the factors influencing the levels of online learning fatigue among blended learners in higher education amid the post-pandemic era. In this context, a total of 347 college students voluntarily completed an online questionnaire, including the Online Learning Fatigue (OLF) Scale, to determine the fatigue levels and to examine the three-level construct of the OLF. The gender preference in the seven OLF subscales supported the literature that women are more prone to be fatigued. Additionally, the findings supported the structural relationships between the seven factors of the three-level construct of the OLF and produced results that support the theoretical framework for the model to scrutinize online learning fatigue levels in higher education. The regression analysis results supported that information equivocality was a significant predictor of information overload, and that the system complexity and system pace of change were significant predictors of system feature overload. Finally, it supported the three-level construct of the OLF, supporting the notion that system feature overload, communication overload, and information overload are significant predictors of LMSs fatigue. Considering the limitations, the factors that should be addressed to form well-structured online learning settings are scrutinized, and theoretical and practical implications are discussed.

Keywords

Online Learning Fatigue, Risk Factors, Blended Learners, Higher Education

Supporting Institution

Not applicable.

Project Number

Not applicable.

Thanks

The author wish to thank Dr Esra BARUT TUGTEKIN (Distance Education Application and Research Center - INUZEM, Inonu University, TÜRKİYE) for her help throughout this cross-sectional study's data collection procedure. Her significant contributions, useful discussions and valuable insights are greatly appreciated.

