International Association of Educators   |  ISSN: 1554-5210

Original article | International Journal of Progressive Education 2020, Vol. 16(6) 94-120

Use of Smartphones in Class: Examining the Relationship Between M-Learning Readiness, Cyberloafing, Nomophobia and Addiction Variables

Ali İbrahim Can Gözüm, Raziye Erkul & Nur Aksoy

pp. 94 - 120   |  DOI:   |  Manu. Number: MANU-2006-24-0001.R1

Published online: December 07, 2020  |   Number of Views: 134  |  Number of Download: 289


The aim of this study is to examine the relationship between pre-service preschool teachers' mobile-learning (m-learning) readiness, cyberloafing, nomophobiaand smartphone addiction variables. The study was carried out using 306 pre-service preschool teachers undergoing education at state-run universities in two different cities in Turkey. The most critical conclusion of the study is that the smartphones used by pre-service preschool teachers both for m-learning and for cyberloafing in class have an impact on nomophobia and smartphone addiction. In the study, the effects of smartphone usage on both the learning environment and the individual were discussed in accordance with the proposed model. Suggestions for the use of smartphones were made in line with the study's conclusions.

Keywords: M-Learning Readiness, Smartphone Cyberloafing, Smartphone Nomophobia, Smartphone Addiction, Pre-service Preschool Teachers

How to Cite this Article?

APA 6th edition
Gozum, A.I.C., Erkul, R. & Aksoy, N. (2020). Use of Smartphones in Class: Examining the Relationship Between M-Learning Readiness, Cyberloafing, Nomophobia and Addiction Variables . International Journal of Progressive Education, 16(6), 94-120. doi: 10.29329/ijpe.2020.280.6

Gozum, A., Erkul, R. and Aksoy, N. (2020). Use of Smartphones in Class: Examining the Relationship Between M-Learning Readiness, Cyberloafing, Nomophobia and Addiction Variables . International Journal of Progressive Education, 16(6), pp. 94-120.

Chicago 16th edition
Gozum, Ali Ibrahim Can, Raziye Erkul and Nur Aksoy (2020). "Use of Smartphones in Class: Examining the Relationship Between M-Learning Readiness, Cyberloafing, Nomophobia and Addiction Variables ". International Journal of Progressive Education 16 (6):94-120. doi:10.29329/ijpe.2020.280.6.

  1. Abachi, H. R. & Muhammad, G. (2014). The impact of m-learning technology on students and educators. Computers in Human Behavior, 30, 491-496. [Google Scholar] [Crossref] 
  2. Adnan, M & Gezgin, D . (2016). A Modern Phobia: Prevalence of Nomophobia among College Students. Ankara University Journal of Faculty of Educational Sciences (JFES), 49 (1), 141-158. [Google Scholar] [Crossref] 
  3. Aggarwall, K. K. (2013). Twenty-six percent of doctors suffer from severe mobile phone induced anxiety: Excessive use of mobile phone can be injurious to your health. Indian Journal of Clinical Practice, 24 (1), 7-9. [Google Scholar]
  4. Ak, N. Y. & Yildirim, S. (2018). Nomophobia among undergraduate students: The case of a Turkish State University. International Journal on New Trends in Education and Their Implications, 9 (4), 11-20. 10.14686/buefad.592443 [Google Scholar] [Crossref] 
  5. Akıllı, G. K. & Gezgin, D. M. (2016). Üniversite öğrencilerinin nomofobi düzeyleri ile farklı davranış örüntülerinin arasındaki ilişkilerin incelenmesi. Mehmet Akif Ersoy Üniversitesi Eğitim Fakültesi Dergisi, 1 (40), 51-69. [Google Scholar] [Crossref] 
  6. Akkoyunlu, B. (2018). Why we should start implementing mobile learning in education? In Proceedings of the 2nd International Conference on Distance Learning and Innovative Educational Technologies, 12-13 December 2018, Kızılcahamam, Ankara, Turkey. [Google Scholar]
  7. Almunawar, M. N., Anshari, M., Susanto, H. & Chen, C. K. (2015). Revealing customer behaviour on smartphones. International Journal of Asian Business and Information Management, 6 (2), 33–49. [Google Scholar] [Crossref] 
  8. Alsancak Sarıkaya, D. & Yurdagül, H. (2013). Çevrimiçi Öğrenme Hazır Bulunuşluluk Ölçeği: Geçerlik ve güvenirlik çalışması. Eğitim ve Bilim, 38 (169), 391-406. [Google Scholar]
  9. Alsancak Sarıkaya, D. & Yurdagül, H. (2016). Öğretmen adaylarının çevrimiçi öğrenme hazırbulunuşluluk düzeylerinin incelenmesi: Ahi Evran Üniversitesi örneği. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi (KEFAD), 17 (1), 185-200. [Google Scholar]
