The Influence of Smartphone Use on Academic Performance Among Indonesian University Students

Morissan .

Abstract


University students use smartphones at every opportunity including in the lecture hall when they’re attending courses. This study hypothesizes that there is a significant influence of smartphone use on academic performance. However, in assessing the influence, several other variables need to be considered such as gender, smoking habits, self-efficacy, academic efficacy, and romantic relationships. The sample of this study was students (N = 582) who were domiciled in Jakarta and surrounding areas (Jabodetabek). All analyses were carried out using SPSS through the following steps. First, the independent sample t-test and ANOVA were performed to examine the academic performance differences on three predictors: (1) sex, (2) smoking habit, and (3) romantic relationship. Second, hierarchical multiple regression was used to answer the research question whether or not there was a significant influence of smartphone use on academic performance by controlling the overall predictor variable? The results show that among smartphone user students, the female group showed better academic performance, as did students without romantic partners, and did not smoke. Calculation with multiple hierarchical regression shows that among all predictors examined, smoking behaviour is the most significant moderator variable in influencing academic performance (β = -0.22, p<0.001), followed by cellphone use (β = 0.14, p<0.001).

 

Keywords: Academic performance, smartphone, students, university, Indonesia.


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References


Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37 (2), 122-147.

Betts, J. R., & Morell, D. (1999). The determinants of undergraduate grade point average: The relative importance of family background, high school resources, and peer group effects. Journal of Human Resources, 34(2), 268–293.

Billieux, J., Linden, M.., & Rochat, L. (2008) The role of impulsivity in actual and problematic use of the mobile phone. Applied Cognitive Psychology, 22, 1195–1210.

Bull, P., & McCormick, C. (2012). Mobile learning: Integrating text messaging into a community college pre-algebra course. International Journal on E-Learning, 11, 233-245.

Frangos, C., Frangos, C., & Sotiropoulos, I. (2011) Problematic internet use among Greek university students: An ordinal logistic regression with risk factors’ negative psychological beliefs, pornographic sites and online games. Cyberpsychology, Behavior, and Social Networking, 14, 51–58.

Furman, W., & Shaffer, L. (2003). The role of romantic relationships in adolescent devel- opment. In P. Florsheim (Ed.), Adolescent romantic relations and sexual behavior: Theory, research, and practical implications (pp. 3–22). Mahwah, NJ: Erlbaum.

Gafoor, K. A. (2007). Academic self efficacy scale (Thesis PhD, University of Calicut).

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. https://doi.org/10.1111/jcal.12306

Hong, F. Y., Chiu, S. I., & Hong, 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.

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, 275-280.

Jeong, S. H., Kim, H. J., & Yum, J. Y. (2016) What type of content are smartphone users addicted to? SNS vs. games. Computers in Human Behavior, 54, 10–17.

Junco, R., & Cotton, S. R. (2012). The relationship between multitasking and academic performance. Computers & Education, 59, 505-514. Http://dx.doi.org/10.1016/j.compedu.2011.12.023

Kibona, L., & Mgaya, G. (2015). Smartphones’ effects on academic performance of higher learning students: A case of Ruaha Catholic University Iringa, Tanzania. Journal of Multidisciplinary Engineering Science and Technology, 2(4), 777-784. http://www.jmest.org/wp-content/uploads/JMESTN42350643.pdf

Lam, L. T., Peng, Z.-W., Mai, J.-C., & Jing, J. (2009) Factors associated with internet addiction among adolescents. CyberPsychology and Behavior, 12(5), 551–555.

Lekawael, R. F. J. (2017). The impact of smartphone and internet usage on English language learning. English Review: Journal of English Education, 5(2), 255–262. https://doi.org/10.25134/erjee.v5i2.540

Lemish, D., & Cohen, A. A. (2005) On the gendered nature of mobile phone culture in Israel. Sex Roles, 52, 511–521.

Lepp, A., Barkley, J. E., Sanders, G. J., Rebold, M., & Gates, P. (2013). The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. International Journal of Behavioral Nutrition and Physical Activity, 10, Article 79. Retrieved from http://www.ijbnpa.org/content/10/1/79

Lepp, A., Li, J., & Barkley, J. (2015). Exploring the relationships between college students’ cell phone use, personality and leisure. Computers in Human Behavior, 43, 210–219.

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. https://doi.org/10.1177/2158244015573169

Levine, L. E., Waite, B. M., & Bowman, L. L. (2007). Electronic media use, reading, and academic distractibility in college youth. Cyber Psychology and Behavior, 10, 560-566.

