Relationship Between Self-Control and Continuous Partial Attention: Case of Prospective Teachers

Abstract

Related literature review evidence that self-control and attention have strong relationship. Despite a rich body of literature on self-control and attention, few studies have analyzed the relationship between self-control and CPA as a new phenomenon emerging with the intensive use of technology. Relationship between CPA and self-controls has been analyzed in this study. This correlation study conducted with 55 prospective teachers, CPA Survey and BSCS have been used. Pearson correlation coefficient, t-test and descriptive statistics used in data analysis. To the results, it was determined that the self-control abilities of prospective teachers were high whereas CPA levels were low. It was found that the CPA levels of the prospective teachers decreased, and self-control abilities increased as technology use increased. Contrary to common belief, no significant relationship was found between CPA and self-control as a result of Pearson correlation.

Keywords

• Continuous partial attention
• self-control
• prospective teachers

Kaynakça

1. Al-Fraihat, D., Joy, M., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67-86.
2. Arısoy, Ö. (2009). Internet addiction and its treatment. Psikiyatride Guncel Yaklasimlar-Current Approaches in Psychiatry, 1(1), 55-67.
3. Atwal, J., Klaus, N., & Daily, R. (2012). Problematic internet use in adolescents: An overview for primary care providers. Kansas Journal of Medicine, 5(3), 108–113. Retrieved from https://pdfs.semanticscholar.org/3fe7/7890b4d85ebae6196829084034a6a20aef55.pdf
4. Beard, K. W., & Wolf, E. M. (2001). Modification in the proposed diagnostic criteria for internet addiction. CyberPsychology & Behavior, 4(3), 377-383. doi:10.1089/109493101300210286
5. Baumeister, R. F., Gailliot, M., DeWall, C. N., & Oaten, M. (2006). Self-regulation and personality: How interventions increase regulatory success, and how depletion moderates the effects of traits on behavior. Journal of Personality, 74(6), 1773-1802. doi:10.1111/j.1467-6494.2006.00428.x
6. Baumeister, R. F., & Heatherton, T. F. (1996). Self-regulation failure: An overview. Psychological Inquiry, 7(1), 1-15. doi:10.1207/s15327965pli0701_1
7. Burton, V. S., Cullen, F. T., Evans, T. D., Alarid, L. F., & Dunaway, R. G. (1998). Gender, self-control, and crime. Journal of Research in Crime and Delinquency, 35(2), 123-147. doi:10.1177/0022427898035002001
8. Can, S. (2002). Validity and reliability of the scale called aggression questionnaire in Turkish population. Unpublished MA Dissertation, GATA Haydarpaşa Training Hospital, İstanbul.