References

• Alford, B. A., & Beck, A. T. (1997). The integrative power of cognitive therapy. Guilford Press.
• Bailenson, J. N. (2021). Nonverbal overload: A theoretical argument for the causes of Zoom fatigue. Technology, Mind, and Behavior, 2(1), 1-6. https://doi.org/10.1037/tmb0000030
• Barber, N., & Sher, J. (2022). Exploring the online learning experience of first-year speech-language pathology students in a Johannesburg-based university. South African Journal of Communication Disorders, 69(2), 1-9. https://doi.org/10.4102/sajcd.v69i2.914
• Barut Tuğtekin, E. (2021). Development of the learning management systems evaluation scale based on transactional distance theory. Journal of Educational Technology and Online Learning, 4(3), 503-515. https://doi.org/10.31681/jetol.943335
• Barut Tugtekin, E. (2022). Investigation of the relationship between digital hoarding, information technologies self-efficacy, and anxiety. European Journal of Education Studies, 9(1), 157-177. http://dx.doi.org/10.46827/ejes.v9i1.4106
• Barut Tugtekin, E., & Koc, M. (2020). Understanding the relationship between new media literacy, communication skills, and democratic tendency: Model development and testing. New Media & Society, 22(10), 1922-1941. https://doi.org/10.1177/1461444819887705
• Batista, J. & Marques, R. P. (2018). Considerations on information and communication overload issue in smart cities. O. Mealha, M. Divitini & M. Rehm (Ed.), In Citizen, territory and technologies: Smart learning contexts and practices (pp. 129–136). Springer.
• Bawden, D., & Robinson, L. (2009). The dark side of information: overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180-191. https://doi.org/10.1177/0165551508095781
• Beidel, D. C., & Turner, S. M. (1986). A critique of the theoretical bases of cognitive behavioral theories and therapy. Clinical psychology review, 6(2), 177-197. https://doi.org/10.1016/0272-7358(86)90011-5
• Bohn, R., & Short, J. E. (2012). Measuring consumer information. International Journal of Communication, 6, 980-1000.
• Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to CoronaVirus pandemic. Asian Journal of Distance Education, 15(1), 1-6. https://doi.org/10.5281/zenodo.3778083
• Butler, D. L., Mattingley, J. B., Cunnington, R., & Suddendorf, T. (2012). Mirror, mirror on the wall, how does my brain recognize my image at all?. PLoS One, 7(2), e31452. https://doi.org/10.1371/journal.pone.0031452
• Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2018). Bilimsel araştırma yöntemleri (24. baskı). Pegem Akademi.
• Caglar, E., Bilgili, N., Karaca, A., & Deliceoglu, G. (2017). Screen time differences among Turkish university students as an indicator of sedentary lifestyle and inactivity. Croatian Journal of Education: Hrvatski časopis za odgoj i obrazovanje, 19(4), 1105-1130. https://doi.org/10.15516/cje.v19i4.2462
• Cavus, N. (2015). Distance learning and learning management systems. Procedia-Social and Behavioral Sciences, 191, 872-877. https://doi.org/10.1016/j.sbspro.2015.04.611
• Chandra, S. R., & Issac, T. G. (2014). Mirror image agnosia. Indian Journal of Psychological Medicine, 36(4), 400-403. https://doi.org/10.4103/0253-7176.140726
• Cho, J., Ramgolam, D. I., Schaefer, K. M., & Sandlin, A. N. (2011). The rate and delay in overload: An investigation of communication overload and channel synchronicity on identification and job satisfaction. Journal of Applied Communication Research, 39(1), 38-54. https://doi.org/10.1080/00909882.2010.536847
• Cohen, J. W. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
• Cohen, M. A., Rogelberg, S. G., Allen, J. A., & Luong, A. (2011). Meeting design characteristics and attendee perceptions of staff/team meeting quality. Group Dynamics: Theory, Research, and Practice, 15(1), 90-104. https://doi.org/10.1037/a0021549
• de Oliveira Kubrusly Sobral, J. B., Lima, D. L. F., Lima Rocha, H. A., de Brito, E. S., Duarte, L. H. G., Bento, L. B. B. B., & Kubrusly, M. (2022). Active methodologies association with online learning fatigue among medical students. BMC Medical Education, 22(1), 1-7. https://doi.org/10.1186/s12909-022-03143-x
• Durak, G., Çankaya, S., & İzmirli, S. (2020). Examining the Turkish universities’ distance education systems during the COVID-19 pandemic. Necatibey Faculty of Education Electronic Journal of Science and Mathematics Education, 14(1), 787-809. https://doi.org/10.17522/balikesirnef.743080
• Elbogen, E. B., Lanier, M., Griffin, S. C., Blakey, S. M., Gluff, J. A., Wagner, H. R., & Tsai, J. (2022). A National Study of Zoom Fatigue and Mental Health During the COVID-19 Pandemic: Implications for Future Remote Work. Cyberpsychology, Behavior, and Social Networking. 25(7), 409-415. https://doi.org/10.1089/cyber.2021.0257
• Ellwart, T., Happ, C., Gurtner, A., & Rack, O. (2015). Managing information overload in virtual teams: Effects of a structured online team adaptation on cognition and performance. European Journal of Work and Organizational Psychology, 24(5), 812-826. https://doi.org/10.1080/1359432X.2014.10008
• Eppler, M. J. (2015). Information quality and information overload: The promises and perils of the information age. L. Cantoni & J. A. Danowski (Ed.), In Communication and technology (pp. 215–232). Walter de Gruyter GmbH.