  10. Alzaza, N. S. & Yaakub, A. R. (2011). Students’ awareness and requirements of mobile learning services in the higher education environment, American Journal of Economics and Business Administration, 3 (1), 95-100. [Google Scholar] [Crossref] 
  11. Anandarajan, M., Simmers, C.A. & Teo, T. S. H. (2014). The internet and workplace transformation. In M. Anandarajan, T. S. H. Teoand C. A. Simmers (Eds.), The internet and workplace transformation (s. 3-11). Routlege [Google Scholar]
  12. Anderson, J. C. & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49 (2), 155–173. [Google Scholar] [Crossref] 
  13. Arıkan, F. & Özgür, H. (2019). Öğretmen Adaylarının Siber Aylaklık ve Bilişsel Kapılma Düzeylerinin Çeşitli Değişkenler Açısından İncelenmesi. Trakya Üniversitesi Sosyal Bilimler Dergisi, 21 (2), 863-885.  [Google Scholar] [Crossref] 
  14. Askew, K. L. (2012). The relationship between cyberloafing and task performance and an examination of the theory of planned behavior as a model of cyberloafing. (Unpublished post-graduate thesis). University of South Florida, USA. [Google Scholar]
  15. Bağrıacık Yılmaz, A. (2017). Lisansüstü öğrencilerinin siber aylaklık düzeylerinin çeşitli değişkenler açısından incelenmesi: Karma bir çalışma. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi, 18 (2), 113–134. [Google Scholar]
  16. Baker, W. M., Lusk, E. J., & Neuhauser, K. L. (2012). On the use of cell phones and other electronic devices in the classroom: Evidence from a survey of faculty and students. Journal of Education for Business, 87, 275-289. [Google Scholar] [Crossref] 
  17. Bartwal, J., & Nath, B. (2019). Evaluation of nomophobia among medical students using smartphone in north India. Medical Journal Armed Forces India, 1-5. [Google Scholar]
  18. Berry, M. J. & Westfall, A. (2015). Dial D for distraction: The making and breaking of cell phone policies in the college classroom. College Teaching, 63 (2), 62-71. [Google Scholar] [Crossref] 
  19. Bian, M. & Leung, L. (2014). Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social Science Computer Review, 33 (1), 61-79. [Google Scholar] [Crossref] 
  20. Bian, M.& Leung, L. (2014). Smartphone addiction: Linking loneliness, shyness, symptoms and patterns of use to social capital. Media Asia, 41 (2), 159–176. [Google Scholar] [Crossref] 
  21. Bianchi, A. & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8 (1), 39–51. [Google Scholar] [Crossref] 
  22. Bicen, H. & Arnavut, A. (2015). Determining the effects of technological tool use habits on social lives. Computers in Human Behavior, 48, 457-462. http:// [Google Scholar]
  23. Billieux J, Van der Linden M. & Rochat L. (2008). The role of impulsivity in actual and problematic use of the mobile phone. Applied Cognitive Psychology, 22 (9), 1195-1210. [Google Scholar] [Crossref] 
  24. Billieux, J., Van der Linden, M., d’Acremont, M., Ceschi, G. & Zermatten, A. (2007). Does impulsivity relate to perceived dependence on and actual use of the mobile phone? Applied Cognitive Psychology, 21 (4), 527–537. [Google Scholar] [Crossref] 
  25. Blanchard, A. L., & Henle, C. A. (2008). Correlates of different forms of cyberloafing: The role of norms and external locus of control. Computers in human behavior, 24(3), 1067-1084. [Google Scholar]
  26. Blau, G., Yang, Y. & Ward-Cook, K. (2006). Testing a measure of cyberloafing. Journal of Allied Health, 35 (1), 9-17. [Google Scholar]
  27. Block, W. (2001). Cyberslacking, business ethics and managerial economics. Journal of Business Ethics, 33 (3), 225-231. [Google Scholar] [Crossref] 
  28. Bock, G,-W.& Ho, S. L.(2009). Non-work related computing (NWRC).Communications of the ACM, 52 (4), 124–128. [Google Scholar] [Crossref] 
  29. Bragazzi, N. L. & Puente, G. D. (2014). A proposal for including nomophobia in the new DSM-V. Psychology Research and Behavior Management, 7, 155–160. [Google Scholar] [Crossref] 
  30. Brubaker, A. T. (2006). Faculty perceptions of the impact of student laptop use in a wireless internet environment on the classroom learning environment and teaching. A Master’s Paper for the M.S. in I.S degree. The University Of North Carolina, North Carolina. [Google Scholar]