9. Çallı, İ., Torkul, O., Taşbaş, N. (2003). “İnternet Destekli Öğretimde Kullanılmak Üzere Web Erişimli Veri Tabanı Yönetim Sistemleri İle Ölçme ve Değerlendirme Sistemi Tasarımı.” Third International Education Technologies Symposium (28-30 May 2003), Turkish Republic of Northern Cyprus: vol: I, pp. 563-569.
10. Davis, R. A. (2001). A cognitive-behavioral model of pathological internet use. Computers in Human Behavior, 17(2), 187-195. doi:10.1016/S0747-5632(00)00041-8
11. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
12. Deci, E. L., & Ryan, R. M. (2000). The" what" and" why" of goal pursuits: Human needs and the selfdetermination of behavior. Psychological Inquiry, 11(4), 227-268. doi:10.1207/S15327965PLI1104_01
13. Deci, E. L., & Ryan, R. M. (2008). Facilitating optimal motivation and psychological well-being across life's domains. Canadian Psychology/Psychologie canadienne, 49(1), 14. doi:10.1037/0708-5591.49.1.14
14. Dewan, P. (2019). Reading in the age of continuous partial attention: Retail-inspired ideas for academic libraries. Reference & User Services Quarterly, 58(3), 177-187. doi:10.5860/rusq.58.3.7045
15. Duckworth, A. L. (2011). The significance of self-control. Proceedings of the National Academy of Sciences, 108(7), 2639-2640. Eroğlu, M., Pamuk, M., & Pamuk, K. (2013). Investigation of problematic internet usage of university students with psychosocial levels at different levels. Procedia-Social and Behavioral Sciences, 103, 551-557.
16. Feng, S., Wong, Y. K., Wong, L. Y., & Hossain, L. (2019). The Internet and Facebook usage on academic distraction of college students. Computers & Education, 134, 41-49.
17. Flisher, C. (2010). Getting plugged in: an overview of internet addiction. Journal of Paediatrics and Child Health, 46(10), 557-559. doi:10.1111/j.1440-1754.2010.01879.x
18. Fırat, M. (2013a). Continuous partial attention as a problematic technology use: A case of educators. Journal of Educators Online, 10(2).
19. Fırat, M. (2013b). Multitasking or continuous partial attention: A critical bottleneck for digital natives. Turkish Online Journal of Distance Education, 14(1), 266-272.
20. Firat, M. (2017). Relationship between Self-Control and Facebook Use: Case of CEIT Students. Educational Sciences: Theory and Practice, 17(4), 1179-1201. doi:10.12738/estp.2017.4.0194
21. Friedman, T.L. (2001). Cyber-Serfdom, The New York Times, January 30.
22. Gottfredson, M. R., & Hirschi, T. (1990). A general theory of crime. Stanford, CA: Stanford University Press.
23. Güçdemir, Y. (2003). Bilgisayar ağları, internetin gelişimi ve bilgi kirlenmesi. İstanbul Üniversitesi İletişim Fakültesi Hakemli Dergisi, 17, 371-378.
24. Harwood, A. (2019). Individual Differences in Self-Control and Cognitive Resource Depletion during Sustained Attention. Doctoral dissertation, George Mason University.
25. Hayles, N.K. (2007). Hyper and deep attention: The generational divide in cognitive modes. Profession, 13,187– 199. doi:10.1632/prof.2007.2007.1.187
26. Kelley, K. J., & Gruber, E. M. (2010). Psychometric properties of the Problematic Internet Use Questionnaire. Computers in Human Behavior, 26(6), 1838-1845. doi:10.1016/j.chb.2010.07.018
27. Kim, E. J., Namkoong, K., Ku, T., & Kim, S. J. (2008). The relationship between online game addiction and aggression, self-control and narcissistic personality traits. European Psychiatry, 23(3), 212-218. doi:10.1016/j.eurpsy.2007.10.010
28. LaGrange, T. C., & Silverman, R. A. (1999). Low self-control and opportunity: Testing the general theory of crime as an explanation for gender differences in delinquency. Criminology, 37(1), 41-72. doi:10.1111/j.1745-9125.1999.tb00479.x
29. Lavanco, G., Catania, V., Milio, A., Romano, F. (2008). Learning and relationships in the cyberspace. Proceedings of World Academy of Science: Engineering & Technology, 28, 473-477.
30. Lee, M. K., Cheung, C. M., & Chen, Z. (2005). Acceptance of internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095-1104. doi:10.1016/j.im.2003.10.007
