Dergiler / International Journal of Psychology and Educational Studies / 2026 / Cilt: 7 Sayı: 1

Effect of smartphone addiction on loneliness levels and academic achievement of z generation

İlimdar Yalçın(Bingöl University, Bingöl, Turkey)
Burhan Özkurt(Sivas Cumhuriyet University, Sivas)
Murat Özmaden(Adnan Menderes University, Aydın)
Rıfat Yağmur(Afyon Kocatepe University, Afyon, Turkey)
Sayfa
208–214
Yayın Tarihi
2020-05-01
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Thus, loneliness levels can be reduced and academic achievement can be increased.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Smartphones provide users much more than a mobile phone.
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Temel Bulgular & Veri:In 2018-2019 academic year’ spring semester, 490 high school students voluntarily participated to this study.
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Sonuç & Katkı:Thus, loneliness levels can be reduced and academic achievement can be increased.
🔬Tür:Makale
📍Kapsam:2018-2019 Verileri
⚙️Değişkenler:Academic achievement · Loneliness · Smartphone addiction

Abstract

Smartphones provide users much more than a mobile phone. For this reason, smartphones have become very important in our lives. In this context, the aim of this study was to investigate the effect of smartphone addiction on loneliness levels and academic achievement of Z generation high school students. In 2018-2019 academic year’ spring semester, 490 high school students voluntarily participated to this study. As well as demographic information, Smartphone Addiction Scale and UCLA Loneliness Scale were used. In the analyses of the obtained data, IBM SPSS Statistics 24 was used. The relationship between variables was analyzed using Pearson's Correlation analysis. To determine the effect of smartphone addiction on high school students’ loneliness and academic achievements, linear regression analysis was used. A positive relationship between Z generation high school students' smartphone addiction and right of monthly GB usage for smartphone, daily internet usage duration, and loneliness levels was determined, whereas there was a negative correlation between their academic achievements. Moreover, it was found that smartphone addiction of Z generation high school students predicted their loneliness and academic achievement at the level of ~4% and ~1%, respectively. These results show that high school students should be saved from smartphone addiction. Thus, loneliness levels can be reduced and academic achievement can be increased.

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Bu Makaleye Atıf Yap

Yalçın, İ., Özkurt, B., Özmaden, M., Yağmur, R. (2020). Effect of smartphone addiction on loneliness levels and academic achievement of z generation. International Journal of Psychology and Educational Studies, Cilt: 7 Sayı: 1, 208–214. https://doi.org/10.17220/ijpes.2020.01.017

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Kaynakça (39)