  31. Cheever, N. A., Rosen, L. D., Carrier, L. M. & Chavez, A. (2014). Out of sight is notout of mind: the impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Computers in Human Behavior, 37, 290-297. [Google Scholar] [Crossref] 
  32. Chen, C. Y. (2020). Smartphone addiction: psychological and social factors predict the use and abuse of a social mobile application. Information, Communication & Society, 23 (3), 454-467. [Google Scholar] [Crossref] 
  33. Chen, L., Yan, Z., Tang, W., Yang, F., Xie, X.& He, J. (2016). Mobile phone addition levels and negative emotions among Chinese young adults: The mediating role of interpersonal problems. Computers in Human Behavior, 55, 856–866. [Google Scholar] [Crossref] 
  34. Chen, X. B. (2013). Tablets for informal language learning: Student usage and attitudes. Language, Learning & Technology, 17 (1), 20-36. [Google Scholar]
  35. Cheon, J., Lee, S., Crooks, S. & Song, J. (2012). An investigation of mobile learning readiness in higher education basedon the theory of planned behavior. Computers & Education, 59, 1054–1064. [Google Scholar] [Crossref] 
  36. Cheung, S. K., Yuen, K. S. & Tsang, E. Y. (2011). A study on the readiness of mobile learning in open education, In International Symposium on IT in Medicine and Education (ITME), IEEE, 1, 133-136. [Google Scholar]
  37. Christensen, R. & Knezek, G. (2017). Readiness for integrating mobile learning in the classroom: Challenges, preferences and possibilities. Computers in Human Behavior, 76, 112-121. [Google Scholar] [Crossref] 
  38. Chu, H. C. (2014). Potential negative effects of mobile learning on students’ learning achievement and cognitive load-A format assessment perspective. Educational Technology & Society, 17 (1), 332-344. [Google Scholar]
  39. Ciampa, K. (2014). Learning in a mobile age: An investigation of student motivation. Journal of Computer Assisted Learning, 30 (1), 82-96. [Google Scholar] [Crossref] 
  40. Corbeil, J. N. & Valdes Corbeil, M. E. (2007). Are you ready for mobile learning? Educause Quarterly, 2, 51-58. [Google Scholar]
  41. Davie, N. & Hilber, T. (2017). Nomophobia: is smartphone addiction a genuine risk for mobile learning? 13th International Conference Mobile Learning, ISBN: 978-989-8533-61-6. [Google Scholar]
  42. Demir, Ö & Seferoğlu, S . (2016). The Investigation of the Relationship of Cyber Bullying with Cyber Loafing, Internet Addiction, Information Literacy and Various Other Variables. Online Journal of Technology Addiction and Cyberbullying , 3 (1) , 1-26. [Google Scholar]
  43. Demirhan, E., Randler, C. & Horzum, M. B. (2016). Is problematic mobile phone use explained by chronotype and personality? Chronobiology International, 33 (7), 821–831. [Google Scholar] [Crossref] 
  44. De-Sola Gutiérrez J., Rodríguez de Fonseca, F.& Rubio, G. (2016). Cell-phone addiction: A review. Front Psychiatry, 24 (7), 1-15. [Google Scholar] [Crossref] 
  45. Dixit, S., Shukla, H., Bhagwat, A., Bindal, A., Goyal, A., Zaidi, A. & Shrivastava, A. (2010). A study to evaluate mobile phone dependence among students of a medical college and associated hospital of central India. Indian Journal of Community Medicine, 35 (2), 339-341. [Google Scholar] [Crossref] 
  46. Duke, E. & Montag, C. (2017). Smartphone addiction and beyond: Initial insights on an emerging research topic and its relationship to internet addiction. Studies in Neuroscience, Psychology and Behavioral Economics, 359-372. [Google Scholar] [Crossref] 
  47. Dukic, Z., Chiu, D. K. W. & Lo, P. (2015). How useful are smartphones for learning? Perceptions and practices of library and information science students from Hong Kong and Japan. Library Hi Tech, 33 (4), 545-561. [Google Scholar] [Crossref] 
  48. Durak, H. Y. (2018). Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: Demographic variables and academic performance. The Social Science Journal, [Google Scholar] [Crossref] 
  49. Dye, A., Solstad, B. & K'Odingo, J. A. (2003). Mobile Education-A Glance at The Future NITH Norges Informasjonsteknologiske Høgskole. [Google Scholar]
  50. Erdem, H., Türen, U. & Kalkin, G. (2017). Mobil telefon yoksunluğu korkusu (Nomofobi) yayılımı: Türkiye'den üniversite öğrencileri ve kamu çalışanları örneklemi. Bilişim Teknolojileri Dergisi, 10 (1), 1-12. [Google Scholar] [Crossref] 