• Fauville, G., Luo, M., Muller Queiroz, A. C., Bailenson, J. N., & Hancock, J. (2021). Nonverbal mechanisms predict zoom fatigue and explain why women experience higher levels than men. SRRN Electronic Journal. https://dx.doi.org/10.2139/ssrn.3820035
• Fırat, M., & Bozkurt, A. (2020). Variables affecting online learning readiness in an open and distance learning university. Educational Media International, 57(2), 112-127. https://doi.org/10.1080/09523987.2020.1786772
• Fraenkel, J.R., Wallen, N.E., & Hyun, H. H. (2012). How to design and evaluate research in education. McGraw-Hill.
• George, D., & Mallery, P. (2010). SPSS for windows step by step: A simple study guide and reference, 17.0 update, (10th ed.). Boston Pearson Education.
• Guo, Y. F., Liao, M. Q., Cai, W. L., Yu, X. X., Li, S. N., Ke, X. Y., ... & Zeng, F. F. (2021). Physical activity, screen exposure and sleep among students during the pandemic of COVID-19. Scientific Reports, 11(1), 1-11. https://doi.org/10.1038/s41598-021-88071-4
• Haase, R. F., Ferreira, J. A., Fernandes, R. I., Santos, E. J., & Jome, L. M. (2016). Development and validation of a revised measure of individual capacities for tolerating information overload in occupational settings. Journal of Career Assessment, 24(1), 130-144. https://doi.org/10.1177/10690727145656
• Harriger, J. A., & Pfund, G. N. (2022). Looking beyond zoom fatigue: The relationship between video chatting and appearance satisfaction in men and women. International Journal of Eating Disorders. 55, 923-932. https://doi.org/10.1002/eat.23722
• Hisey, F., Zhu, T., & He, Y. (2022). Use of interactive storytelling trailers to engage students in an online learning environment. Active Learning in Higher Education, 14697874221107574. https://doi.org/10.1177/14697874221107574
• Hopstaken, J. F., Van der Linden, D., Bakker, A. B., & Kompier, M. A. (2015). The window of my eyes: Task disengagement and mental fatigue covary with pupil dynamics. Biological Psychology, 110, 100–106. https://doi.org/10.1016/j.biopsycho.2015.06.013
• Islam, A. N., Whelan, E., & Brooks, S. (2020). Does multitasking computer self-efficacy mitigate the impact of social media affordances on overload and fatigue among professionals?. Information Technology & People. 34(5), 1439-1461. https://doi.org/10.1108/ITP-10-2019-0548
• Jenaro, C., Flores, N., Gómez-Vela, M., González-Gil, F., & Caballo, C. (2007). Problematic internet and cell-phone use: Psychological, behavioral, and health correlates. Addiction Research & Theory, 15(3), 309-320. https://doi.org/10.1080/16066350701350247
• Kaplan, S. (1995). The restorative benefits of nature: Toward an integrative framework. Journal of Environmental Psychology, 15(3), 169-182. https://doi.org/10.1016/0272-4944(95)90001-2
• Karasar, N. (2015). Bilimsel araştırma yöntemi: Kavramlar ilkeler teknikler (28. baskı). Nobel Akademi Yayıncılık.
• Koc, M., & Barut, E. (2016). Development and validation of New Media Literacy Scale (NMLS) for university students. Computers in Human Behavior, 63, 834-843. https://doi.org/10.1016/j.chb.2016.06.035
• Koeske, G. F., & Koeske, R. D. (1993). A preliminary test of a stress-strain-outcome model for reconceptualizing the burnout phenomenon. Journal of Social Service Research, 17(3-4), 107-135. https://doi.org/10.1300/J079v17n03_06
• Lang, A. (2000). The limited capacity model of mediated message processing. Journal of Communication, 50(1), 46-70. https://doi.org/10.1111/j.1460-2466.2000.tb02833.x
• Lazarus, R. S. (1966). Psychological stress and the coping process. McGraw-Hill.
• Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing.
• Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51-61. https://doi.org/10.1016/j.chb.2015.08.011
• Mays T.J. (2021) Teaching the Teachers. In: Burgos D., Tlili A., Tabacco A. (Eds.) Radical solutions for education in a crisis context. Lecture notes in educational technology. Springer. https://doi.org/10.1007/978-981-15-7869-4_11
• Nesher Shoshan, H., & Wehrt, W. (2022). Understanding “Zoom fatigue”: A mixed‐method approach. Applied Psychology, 71(3), 827-852. https://doi.org/10.1111/apps.12360
• Ngien, A., & Hogan, B. (2022). The relationship between Zoom use with the camera on and Zoom fatigue: considering self-monitoring and social interaction anxiety. Information, Communication & Society, 1-19. https://doi.org/10.1080/1369118X.2022.2065214
• Oducado, R. M. F., Dequilla, M. A. C. V., Villaruz, J. F., & Parreño-Lachica, G. M. (2021a). Zoom fatigue and mental well-being among school executives. Journal of Loss and Trauma. 27(4), 393-394. https://doi.org/10.1080/15325024.2021.2002617
• Oducado, R. M. F., Dequilla, M., & Villaruz, J. F. (2022). Factors predicting videoconferencing fatigue among higher education faculty. Education and Information Technologies, 1-12. https://doi.org/10.1007/s10639-022-11017-4
• Oducado, R. M., Fajardo, M. T., Parreño-Lachica, G. M., Maniago, J. D., Villanueva, P. M., Dequilla, M. C., Montaño, H. C., & Robite, E. E. (2021b). Is videoconference “zoom” fatigue real among nursing students? Journal of Loss and Trauma, 27, 1–3. https://doi.org/10.1080/15325024.2021.1950987