Liu, C. H., Lin, S. H., Pan, Y. C., Lin, Y. H. (2016) Smartphone gaming and frequent use pattern associated with smartphone addiction. Medicine, 95(28), e4068.

Manning, W. D., Giordano, P. C., Longmore, M. A., & Hocevar, A. (2009). Romantic relationships and academic/career trajectories in early adulthood. Bowling Green, OH: The Center for Family and Demographic Research, Bowling Green University.

Maryani, E., Rahmawan, D., & Karlinah, S (2020). The Implications of Social Media on Local Media Business: Case Studies in Palembang, Manado and Bandung. Jurnal Komunikasi: Malaysian Journal of Communication, 36(1), 317-333. https://doi.org/10.17576/JKMJC-2020-3601-18

Multon, K. D., Brown, S. D., & Lent, R. W. (1991). Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation. Journal of Counseling Psychology, 1, 30-38.

Nazilah Ahmad@Ahmad Arifin, Umi Asma’ Mokhtar, Zaihosnita Hood, Sabrina Tiun, & Dian Indrayani Jambari. (2019). Parental awareness on cyber threats using social media. Jurnal Komunikasi: Malaysian Journal of Communication, 35(2), 485-498.

Neemann, J., Hubbard, J., & Masten, A. S. (1995). The changing importance of romantic relationship involvement to competence from late childhood to late adolescence. Development and Psychopathology, 7(4), 727–750.

Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012) Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 161(1), 105–114.

Pajares, F. (1996). Self-efficacy in academic settings. Review of Educational Research, 66, 543-578.

Park, N., & Lee, H. (2012) Social implications of smartphone use: Korean college students’ smartphone use and psycho-logical well-being. Journal of Behavioral Addictions, 4(2), 85–92.

Putra, H. S., Rosemary, R., Yanuar, D., & Ahsan, A. (2020). The wffect of cigarette advertising on smoking behaviour of students in Banda Aceh City, Indonesia. Jurnal Komunikasi: Malaysian Journal of Communication, 36(2), 348-363. https://doi.org/10.17576/JKMJC-2020-3602-21

Rees, H., & Noyes, J. M. (2007) Mobile telephones, computers, and the internet: Sex differences in adolescents’ use and attitudes. CyberPsychology and Behavior, 10, 482–484.

Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261.

Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J. (2013). The media and technology usage and attitudes scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501-2511. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/25722534

Sanchez-Martinez, M., & Otero, A. (2009). Factors associated with cell phone use in adolescents in the community of Madrid (Spain). Cyberpsychology and Behavior, 12(2), 131-137.

Schunk, D. H. (1984). The self-efficacy perspective on achievement behavior. Education Psychologist, 19, 119-218.

Schunk, D. H. (1989). Social cognitive theory and self-regulated learning. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theory, research and practice (pp. 83-110). New York, NY: Springer Verlag.

Tao, Y., & Yeh, C. R. (2013). Transforming the personal response system to a cloud voting service. In S. Uesugi (Ed.), IT enabled services (pp. 139-156). Verlag, Austria: Springer.

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, 1-9.

Ting, S.-M. R., & Robinson, T. L. (1998). First-year academic success: A prediction combining cognitive and psychosocial variables for Caucasian and African American students. Journal of College Student Development, 39(6), 599–610.

Torrecillas, L. (2007) Mobile phone addiction in teenagers may cause severe psychological disorder. Medical Studies, 14, 11–13.

Tsitsika, A., Critselis, E., Kormas, G., Konstantoulaki, E., Constantopoulos, A., & Kafetzis, D. (2009). Adolescent pornographic internet site use: A multivariate regression analysis of the predictive factors of use and psychosocial implications. CyberPsychology and Behavior, 12, 545–550.

Usher, E. L., & Pajares, F. (2008). Self-efficacy for self-regulated learning a validation study. Educational and Psychological Measurement, 68(3), 443-463. https://doi.org/10.1177/0013164407308475

Walpole, M. (2003). Socioeconomic status and college: How SES affects college experiences and outcomes. The Review of Higher Education, 27(1), 45–73.

Walsh, S. P., White, K. M., Cox, S., & Young, R. McD. (2011). Keeping in constant touch: The predictors of young Australians’ mobile phone involvement. Computers in Human Behavior, 27, 333–342.

Ybarra, M., & Mitchell, K. J. (2005) Exposure to internet pornography among children and adolescents: A national survey. CyberPsychology and Behavior, 8, 473–486.


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