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Sep 13, 2022
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Aug 29, 2023
Published
Aug 31, 2023
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Abstract

One of the most pressing emergent educational issues addressed by the international research literature concerns the effects that excessive or problematic smartphone use can have on students’ academic performance. An exploratory study was thus carried out with 46 students enrolled in a five-year degree program at the University of Padova (Italy) who were asked to provide their perceptions of their level of smartphone dependence and academic performance. Findings seem to indicate a significant correlation between high levels of smartphone addiction, difficulty concentrating while studying, and a frequent tendency to procrastinate on completing assigned tasks. Responses regarding smartphone distraction during in-person classes were particularly interesting: over 75% of respondents reported using their smartphones frequently in class. In order of importance, their reasons for doing so were to view and answer social media messages (61%), “boredom” due to the teaching strategies employed by some teachers in presenting lessons (41%), and the need to take a break from concentrating in class (35%). Lastly, smartphone use and its effects on academic performance involve three principal components: usage time, distraction in class, and frequency of smartphone checks. Smartphone usage time seems to have a direct negative effect on exam grades. Distraction in class is most significant for respondents who use their smartphones for messaging, while the frequency with which respondents check their smartphones is inversely proportional to their age...

Keywords

Smartphone Addiction Higher Education Innovative Teaching Educational Technology Mobile Phones Information Literacy

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How to Cite
Agostini, D., & Petrucco, C. (2023). Problematic Smartphone Use and University Students’ Academic Performance. Journal of E-Learning and Knowledge Society, 19(2), 30-38. https://doi.org/10.20368/1971-8829/1135747