  51. Ergün, E. & Altun, A. (2012). Cyberloafingfrom students' perspective. EducationalTechnology: Theory and Practice, 2 (1), 36–53. [Google Scholar] [Crossref] 
  52. Farooqui, I. A., Pore, P., & Gothankar, J. (2018). Nomophobia: an emerging issue in medical institutions?. Journal of Mental Health, 27(5), 438-441. [Google Scholar]
  53. Ferdous, T., Shuchi, S., Begum, A., Hossen, Md S. & Hossain, M. N. (2020). Mobile phone using pattern and the perception amongst university students in Dhaka city. Bioresearch Communications-(BRC). Dhaka, Bangladesh, 6 (1), 872-881. [Google Scholar]
  54. Fried, C. (2008). In-class laptop use and its effects on student learning. Computers & Education, 50 (3), 906–914. [Google Scholar] [Crossref] 
  55. Frohberg, D., Goth, C., & Schwabe, G. (2009). Mobile learning projectsea critical analysis of the state of the art.Journal of Computer Assisted Learning, 25,307-331. [Google Scholar]
  56. Geddes, S. J. (2004). Mobile learning in the 21st century: benefit for learners. Knowledge Tree ejournal, 30 (3), 214-228. [Google Scholar] [Crossref] 
  57. Gezgin, D. M. & Çakır, Ö. (2016). Analysis of nomofobic behaviors of adolescents regarding various factors. Journal of Human Sciences, 13 (2), 2504-2519. [Google Scholar] [Crossref] 
  58. Gezgin, D. M., Hamutoğlu, N.B., Samur, Y. & Yildirim, S. (2018). Genç nesil arasında yaygınlaşan bir bağımlılık: Akıllı telefon bağımlılığının cinsiyet, akademik başarı ve mobil oyun oynama değişkenleri açısından incelenmesi. Eğitim Teknolojisi Kuram ve Uygulama, 8 (2), 212-231. [Google Scholar] [Crossref] 
  59. Gökçearslan, Ş. Solmaz, E. & Kukul, V. (2017). Mobil Öğrenmeye Yönelik Hazırbulunuşluk Ölçeği: Bir uyarlama çalışması. Eğitim Teknolojisi Kuram ve Uygulama, 7 (1), 143-157. [Google Scholar] [Crossref] 
  60. Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T. & Çevik, Y. D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639-649. [Google Scholar] [Crossref] 
  61. Gözüm, A. İ. C., Aksoy, N. & Erkul, R. (2019). Okul öncesi öğretmen adaylarının derslerde mobil öğrenme hazırbulunuşluklarının ve siber aylaklıklarının incelenmesi. 6. Uluslararası Okul Öncesi Eğitimi Kongresi, 2-5 Ekim 2019, Kars, Türkiye. [Google Scholar]
  62. Greenfield, D. N. & Davis, R. A. (2002). Lost in cyberspace: The web@ work. Cyber Psychology & Behavior, 5 (4), 347-353. [Google Scholar] [Crossref] 
  63. Griffiths, M. (2003). Internet abuse in the workplace: Issues and concerns for employers and employment counselors. Journal of Employment Counseling, 40 (2), 87-96. [Google Scholar] [Crossref] 
  64. Griffiths, M. (2010). Internet abuse and internet addiction in the workplace. Journal of Workplace Learning, 22 (7), 463-472. [Google Scholar] [Crossref] 
  65. Gür Erdoğan, D., Bayat, S. & Şentürk, Ş. (2017). Pedagojik formasyon öğrencilerinin bit, e-öğrenme ve yaşam boyu öğrenme eğilimleri arasındaki ilişki. Uluslararası Eğitim Programları ve Öğretim Çalışmaları Dergisi, 7 (13), 147-159. [Google Scholar]
  66. Hassan, H. M., Reza, D. M. & Farkhad, M. A. A. (2015). An experimental study of influential elements on cyberloafing from general deterrence theory perspective case study: Tehran subway organization. International Business Research, 8 (3), 91-98. [Google Scholar]
  67. 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. [Google Scholar] [Crossref] 
  68. Hong, F. Y., Chiu, S. I. & Huang, D. H. (2012). A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students. Computers in Human Behavior, 28, 2152–2159. [Google Scholar] [Crossref] 
  69. Hooper, D., Coughlan, J. & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6, 53-60. [Google Scholar] [Crossref] 
  70. Hu, L.-t. & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. [Google Scholar] [Crossref] 
  71. Hwang, G. & Chang, H. (2011). A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education, 56 (4), 1023–1031. [Google Scholar] [Crossref] 
  72. Jacobsen, W. C. & Forste, R. (2011). The wired generation: Academic and social outcomes of electronic media use among university students. Cyberpsychology, Behavior, and Social Networking, 14(5), 275–280. [Google Scholar] [Crossref] 
  73. Jaradat, R. M. (2014). Students' attitudes and perceptions towards using m-learning for French language learning: A case study on Princess Nora University. International Journal of Learning Management Systems, 2 (1), 33-44. [Google Scholar]