• Patton, E., & Tuke, P. Key Factors in Mitigating Online Learning Fatigue Among University Students. Journal of Inquiry and Research, 115, 85-102. http://doi.org/10.18956/00008024
• Paulsen, M. F. (2003). Experiences with learning management systems in 113 European institutions. Journal of Educational Technology & Society, 6(4), 134-148.
• Peper, E., Wilson, V., Martin, M., Rosegard, E., & Harvey, R. (2021). Avoid Zoom fatigue, be present and learn. NeuroRegulation, 8(1), 47-47. https://doi.org/10.15540/nr.8.1.47
• Picton, C., & Kahu, E.R. (2021). ‘I knew I had the support from them’: Understanding student support through a student engagement lens. Higher Education Research & Development, 40(5), 1–14. https://doi.org/10.1080/07294360.2021.1968353
• Pikoos, T. D., Buzwell, S., Sharp, G., & Rossell, S. L. (2022). Response to: Additional Thoughts on The Zoom Effect: Exploring the Impact of Video Calling on Appearance Dissatisfaction and Interest in Aesthetic Treatment During the COVID-19 Pandemic. Aesthetic Surgery Journal. 1-2. https://doi.org/10.1093/asj/sjac142
• Ratan, R., Miller, D. B., & Bailenson, J. N. (2022). Facial appearance dissatisfaction explains differences in zoom fatigue. Cyberpsychology, Behavior, and Social Networking, 25(2), 124-129. https://doi.org/10.1089/cyber.2021.0112
• Salehan, M., & Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 29(6), 2632–2639. https://doi.org/10.1016/j.chb.2013.07.003
• Salim, J., Tandy, S., Arnindita, J. N., Wibisono, J. J., Haryanto, M. R., & Wibisono, M. G. (2022). Zoom fatigue and its risk factors in online learning during the COVID-19 pandemic. Medical Journal of Indonesia, 31(1), 13-9. https://doi.org/10.13181/mji.oa.225703
• Shockley, K. M., Gabriel, A. S., Robertson, D., Rosen, C. C., Chawla, N., Ganster, M. L., & Ezerins, M. E. (2021). The fatiguing effects of camera use in virtual meetings: A within-person field experiment. Journal of Applied Psychology, 106(8), 1137–1155. https://doi.org/10.1037/apl0000948
• Shoshan, H. N., & Wehrt, W. (2021). Understanding “zoom fatigue”: A mixed-method approach. Applied Psychology, 71(3), 1–26. https://doi.org/10.1111/apps.12360
• Snyder, M. (1974). Self-monitoring of expressive behavior. Journal of Personality and Social Psychology, 30(4), 526–537. https://doi.org/10.1037/h0037039
• Takao, M., Takahashi, S., & Kitamura, M. (2009). Addictive personality and problematic mobile phone use. CyberPsychology & Behavior, 12(5), 501-507. https://doi.org/10.1089/cpb.2009.0
• Thurston, T.N. (2021). Introduction. In T.N. Thurston, K. Lundstrom, & C. González (Eds.). Resilient pedagogy: Practical teaching strategies to overcome distance, disruption, and distraction (pp. 1–9). Logan, UT: Utah State University.
• Toney, S., Light, J., & Urbaczewski, A. (2021). Fighting zoom fatigue: Keeping the zoombies at bay. Communications of the Association for Information Systems, 48, 40-46. https://doi.org/10.17705/1CAIS.04806
• Tufvesson, A. (2020). Zoom fatigue: Why video calls sap your energy. LSJ: Law Society of NSW Journal, 69, 50-51.
• Tugtekin, U. (2022a). Development and Validation of an Instrument for Online Learning Fatigue in Higher Education. In Handbook of Research on Managing and Designing Online Courses in Synchronous and Asynchronous Environments (pp. 566-586). IGI Global. https://dx.doi.org/10.4018/978-1-7998-8701-0.ch028
• Tuğtekin, U. (2022b). The investigation of information and communication technology overload and social networking service fatigue among college students. Journal of Education for Life, 36(1), 126-145. https://doi.org/10.33308/26674874.2022361350
• Tugtekin, U., Barut Tugtekin, E., Kurt, A. A., & Demir, K. (2020). Associations between fear of missing out, problematic smartphone use, and social networking services fatigue among young adults. Social Media + Society, 6(4), 2056305120963760. https://doi.org/10.1177/2056305120963760
• Tushman, M. L., & Nadler, D. A. (1978). Information processing as an integrating concept in organizational design. Academy of Management Review, 3(3), 613-624. https://doi.org/10.5465/amr.1978.430579
• Wang, S. C. (2022). Does the Familiarity of Online Teachers Matter During Covid Lockdowns?. International Journal of Advanced Research in Education and Society, 4(2), 100-110.
• Xie, J., Gulinna, A., & Rice, M. F. (2021). Instructional designers’ roles in emergency remote teaching during COVID-19. Distance Education, 42(1), 70-87. https://doi.org/10.1080/01587919.2020.1869526
• Zavotsky, K. E., & Chan, G. K. (2016). Exploring the relationship among moral distress, coping, and the practice environment in emergency department nurses. Advanced Emergency Nursing Journal, 38(2), 133–146. https://doi.org/10.1097/tme.0000000000000100
• Zheng, X., & Lee, M. K. (2016). Excessive use of mobile social networking sites: Negative consequences on individuals. Computers in Human Behavior, 65, 65–76. https://doi.org/10.1016/j.chb.2016.08.0
• Zhong, B., Hardin, M., & Sun, T. (2011). Less effortful thinking leads to more social networking? The associations between the use of social network sites and personality traits. Computers in Human Behavior, 27(3), 1265–1271. https://doi.org/10.1016/j.chb.2011.01.008