31. Lee, O., & Shin, M. (2004). Addictive consumption of avatars in cyberspace. CyberPsychology & Behavior, 7(4), 417-420. doi:10.1089/cpb.2004.7.417
32. Li, C., Dang, J., Zhang, X., Zhang, Q., & Guo, J. (2014). Internet addiction among Chinese adolescents: The effect of parental behavior and self-control. Computers in Human Behavior, 41, 1-7. doi:10.1016/j.chb.2014.09.001
33. Li, D., Li, X., Wang, Y., Zhao, L., Bao, Z., & Wen, F. (2013). School connectedness and problematic internet use in adolescents: A moderated mediation model of deviant peer affiliation and self-control. Journal of Abnormal Child Psychology, 41(8), 1231-1242. doi:10.1007/s10802-013-9761-9
34. Limperos, A.M., Buckner, M.M., Kaufman, R., & Frisby, B.N. (2014). Online teaching and technological affordances: An experimental investigation into the impact of modality and clarity on perceived and actual learning. Computers & Education, 83, 1-9. doi:10.1016/j.compedu.2014.12.015
35. Mahon, M. J. (1994). The use of self-control techniques to facilitate self-determination skills during leisure in adolescents and young adults with mild and moderate mental retardation. Therapeutic Recreation Journal, 28(2), 58-72.
36. Mason, W. A., & Windle, M. (2002). Gender, self-control, and informal social control in adolescence a test of three models of the continuity of delinquent behavior. Youth & Society, 33(4), 479-514. doi:10.1177/0044118X02033004001
37. Mathew, P., & Raman, K. (2020). Impact of problematic internet use on the self-esteem of adolescents in the selected school, Kerala, India. Archives of Psychiatric Nursing.
38. Muraven, M., & Baumeister, R. F. (2000). Self-regulation and depletion of limited resources: Does self-control resemble a muscle?. Psychological Bulletin, 126(2), 247. doi:10.1037/0033-2909.126.2.247
39. Nebioglu, M., Konuk, N., Akbaba, S., and Eroglu, Y. (2012). The investigation of validity and reliability of the Turkish version of the Brief Self-Control Scale. Bulletin of Clinical Psychopharmacology, 22(4), 340-351. doi:10.5455/bcp.20120911042732
40. Norman, K. L. (2008). Cyberpsychology: An introduction to human-computer interaction (Vol. 1). New York, NY: Cambridge university press.
41. Odaci, H. (2011). Academic self-efficacy and academic procrastination as predictors of problematic internet use in university students. Computers & Education, 57(1), 1109-1113. doi:10.1016/j.compedu.2011.01.005
42. Odacı, H., & Çıkrıkçı, Ö. (2014). Problematic internet use in terms of gender, attachment styles and subjective well-being in university students. Computers in Human Behavior, 32, 61-66. doi:10.1016/j.chb.2013.11.019
43. Odacı, H., & Çelik, Ç. B. (2013). Who are problematic internet users? An investigation of the correlations between problematic internet use and shyness, loneliness, narcissism, aggression and selfperception. Computers in Human Behavior, 29(6), 2382-2387. doi:10.1016/j.chb.2013.05.026
44. Odacı, H., & Kalkan, M. (2010). Problematic internet use, loneliness and dating anxiety among young adult university students. Computers & Education, 55(3), 1091-1097. doi:10.1016/j.compedu.2010.05.006
45. Özdemir, Y., Kuzucu, Y., & Ak, Ş. (2014). Depression, loneliness and Internet addiction: How important is low self-control?. Computers in Human Behavior, 34, 284-290. doi:10.1016/j.chb.2014.02.009
46. Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and policy in mental health and mental health services research, 42(5), 533-544. doi:10.1080/07418820701200935
47. Park, S. M., Park, Y. A., Lee, H. W., Jung, H. Y., Lee, J. Y., & Choi, J. S. (2013). The effects of behavioral inhibition/approach system as predictors of internet addiction in adolescents. Personality and Individual Differences, 54(1), 7-11. doi:10.1016/j.paid.2012.07.033