  74. Jeong, S. H., Kim, H., Yum, J. Y. & Hwang, Y. (2016). What type of content are smartphone users addicted to?: SNS vs. games. Computers in Human Behavior, 54, 10–17. [Google Scholar] [Crossref] 
  75. Jöreskog, K. G. & Sörbom, D. (1984). Lisrel VI. analysis of linear structural relationships by maximum likelihood, instrumental variables, and least squares methods. Mooresville: Scientific Software. [Google Scholar]
  76. Kalaycı, E. (2010). Investigation of relationship between cyberloafing and self-regulated learning strategies among undergraduate students. Unpublished doctoral dissertation, Hacettepe Üniversitesi, Fen Bilimleri Enstitüsü, Ankara, Turkey. [Google Scholar]
  77. Kalelioğlu, F. & Baturay, M. (2014). E-Öğrenme için Hazırbulunuşluk Öz Değerlendirme Ölçeğinin Türkçe’ye Uyarlanması: Geçerlik ve Güvenirlik Çalışması. Başkent University Journal of Education (BUJE), 1 (2), 22-30. [Google Scholar]
  78. Kamibeppu, K., & Sugiura, H. (2005). Impact of the mobile phone on junior high-school students' friendships in the Tokyo metropolitan area. Cyberpsychology & Behavior, 8(2), 121-130. [Google Scholar]
  79. Karaoğlan Yılmaz, F. G., Yılmaz, R., Öztürk, H. T., Sezer, B. & Karademir, T. (2015). Cyberloafing as a barrier to the successful integration of information and communication technologies into teaching and learning environments.Computers in Human Behavior, 45, 290–298. [Google Scholar] [Crossref] 
  80. Keser, H., Kavuk, M. & Numanoğlu, G. (2016). The relationship between cyber-loafing and internet addiction. Cypriot Journal of Educational Science, 11(1), 37-42. [Google Scholar] [Crossref] 
  81. Kibona, L. & Mgaya, G. (2015). Smartphones’ effects on academic performance of higher learning students. Journal of Multidisciplinary Engineering Science and Technology, 2 (4), 777-784. [Google Scholar]
  82. King A. L. S., Valença A. M. & Nardi A. E. (2010). Nomophobia: The mobile phone in panic disorder with agoraphobia: Reducing phobias or worsening of dependence? Cognit.Behav. Neurol, 23, 52–54. [Google Scholar] [Crossref] 
  83. King, A. L. S., Valença, A. M., Silva, A. C. O., Baczynski, T., Carvalho, M. R. & Nardi, A. E. (2013). Nomophobia: Dependency on virtual environments or social phobia? Computers in Human Behavior, 29, 140–144. [Google Scholar] [Crossref] 
  84. King, B. J. (2007). Employee use of the internet and acceptable use policies in the academic workplace: controlling abuse while creating culture. The Faculty of the Department of Educational Leadership and Policy Analysis, East Tennessee State University, Master Dissertation [Google Scholar]
  85. Kline, R. B. (2016). Principle and practice of structural equation modelling (4th ed.). The Guilford Press [Google Scholar]
  86. Klotz, A. C. &  Buckley, M. R. (2013). A historical perspective of counterproductive work behavior targeting the organization. Journal of Management History, 19 (1), 114-132. [Google Scholar] [Crossref] 
  87. Köyüstü, S. (2018). Sanal kaytarma konusunda yapılmış tezlerin içerik analizi yöntemiyle incelenmesi (2010-2017). International Journal of Academic Value Studies (Javstudies), 4 (20), 666-679. [Google Scholar]
  88. Kukulska Hulme, A. (2005). Introduction.  A. Kukulska hulme & J. Traxler (Ed.), In Mobile lerning: a handbook for educators and trainers, (p. 1-6) United Kingdom: Routledge [Google Scholar]
  89. Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W. & Min, J. A. (2013). Development and validation of a smartphone addiction scale (SAS). Plos One, 8 (2), 1-7. [Google Scholar] [Crossref] 
  90. Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., Gu, X., Choi, J. H., & Kim, D. J. (2013) Development and validation of a smartphone addiction scale (SAS). PLoS ONE 8 (2): e56936. [Google Scholar] [Crossref] 
  91. Lauricella, S. & Kay, R. (2010). Assessing laptop use in higher education classrooms: The laptop effectiveness scale (LES). Australasian Journal of Educational Technology, 26 (2). [Google Scholar] [Crossref] 
  92. Laurillard, D. (2007). Pedagogical forms for mobile learning: framing research questions. In, Pachler, N. (ed), Mobile learning: towards a research agenda. (pp. 153-175).WLE Centre, IoE. [Google Scholar]
  93. Lavoie, J.A.A. & Pychyl, T.A. (2001). Cyberslacking and the procrastinationsuperhighway: A Web- based survey of online procrastination, attitudes, and emotion. Social Science Computer Review, 19 (4), 431–444. [Google Scholar] [Crossref] 