References

  1. American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). American Psychiatric Pub.
  2. Amez, S., & Baert, S. (2020). Smartphone use and academic performance: A literature review. International Journal of Educational Research, 103, 101618.
  3. Atas, A. H., & Çelik, B. (2019). Smartphone use of university students: Patterns, purposes, and situations. Malaysian Online Journal of Educational Technology, 7(2), 59-70.
  4. Bolkan, S., & Griffin, D. J. (2017). Students’ use of cell phones in class for off-task behaviors: The indirect impact of instructors’ teaching behaviors through boredom and students’ attitudes. Communication Education, 66(3), 313-329.
  5. Bragazzi, N. L., Re, T. S., & Zerbetto, R. (2019). The relationship between nomophobia and maladaptive coping styles in a sample of Italian young adults: Insights and implications from a cross-sectional study. JMIR mental health, 6(4), e13154.
  6. Carrier, L. M., Rosen, L. D., Cheever, N. A., & Lim, A. F. (2015). Causes, effects, and practicalities of everyday multitasking. Developmental Review, 35, 64-78.
  7. Cho, H. Y., Kim, D. J., & Park, J. W. (2017). Stress and adult smartphone addiction: Mediation by self‐control, neuroticism, and extraversion. Stress and Health, 33(5), 624-630.
  8. De Pasquale, C., Sciacca, F., & Hichy, Z. (2017). Italian validation of smartphone addiction scale short version for adolescents and young adults (SAS-SV). Psychology, 8(10), 1513-1518.
  9. De-Sola Gutiérrez, J., Rodríguez de Fonseca, F., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in Psychiatry, 7, 175.
  10. Demirci, K., Akgönül, M., & Akpinar, A. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of Behavioral Addictions, 4(2), 85-92.
  11. Dontre, A.J. (2021). The influence of technology on academic distraction: a review. Human Behavior and Emerging Technologies, 3, 379–90. hbe2.229. doi: 10.1002/hbe2.229
  12. Elhai, J.D., McKay, D., Yang, H., Minaya, C., Montag. C., Asmundson. G.J.G. (2020). Health anxiety related to problematic smartphone use and gaming disorder severity during COVID−19: fear of missing out as a mediator. Human Behavior and Emerging Technologies 3(1), 137-146. doi: 10.1002/hbe2.227
  13. Flanigan, A. E., & Titsworth, S. (2020). The impact of digital distraction on lecture note taking and student learning. Instructional Science, 48(5), 495-524.
  14. Geng, Y., Gu, J., Wang, J., & Zhang, R. (2021). Smartphone addiction and depression, anxiety: The role of bedtime procrastination and self-control. Journal of Affective Disorders, 293, 415-421.
  15. Green, M. (2019). Smartphones, distraction narratives, and flexible pedagogies: Students’ mobile technology practices in networked writing classrooms. Computers and Composition, 52, 91-106.
  16. Gámez-Guadix, M., & Calvete, E. (2016). Assessing the relationship between mindful awareness and problematic Internet use among adolescents. Mindfulness, 7, 1281–1288. doi: 10.1007/s12671-016-0566-0
  17. Gui, M., & Gerosa, T. (2021). Smartphone pervasiveness in youth daily life as a new form of digital inequality. In Handbook of Digital Inequality. Edward Elgar Publishing.
  18. Han, S., & Yi, Y. J. (2019). How does the smartphone usage of college students affect academic performance? Journal of Computer Assisted Learning, 35(1), 13-22
  19. Huang, Q., Li, Y., Huang, S., Qi, J., Shao, T., Chen, X., ... & Chen, H. (2020). Smartphone use and sleep quality in Chinese college students: a preliminary study. Frontiers in Psychiatry, 11, 352.
  20. Jin Jeong, Y., Suh, B., & Gweon, G. (2020). Is Smartphone addiction different from Internet addiction? Comparison of addiction-risk factors among adolescents. Behaviour & Information Technology, 39(5), 578-593.
  21. Jones-Jang, S. M., Heo, Y. J., McKeever, R., Kim, J. H., Moscowitz, L., & Moscowitz, D. (2020). Good news! Communication findings may be underestimated: Comparing effect sizes with self-reported and logged smartphone use data. Journal of Computer-Mediated Communication, 25(5), 346-363.
  22. Kates, A. W., Wu, H., & Coryn, C. L. (2018). The effects of mobile phone use on academic performance: A meta-analysis. Computers & Education, 127, 107-112.
  23. Kuss, D. J., Kanjo, E., Crook-Rumsey, M., Kibowski, F., Wang, G. Y., & Sumich, A. (2018). Problematic mobile phone use and addiction across generations: The roles of psychopathological symptoms and smartphone use. Journal of Technology in Behavioral Science.
  24. Kwon, M., Kim, D. J., Cho, H., & Yang, S. (2013). The Smartphone addiction scale: Development and validation of a short version for adolescents. PloS One, 8(12), e56936. https://doi.org/10.1371/journal.pone.0056936.
  25. Lan, Yukun, Jiao-Er Ding, Wei Li, Jiang Li, Yifei Zhang, Mingbo Liu, and Hua Fu. (2018). A pilot study of a group mindfulness-based cognitive-behavioral intervention for smartphone addiction among university students. Journal of Behavioral Addictions 7, no. 4 (2018): 1171-1176.
  26. Lanaj, K., Johnson, R. E., & Barnes, C. M. (2014). Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organizational Behavior and Human Decision Processes, 124(1), 11-23.
  27. Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31, 373-383.
  28. Li, J., Li, D., Jia, J., Li, X., Wang, Y., & Li, Y. (2018). Family functioning and internet addiction among adolescent males and females: A moderated mediation analysis. Children and Youth Services Review, 91, 289-297.
  29. Li, L., Gao, H., & Xu, Y. (2020). The mediating and buffering effect of academic self-efficacy on the relationship between smartphone addiction and academic procrastination. Computers & Education, 159, 104001.
  30. Lin, Y., Liu, Y., Fan, W., Tuunainen, V. K., & Deng, S. (2021). Revisiting the relationship between smartphone use and academic performance: A large-scale study. Computers in Human Behavior, 122, 106835.
  31. Lukas, C. A., & Berking, M. (2018). Reducing procrastination using a smartphone-based treatment program: A randomized controlled pilot study. Internet Interventions, 12, 83-90.
  32. Mac Cárthaigh, S., Griffin, C., & Perry, J. (2020). The relationship between sleep and problematic smartphone use among adolescents: A systematic review. Developmental Review, 55, 100897.
  33. May, K. E., & Elder, A. D. (2018). Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance. International Journal of Educational Technology in Higher Education, 15, 1–14.
  34. Marty-Dugas, J., Ralph, B. C., Oakman, J. M., & Smilek, D. (2018). The relation between smartphone use and everyday inattention. Psychology of Consciousness: Theory, Research, and Practice, 5(1), 46.
  35. Moreno-Guerrero, A. J., Aznar-Díaz, I., Cáceres-Reche, P., & Rodríguez-García, A. M. (2020). Do age, gender and poor diet influence the higher prevalence of nomophobia among young people?. International Journal of Environmental Research and Public Health, 17(10), 3697.
  36. Ng, S. F., Hassan, N. S. I. C., Nor, N. H. M., & Malek, N. A. A. (2017). The Relationship between Smartphone Use and Academic Performance: A Case of Students in a Malaysian Tertiary Institution. Malaysian Online Journal of Educational Technology, 5(4), 58-70.
  37. Rozgonjuk, D., Kattago, M., & Täht, K. (2018). Social media use in lectures mediates the relationship between procrastination and problematic smartphone use. Computers in Human Behavior, 89, 191-198.
  38. Servidio, R., Bartolo, M. G., Palermiti, A. L., & Costabile, A. (2021). Fear of COVID-19, depression, anxiety, and their association with Internet addiction disorder in a sample of Italian students. Journal of Affective Disorders Reports, 4, 100097.
  39. Schmuck, D. (2020). Does digital detox work? Exploring the role of digital detox applications for problematic smartphone use and well-being of young adults using multigroup analysis. Cyberpsychology, Behavior, and Social Networking, 23(8), 526-532.
  40. Stothart, C., Mitchum, A., & Yehnert, C. (2015). The attentional cost of receiving a cell phone notification. Journal of Experimental Psychology: Human Perception and Performance, 41(4),893–897.
  41. Throuvala, M. A., Pontes, H. M., Tsaousis, I., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2021). Exploring the dimensions of smartphone distraction: development, validation, measurement invariance, and latent mean differences of the Smartphone Distraction Scale (SDS). Frontiers in Psychiatry, 12, 199.
  42. Wammes, J. D., Seli, P., & Smilek, D. (2018). Mind-wandering in educational settings. In The Oxford Handbook of Spontaneous Thought: Mind Wandering, Creativity, and Dreaming (pp. 259-271). New York: Oxford University Press.
  43. Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2017). Brain drain: The mere presence of one’s own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 2(2), 140–154.
  44. Wilcockson, T. D., Ellis, D. A., & Shaw, H. (2018). Determining typical smartphone usage: What data do we need? Cyberpsychology, Behavior, and Social Networking, 21(6), 395-398.
  45. Yang, J., Fu, X., Liao, X., & Li, Y. (2020). Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis. Psychiatry Research, 284, 112686.
  46. Yang, Z., Asbury, K., & Griffiths, M. D. (2019). An exploration of problematic smartphone use among Chinese university students: Associations with academic anxiety, academic procrastination, self-regulation and subjective wellbeing. International Journal of Mental Health and Addiction, 17(3), 596-614.
  47. Yildirim, C., & Correia, A. P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130-137.