48. Peng, H., Tsai, C.C., & Wu, Y.T. (2006). University students’ self-efficacy and their attitudes toward the Internet: the role of students’ perceptions of the internet. Educational Studies, 32, 73–86. doi:10.1080/03055690500416025
49. Piquero, A. R., & Bouffard, J. A. (2007). Something old, something new: A preliminary investigation of Hirschi’s redefined self-control. Justice Quarterly, 24(1), 1-27.
50. Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68.
51. Shadzi, M. R., Salehi, A., & Vardanjani, H. M. (2020). Problematic internet use, mental health, and sleep quality among medical students: A path-analytic model. Indian Journal of Psychological Medicine, 42(2), 128-135.
52. Siciliano, V., Bastiani, L., Mezzasalma, L., Thanki, D., Curzio, O., & Molinaro, S. (2015). Validation of a new Short Problematic Internet Use Test in a nationally representative sample of adolescents. Computers in Human Behavior, 45, 177-184. doi:10.1016/j.chb.2014.11.097
53. Sinha, R. (2009). Modeling stress and drug craving in the laboratory: Implications for addiction treatment development. Addiction Biology, 14(1), 84-98. doi:10.1111/j.1369-1600.2008.00134.x
54. Small, G. & Vorgan, G. (2008). Meet Your iBrain. Scientific American Mind, Vol. 19, Issue 5.
55. Spada, M. M., Langston, B., Nikčević, A. V., & Moneta, G. B. (2008). The role of metacognitions in problematic internet use. Computers in Human Behavior, 24(5), 2325-2335. doi:10.1016/j.chb.2007.12.002
56. Stocker, E., Seiler, R., Schmid, J., & Englert, C. (2019). Hold your strength! Motivation, attention, and emotion as potential psychological mediators between cognitive and physical self-control. Sport, exercise, and performance psychology. 9(2), 167–182. doi:10.1037/spy0000173
57. Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72(2), 271-324. doi:10.1111/j.0022-3506.2004.00263.x
58. Thagard, P. (2010). The brain and the meaning of life. Princeton University Press.
59. Tittle, C. R., Ward, D. A., & Grasmick, H. G. (2003). Gender, age, and crime/deviance: A challenge to selfcontrol theory. Journal of Research in Crime and Delinquency, 40(4), 426-453. doi:10.1177/0022427803256074
60. Vazsonyi, A. T., & Crosswhite, J. M. (2004). A test of Gottfredson and Hirschi’s general theory of crime in African American adolescents. Journal of Research in Crime and Delinquency, 41(4), 407-432. doi:10.1177/0022427803262060
61. Vazsonyi, A. T., Pickering, L. E., Junger, M., & Hessing, D. (2001). An empirical test of a general theory of crime: A four-nation comparative study of self-control and the prediction of deviance. Journal of Research in Crime and Delinquency, 38(2), 91-131. doi:10.1177/0022427801038002001
62. Vazsonyi, A. T., Wittekind, J. E. C., Belliston, L. M., & Van Loh, T. D. (2004). Extending the general theory of crime to “the East:” Low self-control in Japanese late adolescents. Journal of Quantitative Criminology, 20(3), 189-216. doi:10.1023/B:JOQC.0000037731.28786.e3
63. Yang, F.Y., & Tsai, C.C. (2008). Investigating university student preferences and beliefs about learning in the web-based context. Computers & Education, 50, 1284–1303. doi:10.1016/j.compedu.2006.12.009
64. Young, K. S. (1996). Psychology of computer use: XL. Addictive use of the internet: A case that breaks the stereotype. Psychological Reports, 79(3), 899-902. doi:10.2466/pr0.1996.79.3.899
65. 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
66. Widyanto, L., & Griffiths, M. D. (2009). Unravelling the web: adolescents and internet addiction. Adolescent online social communication and behavior: Relationship formation on the Internet, 29-49.
67. Wills, T. A., Sandy, J. M., & Yaeger, A. M. (2001). Time perspective and early-onset substance use: A model based on stress–coping theory. Psychology of Addictive Behaviors, 15(2), 118.
68. Wills, T. A., Windle, M., & Cleary, S. D. (1998). Temperament and novelty seeking in adolescent substance use: convergence of dimensions of temperament with constructs from Cloninger's theory. Journal of Personality and Social Psychology, 74(2), 387.