  94. Laxman, K. & Holt, C. (2017). Bring your own device or bring your own distraction. International Journal on E-Learning, 16 (3), 245-263. [Google Scholar] [Crossref] 
  95. Lee, J., Cho, B., Kim, Y. & Noh, J. (2015). Smartphone addiction in university students and its implication for learning. In Emerging issues in smart learning (pp. 297-305). Springer Berlin Heidelberg. 44188-6_40. [Google Scholar]
  96. 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. [Google Scholar] [Crossref] 
  97. Lim, V. K. (2002). The IT way of loafing on the job: Cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior, 23 (5), 675-694. [Google Scholar] [Crossref] 
  98. Lin, H. H., Lin, S., Yeh, C. H. & Wang, Y-S. (2016). Measuring mobile learning readiness: scale development and validation. Internet Research, 26(1), 265-287. [Google Scholar] [Crossref] 
  99. Lin, J. S. C. & Hsieh, P. L. (2007). The influence of technology readiness on satisfaction and behavioral intentions toward selfservice technologies. Computers in Human Behavior, 23 (3), 1597-1615. [Google Scholar] [Crossref] 
  100. MacCallum, K. & Jeffrey, L. (2009). Identifying discriminating variables that determine mobile learning adoption by educators: An initial study. Same places, different spaces, Proceedings ascilite Auckland 2009, 602- 608. [Google Scholar]
  101. Mahamad, S., Ibrahim, M. N. & Taib, S. M. (2010). M-learning: A new paradigm of learning mathematics in Malaysia. International Journal of Computer Science & Information Technology, 2 (4), 76-86. [Google Scholar] [Crossref] 
  102. Mahatakanoon, P. (2006). Internet abuse in the workplace. M. Anandarajan, T. S. H. Teo, C. A. Simmers (Eds.), In The internet and workplace transformation (s. 5-27).  Routledge [Google Scholar]
  103. Marsh, H. W. & Hau, K. T. (1996). Assessing goodness of fit: Is parsimony always desirable? The Journal of Experimental Education, 64 (4), 364-390. [Google Scholar] [Crossref] 
  104. Martin, F. & Ertzberger, J. (2013). Here and now mobile learning: An experimental study on the use of mobile technology. Computers & Education, 68, 76-85. [Google Scholar] [Crossref] 
  105. McBride, J., Milligan, J. & Nichols, J. (2006). Who‟s teaching the kids? Cyberslacking in the classroom. Journal of College & Character, 7 (1). [Google Scholar] [Crossref] 
  106. Menard, S. (1995). Applied logistic regression analysis. Sage.  [Google Scholar]
  107. Myers, R. (1990). Classical and modern regression with applications (2nd ed). Duxbury. [Google Scholar]
  108. Nakamura, H., Hanamitsu, N. & Minamizawa, K. (2015). A (touch)ment: A smartphone extension for instantly sharing visual and tactile experience. In Proceedings of the 6th Augmented Human International Conference, 223–224. [Google Scholar]
  109. Nawaz, I., Sultana, I., Amjad, M. J. & Shaheen, A. (2017). Measuring the enormity of nomophobia among youth in Pakistan.Journal of Technology in Behavioral Science, 2 (3-4), 149-155. [Google Scholar] [Crossref] 
  110. Netburn, D. (2012). Nomophobia - fear of being without your phone - on the rise. Time website: -1ti2s.html [Google Scholar]
  111. Nwagwu, W. (2001). Factors influencing the adoption of mobile telephony by students at the University of Ibadan, Nigeria. Time website: [Google Scholar]
  112. O’Malley, C., Vavoula G., Glew, J., Taylor J., Sharples, M., Lefrere, P., Lonsdale, P., Naismith, L. & Waycott, J. (2005). Guidelines for learning/teaching/tutoring in a mobile environment. Mobilearn Deliverable, 4 (1), 1-86. [Google Scholar]
  113. Olcay, A., Döş, B., Sürme, M. & Düzgün, M. (2018). Turizm eğitimi alan öğrencilerin elektronik öğrenmeye hazırbulunuşluklarını belirlemeye yönelik bir çalışma. Kastamonu Educational Journal, 26 (2), 427-438. [Google Scholar]
  114. Olivencia-Carrión, M. A., Ferri-García, R., Rueda M. D. M., Jiménez-Torres M.G. & López-Torrecillas F. (2018). Temperament and characteristics related to nomophobia. Psychiatry Res, 266, 5-10. [Google Scholar] [Crossref] 
  115. Olufadi, Y. (2015). A configurational approach to the investigation of the multiple paths to success of students through mobile phone use behaviors. Computers & Education, 86, 84–104. [Google Scholar] [Crossref] 
