DOI QR코드

DOI QR Code

Relationships between Smartphone Usage, Sleep Patterns and Nursing Students' Learning Engagement

스마트폰 사용, 수면양상과 간호대학생의 학습몰입도간의 관계

  • Received : 2019.06.04
  • Accepted : 2019.08.14
  • Published : 2019.08.31

Abstract

Purpose: In 2015, South Korea had the highest global smartphone penetration (88%). However, smartphone addiction can seriously disrupt daily life and have a major negative impact on academic achievement. Methods: A structured questionnaire was completed by 250 nursing students for this descriptive study. Results: Students who were older, more satisfied with their major, exercised, and used their smartphone for less than 30 minutes before sleeping had higher learning engagement than those who were younger, less satisfied, did not exercise and used their smartphone for more than three hours. Quality of sleep and smartphone addiction were negatively correlated as was quality of sleep and daytime sleepiness. Interestingly, sleep pattern did not impact learning engagement directly. Conclusion: Smartphone usage influences learning engagement of nursing students rather than their sleeping patterns, which suggests a need to develop self-disciplining strategies for smartphone use to enhance learning engagement.

Keywords

References

  1. Ryu SS, Nam GW, Eom NR. The survey on Internet overdependence in 2016. Final report. Seoul: Korea National Information Society Agency; 2016. NIA V-RER-C-16026
  2. Park MJ, Ryu SY, Park J, Han MA. The effects of smartphone addiction on sleeping time and sleep deprivation among some college students. Journal of Health Informatics and Statistics. 2015; 40(1): 50-61.
  3. Oh KT, Lee JE. The 'Smart Life' revolution and smart phone addiction. Internet and Information Security. 2012; 3(4): 21-43.
  4. Heo JY, Kim SH, Han MA, Ahn YJ. Correlation between smartphone addiction and quality of sleep among university school students, graduate students. The Journal of the Korea Institute of Electronic Communication Sciences. 2015; 10(6): 737-748. https://doi.org/10.13067/JKIECS.2015.10.6.737
  5. Park MJ. The effects of smartphone addiction on sleeping time and sleep deprivation among some college students [master's thesis]. Gwangju: Chosun University; 2014. 37p.
  6. Jang R. How game addiction and smart phone addiction affects teens physical health [master's thesis]. Seoul: Myongji University; 2013.62p.
  7. Kim BY, Suh KH. Mobile phone and internet game addiction, and stress responses of high school students: The mediating effect of sleep deprivation. The Korean Journal of Health Psychology. 2012; 17(2): 385-398. https://doi.org/10.17315/kjhp.2012.17.2.007
  8. Kim MH. The effects of morningness-eveningness, depression, and smart-phone use on sleep quality of college students [master's thesis]. Daegu: Keimyung University; 2014.67p.
  9. Suk HJ, Na YK, Hong HS. Difference in sleep circadian rhythm and sleep quality between normal-weight and obese group. Journal of Korean Biological Nursing Science. 2014; 16(4): 309-317. https://doi.org/10.7586/jkbns.2014.16.4.309
  10. Curcio G, Ferrara, M, De Gennaro L. Sleep loss, learning capacity and academic performance. Sleep Medicine Reviews. 2006; 10(5): 323-337. https://doi.org/10.1016/j.smrv.2005.11.001
  11. Csikszentmihalyi M. Flow: The Psychology of Optimal Experience. New York: Harper & Row; 1990. p 1-9.
  12. Chung JE, Choi SA, Kim KT, Yee J, Kim JH, Seong JW, et al. Smartphone addiction risk and daytime sleepiness in Korean adolescents. Journal of Paediatrics and Child Health. 2018; 54: 800-806. https://doi.org/10.1111/jpc.13901
