Relationship Between Social Media Fatigue, Attention Control and Academic Achievement among University Students
DOI:
https://doi.org/10.62843/jssr.v6i3.763Keywords:
Social Media Fatigue, Attention Control, Academic Achievement, University StudentsAbstract
The present study explored the correlation between social media fatigue, attention control and academic performance among university students. A quantitative, descriptive correlational research design was used and data was gathered from 344 undergraduate students (172 males and 172 females) from the Faculty of Information Technology and Numerical Sciences of University of Haripur by two standardized instruments, namely adapted Social Media Fatigue Scale and the Attention Control Scale. Cumulative grade point average (CGPA) was self reported and verified by the departmental records. Descriptive results showed that means of students' responses in social media fatigue were at moderate level ranging from 2.9 to 3.1, while for attention control, the means of the students answers were always below 2.7. A positive correlation was found between social media fatigue and attention related difficulties (r = .574, p < .001) and a negative correlation was found between social media fatigue and CGPA (r = −.448, p < .001) and between attention control difficulties and CGPA (r = −.725, p < .001) with Pearson correlation analysis. Female students CGPA was found to be higher than that of male students (t = 6.730, p < .001), but there was no significant difference between the two groups with respect to social media fatigue or attention control. It is a noteworthy finding that the relationship between attention related difficulties to academic achievement is far stronger than the relationship between fatigue achievement, as this may be a more proximal pathway that links social media fatigue with academic achievement. The study results call attention to the necessity of digital health promotion and structured attention training in universities to safeguard students academic results.
References
Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (2018). Ego depletion: Is the active self a limited resource? In K. D. Vohs & R. F. Baumeister (Eds.), Self-regulation and self-control (pp. 16–44). Routledge.
Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148–155. https://doi.org/10.1016/j.chb.2014.11.048
Cao, X., & Sun, J. (2018). Exploring the effect of overload on the discontinuous intention of social media users: An SOR perspective. Computers in Human Behavior, 81, 10–18. https://doi.org/10.1016/j.chb.2017.11.035
Derryberry, D., & Reed, M. A. (2002). Anxiety-related attentional biases and their regulation by attentional control. Journal of Abnormal Psychology, 111(2), 225–236. https://doi.org/10.1037/0021-843X.111.2.225
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141–152. https://doi.org/10.1016/j.ijinfomgt.2018.01.012
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64(1), 135–168. https://doi.org/10.1146/annurev-psych-113011-143750
Engle, R. W. (2002). Working memory capacity as executive attention. Current Directions in Psychological Science, 11(1), 19–23. https://doi.org/10.1111/1467-8721.00160
Eppler, M. J., & Mengis, J. (2002). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines (MCM Research Paper No. 35). University of Lugano.
Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7(2), 336–353. https://doi.org/10.1037/1528-3542.7.2.336
Faber, L. G., Maurits, N. M., & Lorist, M. M. (2012). Mental fatigue affects visual selective attention. PLoS ONE, 7(10), e48073. https://doi.org/10.1371/journal.pone.0048073
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524. https://doi.org/10.1037/0003-066X.44.3.513
Junco, R. (2012). Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performance. Computers in Human Behavior, 28(1), 187–198. https://doi.org/10.1016/j.chb.2011.08.026
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
Kirschner, P. A., & Karpinski, A. C. (2010). Facebook® and academic performance. Computers in Human Behavior, 26(6), 1237–1245. https://doi.org/10.1016/j.chb.2010.03.024
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_07
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
Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2016). The association between social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41. https://doi.org/10.1016/j.ypmed.2016.01.001
Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017). Empirical investigation of Facebook discontinuance usage intentions based on SOR paradigm. Computers in Human Behavior, 70, 544–555. https://doi.org/10.1016/j.chb.2017.01.020
Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015). The effects of technostress and switching stress on discontinued use of social networking services: A study of Facebook use. Information Systems Journal, 25(3), 275–308. https://doi.org/10.1111/isj.12068
Malik, A., Dhir, A., Kaur, P., & Johri, A. (2021). Correlates of social media fatigue and academic performance decrement: A large cross-sectional study. Information Technology & People, 34(2), 557–580. https://doi.org/10.1108/ITP-06-2019-0283
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734
Ophir, E., Nass, C., & Wagner, A. D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences, 106(37), 15583–15587. https://doi.org/10.1073/pnas.0903620106
Posner, M. I., & Petersen, S. E. (1989). The attention system of the human brain. Annual Review of Neuroscience, 13, 25–42.
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/10.1016/j.chb.2013.02.014
Qin, C., Li, Y., Wang, T., Zhao, J., Tong, L., Yang, J., & Liu, Y. (2024). Too much social media? Unveiling the effects of determinants in social media fatigue. Frontiers in Psychology, 15, Article 1277846. https://doi.org/10.3389/fpsyg.2024.1277846
Rosen, L. D., Carrier, L. M., & Cheever, N. A. (2013). Facebook and texting made me do it: Media-induced task-switching while studying. Computers in Human Behavior, 29(3), 948–958. https://doi.org/10.1016/j.chb.2012.12.001
Steinmayr, R., Meißner, A., Weidinger, A. F., & Wirthwein, L. (2014). Academic achievement. In T. Teo (Ed.), Encyclopedia of critical psychology (pp. 27–33). Springer. https://doi.org/10.1007/978-1-4614-5583-7_16
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
Tangney, J. P., Boone, A. L., & Baumeister, R. F. (2018). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. In K. D. Vohs & R. F. Baumeister (Eds.), Self-regulation and self-control (pp. 173–212). Routledge.
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328. https://doi.org/10.2753/MIS0742-1222240109
Wilmer, H. H., Sherman, L. E., & Chein, J. M. (2017). Smartphones and cognition: A review of research exploring the links between mobile technology habits and cognitive functioning. Frontiers in Psychology, 8, Article 605. https://doi.org/10.3389/fpsyg.2017.00605
Xiao, L., & Mou, J. (2019). Social media fatigue: Technological antecedents and the moderating roles of personality traits: The case of WeChat. Computers in Human Behavior, 101, 297–310. https://doi.org/10.1016/j.chb.2019.08.001
Zhu, X., Zheng, T., Ding, L., Zhang, X., Li, Z., & Jiang, H. (2023). Exploring associations between social media addiction, social media fatigue, fear of missing out and sleep quality among university students: A cross-sectional study. PLoS ONE, 18(10), e0292429. https://doi.org/10.1371/journal.pone.0292429
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