  116. Ovarec, J.A. (2002). Constructive approaches to internet recreation in the workplace. Communications of the ACM, 45 (1), 60-63. [Google Scholar] [Crossref] 
  117. Pachler, N., Bachmeir, B. & Cook, J. (2010). Mobile learning: Structures, agencies, practices. Springer [Google Scholar]
  118. Park, C. & Park, Y. R. (2014). The conceptual model on smartphone addiction among early childhood. International Journal of Social Science and Humanity, 2 (4), 147-150. [Google Scholar] [Crossref] 
  119. Paulson, D. S. (2007). Handbook of regression and modeling. Chapman & Hall/CRC. [Google Scholar]
  120. Pavithra, M. B., Madhukumar, S. & Mahadeva, M. (2015). A study on nomophobia-mobile phone dependence, among students of a medical college in Bangalore. National Journal of Community Medicine, 6 (3), 340–344. [Google Scholar]
  121. Peters, K. (2009). M-learning: Positioning Educators for a Mobile, Connected Future. Mobile Learning: Transforming the Delivery of Education and Training. (ed.M. Alley). AU Press. [Google Scholar]
  122. Polat, M. (2018). Derslerde akıllı telefon siber aylaklığı ölçeği (DATSAÖ): Üniversite öğrencileri için bir ölçek uyarlama çalışması. Social Sciences Studies Journal, 4 (21), 3114-3127. [Google Scholar]
  123. Polzer-Debruyne, A. M. (2008). Psychological and Workplace Attributes that Influence Personal Web Use (PWU). Unpublished doctoral thesis, Industrial/Organizational Psychology, Massey University, New Zealand. [Google Scholar]
  124. Roberts, J. A., Petnji Yaya, L. H. & Manolis, C. (2014). The invisible addiction: Cell-phone activities and addiction among male and female college students. Journal of Behavioral Addictions, 3 (4), 254-265. [Google Scholar] [Crossref] 
  125. Robinson, S. L. 6 Bennett, R. J. (1995). A typology of deviant workplace behavior: Amultidimensional scaling study. Academy of Management Journal, 38 (2), 555–572. [Google Scholar] [Crossref] 
  126. Rodriguez-Garcia, A. M., Moreno-Guerrero, A. J. & Belmonte, J. L. (2020). Nomophobia: An individual’s growing fear of being without a smartphone-a systematic literature review. International Journal of Environmental Research and Public Health, 17, 580. [Google Scholar] [Crossref] 
  127. Rosales-Huamani, J. A., Guzman-Lopez, R. R., Aroni-Vilca, E. E., Matos-Avalos, C. R., & Castillo-Sequera, J. L. (2019). Determining symptomatic factors of nomophobia in peruvian students from the national university of engineering. Applied Sciences, 9(9), 1814. [Google Scholar]
  128. Rozgonjuk, D., Saal, K. & Täht, K. (2018). Problematic smartphone use, deep and surface approaches to learning, and social media use in lectures. International Journal of Environmental Research and Public Health, 15(1), 92.  [Google Scholar]
  129. Salehan, M. & Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 29 (6), 2632-2639. [Google Scholar]
  130. Samaha, M. & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321-325. [Google Scholar]
  131. Sansone, R.A. & Sansone, L.A. (2013). Cell phones the psychosocial risks. Clin Neurosci, 10 (1), 33-37. [Google Scholar]
  132. Schermelleh-Engel, K., Moosbrugger, H. & Müller, H. (2003). Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures. Methods of Psychological Research, 8 (2), 23–74. [Google Scholar]
  133. Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A. & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99 (6), 323-338. [Google Scholar] [Crossref] 
  134. Semerci, A. (2019).  Nomophobia as the predictor of secondary school students’ smartphone addiction. Bartın University Journal of Faculty of Education, 8 (3), 947-965. [Google Scholar] [Crossref] 
  135. Sha, L., Looi, C. K., Chen, W., Seow, P. & Wong, L. H. (2012). Recognizing and measuring self-regulated learning in a mobile learning environment. Computers in Human Behavior, 28 (2), 718-728. [Google Scholar] [Crossref] 
  136. Shahrestanaki, E., Maajani, K., Safarpour, M., Ghahremanlou, H. H., Tiyuri, A. & Sahebkar, M. (2020). The relationship between smartphone addiction and quality of life among students at Tehran University of Medical Sciences. The Turkish Journal on Additions, 7, 61-66. [Google Scholar] [Crossref] 
  137. Sharma, S. K. & Kitchens, F. L. (2004). Web services architecture for m-learning. Electronic Journal of eLearning, 2 (1), 203-216.  [Google Scholar]