  1. Adıgüzel, O., Batur, H. Z., & Ekşili, N. (2014). Generation’s changing side and the newly arisen work style after Y-generation: mobile collars. Journal of Süleyman Demirel University Institute of Social Sciences, 19(1), 165-182.
  2. Aktürk, Ü., Budak, F., Gültekin, A., & Özdemir, A. (2018). Comparison of smartphone addiction and loneliness in high school and university students. Perspectives in psychiatric care, 54(4), 564-570. doi: 10.1111/ppc.12277
  3. Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39-51. doi: 10.1089/cpb.2005.8.39
  4. Çakır, Ö., & Oğuz, E. (2017). Lise öğrencilerinin yalnızlık düzeyleri ile akıllı telefon bağımlılığı arasındaki ilişki. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 13(1), 418-429. doi:10.17860/mersinefd.290711
  5. Dayapoglu, N., Kavurmaci, M., & Karaman, S. (2016). The relationship between the problematic mobile phone use and life satisfaction, loneliness, and academic performance in nursing students. International Journal of Caring Sciences, 9(2), 647-652.
  6. Dikeç, G., Yalnız, T., Bektaş, B., Turhan, A., & Çevik, S. Relationship between Smartphone Addiction and Loneliness among Adolescents. Bağımlılık Dergisi, 18(4), 103-111.
  7. Enez Darcin, A., Kose, S., Noyan, C. O., Nurmedov, S., Yılmaz, O., & Dilbaz, N. (2016). Smartphone addiction and its relationship with social anxiety and loneliness. Behaviour & Information Technology, 35(7), 520- 525. doi: 10.1080/0144929X.2016.1158319
  8. Engelberg, E., & Sjöberg, L. (2004). Internet use, social skills, and adjustment. Cyberpsychology & Behavior, 7(1), 41-47. doi: 10.1089/109493104322820101
  9. George, D. and Mallery, P. (2003). SPSS for Windows step by step: a simple guide and reference. (4th edition). Boston: Allyn & Bacon.
  10. Giunchiglia, F., Zeni, M., Gobbi, E., Bignotti, E., & Bison, I. (2018). Mobile social media usage and academic performance. Computers in Human Behavior, 82, 177-185. doi: 10.1016/j.chb.2017.12.041
  11. Haug, S., Castro, R. P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M. P. (2015). Smartphone use and smartphone addiction among young people in Switzerland. Journal of behavioral addictions, 4(4), 299- 307. doi:10.1556/2006.4.2015.037
  12. Hays, R. D., & DiMatteo, M. R. (1987). A short-form measure of loneliness. Journal of personality assessment, 51(1), 69-81. doi: 10.1207/s15327752jpa5101_6
  13. Junco, R., & Cotten, S. R. (2012). No A 4 U: The relationship between multitasking and academic performance. Computers & Education, 59(2), 505-514. doi: 10.1016/j.compedu.2011.12.023
  14. 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. doi: 10.1016/j.compedu.2018.08.012
  15. Kim, E., Cho, I., & Kim, E. J. (2017). Structural equation model of smartphone addiction based on adult attachment theory: mediating effects of loneliness and depression. Asian Nursing Research, 11(2), 92- 97. doi: 10.1016/j.anr.2017.05.002
  16. Kim, S., Ahn, J., & Lee, B. J. (2019). Why Do Children Become Unhappier as They Get Older? Comparing Key Dimensions of Children’s Subjective Well-Being Between 8-and 12-Year-Old Groups in South Korea. Child Indicators Research, 12(1), 9-27. doi:10.1007/s12187-017-9513-4
  17. Kutlu, M., Savcı, M., Demir, Y., & Aysan, F. (2016). Gençlerin internet bağımlılığı testi kısa formunun Türkçe uyarlaması: Üniversite öğrencileri ve ergenlerde geçerlilik ve güvenilirlik çalışması [Turkish adaptation of Young’s Internet Addiction Test-Short Form: a reliability and validity study on university students and adolescents]. Anadolu Psikiyatri Dergisi, 17(1), 69-76. doi: 10.5455/apd.190501
  18. 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), e83558. doi: 10.1371/journal.pone.0083558
  19. Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014). The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior, 31, 343-350. doi: 10.1016/j.chb.2013.10.049
  20. Lepp, A., Barkley, J. E., & Karpinski, A. C. (2015). The relationship between cell phone use and academic performance in a sample of U.S. college students. SAGE Open, 5(1), 1–9. doi: 10.1177/2158244015573169
  21. Lin, Y. H., Chang, L. R., Lee, Y. H., Tseng, H. W., Kuo, T. B., & Chen, S. H. (2014). Development and validation of 10.1371/journal.pone.0098312 Addiction Inventory (SPAI). PloS one, 9(6), e98312. doi
  22. Meitz, T. G. (2011). Mediality: Aspects of contextual media reception. Empedocles: European Journal for the Philosophy of Communication, 3(2), 197-214. doi: 10.1386/ejpc.3.2.197_1
  23. Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B.,. & Markowetz, A. (2015). Smartphone usage in the 21st century: who is active on WhatsApp? BMC research notes, 8(1), 331-336. doi: 10.1186/s13104-015-1280-z
  24. Noyan, C. O., Darçın, A. E., Nurmedov, S., Yılmaz, O., & Dilbaz, N. (2015). Validity and reliability of the Turkish version of the Smartphone Addiction Scale-Short Version among university students. Anatolian Journal of Psychiatry, 16, 73-81. doi: 10.5455/apd.176101
  25. Parasuraman, S., Sam, A. T., Yee, S. W. K., Chuon, B. L. C., & Ren, L. Y. (2017). Smartphone usage and increased risk of mobile phone addiction: A concurrent study. International journal of pharmaceutical investigation, 7(3), 125-131. doi: 10.4103/jphi.JPHI_56_17
  26. Rashid, T., & Asghar, H. M. (2016). Technology use, self-directed learning, student engagement and academic performance: Examining the interrelations. Computers in Human Behavior, 63, 604–612. doi: 10.1016/j.chb.2016.05.084
  27. Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321-325. doi: 0.1016/j.chb.2015.12.045
  28. Şar, A. H. (2013). Examination of loneliness and mobil phone addiction problem observed in teenagers from the some variables. The Journal of Academic Social Science Studies, 6(2), 1207-1220. doi: 10.9761/jasss_709
  29. Şar, A. H., Ayas, T., & Horzum, M. B. (2015). Developing the smart phone addiction scale and its validity and reliability study. Online Journal of Technology Addiction & Cyberbullying, 2(1), 1-17.
  30. Soyer, F., Tolukan, E., & Dugenci, A. (2019). Investigation of the Relationship between Leisure Satisfaction and Smartphone Addiction of University Students. Asian Journal of Education and Training, 5(1), 229-235. doi: 10.20448/journal.522.2019.51.229.235
  31. Sung, Y.-T., Chang, K.-E., & Liu, T.-C. (2016). The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275. doi: 10.1016/j.compedu.2015.11.008
  32. Tan, Ç., Pamuk, M., & Dönder, A. (2013). Loneliness and mobile phone. Procedia-Social and Behavioral Sciences, 103, 606-611. doi: 10.1016/j.sbspro.2013.10.378
  33. Tindell, D. R., & Bohlander, R. W. (2012). The use and abuse of cell phones and text messaging in the classroom: A survey of college students. College Teaching, 60(1), 1-9. doi: 10.1080/87567555.2011.604802
  34. Toronto, E. (2009). Time out of mind: Dissociation in the virtual world. Psychoanalytic Psychology, 26(2), 117– 133. doi: 10.1037/a0015485
  35. Ujang, S., Yusof, N. M., Rawi, I. N. A. M. M., Azhar, B. N. Y. B., Mohamad, N. A. S., & Yusoff, Y. N. M. (2016) Smartphone Addiction: Relationship between Gender, Emotional Instability and Loneliness among UiTM Raub Students. KONAKA, 333-338.
  36. World Health Organization. (2007). WHO reference 2007: growth reference data for 5-19 years. World Health Organization. Retrieved from: https://www.who.int/growthref/who2007_bmi_for_age/en/
  37. Yildiz, M. A., & Duy, B. (2014). Adaptation of the short-form of the UCLA loneliness scale (ULS-8) to Turkish for the adolescents. Dusunen Adam, 27(3), 194-203. doi: 10.5350/DAJPN2014270302
  38. Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237-244. doi: 10.1089/cpb.1998.1.237
  39. Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B.,. & Markowetz, A. (2015). Smartphone usage in the 21st century: who is active on WhatsApp? BMC research notes, 8(1), 331-336. doi: 10.1186/s13104-015-1280-z