  13. Lee JH. Analysis of the structural relationships among self-determination motivation to learn, metacognition, self-directed learning ability, learning flow, and school achievement [dissertation]. Cheongju: Chungbuk National University; 2009. 204p.
  14. Seok IB. The structure of learning flow: scale, character, condition, involvement [dissertation]. Daegu: Kyungpook National University; 2007.239p.
  15. Shin KW, Kim DI, Jung YJ. Development of Korean smartphone addiction proneness scale for youth and adults. Final report. Seoul: National Information Society Agency. 2011. 42-53p.
  16. Kim IG, Choi HJ, Kim BJ. Psychometric properties of Korean version of modified leeds sleep evaluation questionnaire (KMLSEQ). Korean Journal of Rehabilitation Nursing. 2014; 17(1): 10-17. https://doi.org/10.7587/kjrehn.2014.10
  17. Kim MY, Cho SH, Lee SM, Jung SJ, Park KS. Elderly sleep pattern and disturbing factors before and after hospitalization. Journal of Korean Academy of Nursing. 1999; 29(1): 61-71. https://doi.org/10.4040/jkan.1999.29.1.61
  18. Johns MW. Sleepiness in different situations measured by the Epworth Sleepiness Scale. Sleep. 1994; 17(8): 703-710. https://doi.org/10.1093/sleep/17.8.703
  19. Cho YW, Lee JH, Son HK, Lee SH, Shin C, Johns MW. The reliability and validity of the Korean version of the Epworth sleepiness scale. Sleep and Breathing. 2011; 15(3): 377-384. https://doi.org/10.1007/s11325-010-0343-6
  20. Oh YJ, Kang HY. (2013). Metacognition, learning flow and problem solving ability in nursing simulation learning. Journal of Korean Academy of Fundamentals of Nursing. 2013; 20(3): 239-247. https://doi.org/10.7739/jkafn.2013.20.3.239
  21. Han SY. A study on the relationships among smart phone addiction, learning-flow, and learning achievement of nursing students. Journal of Learner-Centered Curriculum and Instruction. 2015; 15: 987-1003.
  22. Kim YS. Academic stress, daytime sleepiness, depression and learning flow in nursing students. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology. 2018; 8: 867-883. https://doi.org/10.21742/AJMAHS.2018.05.64
  23. Kim HJ, Lee JH, Choi KG, Park KD, Chung EJ, Kim EJ, et al. Effects of sleep deprivation on attention and working memory in medical residents and interns. Journal of the Korean Sleep Research Society. 2006; 3(2): 85-92. https://doi.org/10.13078/jksrs.06015
  24. Selvi Y, Kandeger A, Boysan M, Akbaba N, Sayin AA, Tekinarslan E, et al. The effects of individual biological rhythm differences on sleep quality, daytime sleepiness, and dissociative experiences. Psychiatry Research. 2017; 256: 243-248. https://doi.org/10.1016/j.psychres.2017.06.059
  25. Alosaimi FD, Alyahya H, Alshahwan H, Al Mahyijari N, Shaik SA. Smartphone addiction among university students in Riyadh, Saudi Arabia. Saudi Medical Journa. 2016; 37(6): 675-683. https://doi.org/10.15537/smj.2016.6.14430
  26. Hawi NS, Samaha M. To excel or not to excel: Strong evidence on the adverse effect of smartphone addiction on academic performance. Computers & Education. 2016; 98: 81-89. https://doi.org/10.1016/j.compedu.2016.03.007
  27. Li J, Lepp A, Barkley JE. Locus of control and cell phone use: Implications for sleep quality, academic performance, and subjective well-being. Computers in Human Behavior. 2015; 52: 450-457. https://doi.org/10.1016/j.chb.2015.06.021

Cited by

  1. Smartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis vol.12, pp.1, 2019, https://doi.org/10.3390/su12010439
  2. The relationship between nursing students' technology addiction levels and attitudes toward e‐learning during the COVID‐19 pandemic: A cross‐sectional study vol.57, pp.3, 2021, https://doi.org/10.1111/ppc.12710