  138. Shevlin, M. & Miles, J. N. V. (1998). Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences, 25 (1), 85–90. [Google Scholar] [Crossref] 
  139. Shih, J. L., Chuang, C. W. & Hwang, G. J. (2010). An inquiry-based mobile learning approach to enhancing social science learning effectiveness. Educational Technology & Society, 13 (4), 50-62. [Google Scholar]
  140. Shudong, W. & Higgins, M. (2005, November). Limitations of mobile phone learning. In Wireless and Mobile Technologies in Education, 2005. WMTE 2005. IEEE International Workshop on (pp. 3-pp). IEEE. [Google Scholar]
  141. Spitzer, M. (2015). M-Learning? When it comes to learning, smartphones are aliability, not an asset. Trends in Neuroscience & Education, 4, 87–89. [Google Scholar]
  142. Şata, M., Çorbacı, E. C., & Koyuncu, M. S. (2019). Mobil öğrenmeye hazırbulunuşluk ölçeği’nin uyarlanması: Geçerlik ve güvenirlik çalışması. Gazi Üniversitesi Eğitim Fakültesi Dergisi, 39 (3), 1513-1533. [Google Scholar]
  143. Şenel, S., Günaydın, S., Sarıtaş, M.T. & Çiğdem, H. (2019). Üniversite öğrencilerinin siber aylaklık seviyelerini yordayan faktörler. Kastamonu Eğitim Dergisi, 27 (1), 95-105. [Google Scholar] [Crossref] 
  144. Şumuer, E., Gezgin, D. M. & Yıldırım, S. (2018). Üniversite Öğrencilerinin Ders Sırasında Öğretim Amacı Dışında Mobil Telefon Kullanımına Etki Eden Faktörlerin İncelenmesi. Sakarya University Journal of Education, 8 (4), 7-19. [Google Scholar] [Crossref] 
  145. Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Education. [Google Scholar]
  146. Tavolacci, M. P., Meyrignac, G., Richard, L., Dechelotte, P. & Ladner, J. (2015). Problematic use of mobile phone and nomophobia among French college students. The European Journal of Public Health, 25(suppl 3), ckv172-088. [Google Scholar]
  147. 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. [Google Scholar] [Crossref] 
  148. Traxler, J. (2010). The learner experience of mobiles, mobility and connectedness. Background Paper to Presentation, 21, 13-14.  [Google Scholar]
  149. Trifonova, A. and Ronchetti, M. (2003). A general architecture for m-learning. Department of Informatics and Telecommunications. Povo (Trento). University of Trento. [Google Scholar]
  150. Trifonova, A., Georgieva, E. & Ronchetti, M. (2006). Determining students’ readiness for mobile learning. In Proceedings of the 5th WSEAS International Conference on E-ACTIVITIES (ELearning, E-Communities, ECommerce, E-Management, E-Marketing, E-Governance, Tele-Working) (E-ACTIVITIES’06), Venice, Italy. [Google Scholar]
  151. Ugrin, J., Odom, M. & Pearson, J. (2008). Exploring the importance of mentoring for newscholars: A social exchange perspective. Journal of Information Systems Education 19 (3), 343–350. [Google Scholar]
  152. Varol, F. & Yıldırım, E. (2017). Siberaylaklık: Yükseköğrenim ve mobil teknolojiler. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 13 (3), 1046-1057. [Google Scholar] [Crossref] 
  153. Walsh, S. P., & White, K. M. (2007). Me, my mobile, and I: The role of self‐and prototypical identity influences in the prediction of mobile phone behavior. Journal of Applied Social Psychology, 37(10), 2405-2434. [Google Scholar]
  154. Wurst, C., Smarkola, C. & Gaffney, M. A. (2008). Ubiquitous laptop usage in highereducation: Effects on student achievement, student satisfaction, and constructivist measures in honors and traditional classrooms. Computers & Education, 51 (4), 1766-1783. [Google Scholar] [Crossref] 
  155. Yaşar, S. & Yurdugül, H. (2013). The investigation of relation between cyberloafing activities and cyberloafing behaviors in higher education. Procedia-Social and Behavioral Sciences, 83, 600-604. [Google Scholar] [Crossref] 
  156. Yen, C. F., Tang, T. C., Yen, J. Y., Lin, H. C., Huang, C. F., Liu, S. C. & Ko, C. H. (2009). Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. Journal of Adolescence, 32 (4), 863–873. [Google Scholar] [Crossref] 
  157. 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. [Google Scholar] [Crossref] 
  158. Yildirim, C., Sumuer, E., Adnan, M. & Yildirim, S. (2016). A growing fear: Prevalence of nomophobia among Turkish college students. Information Development, 32 (5), 1322-1331. [Google Scholar] [Crossref] 
  159. Zwass, V. (2006). The internet and workplace transformation. Routlege [Google Scholar]