The Impact of Smartphone Addiction on Academic Performance of Higher Education Students

Mukhdoomi, Arooba and Farooqi, Asma and Attaullah Khan, Tabbassum and Ajmal, Warisha and Tooba, Zorain (2020): The Impact of Smartphone Addiction on Academic Performance of Higher Education Students.

Abstract

The study aims to investigate the impact of smart phones addiction on academic performance of college students. For the purpose, we have used “Theory of Planned Behavior (TPB)” in investigating the academic performance. Moreover, the study also emphasized that whether smart phone self-efficacy, interaction competency and behavioral intention influences the academic performance of college students in positive way and negative way using that TPB model, data are collected from the students of Iqra University north campus using quantitative research. In this research we have used correlation design because we have studied relationship between Smartphone self-efficacy (SSE), interaction competency (IC), behavioral intention (BI) and Academic performance (AA). This design tells us how much independent variables (SSE, IC and BI) impact on dependent variable (AA). From the finding we came to know that there is a positive relationship between behavioral intention and academic performance. This proves that until and unless students are not intrinsically motivated, they cannot use smart phone in a positive way…… The limitation of the study is; the study is carried out by the students of university due to limited time period. Moreover, time constrains also act as a barrier in collecting many responses. Hence, the sample size might not be appropriate to increase the generalizability of this paper. Therefore, the study can’t apply on other regions. Furthermore, more variables should be taken into consideration to examine the overall Smartphone impact in a holistic way.

• Item Type: MPRA Paper
• Language: English
• Keywords: Holistic study, Academic performance, Smartphone Self-efficacy, Interaction competency and Behavioral intention.
• Subjects: I - Health, Education, and Welfare > I2 - Education and Research Institutions; I - Health, Education, and Welfare > I2 - Education and Research Institutions > I23 - Higher Education ; Research Institutions; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M0 - General; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M1 - Business Administration

References

Ali, M., Puah, C. H., Ayob, N., & Raza, S. A. (2019). Factors influencing tourist’s satisfaction, loyalty and word of mouth in selection of local foods in Pakistan. British Food Journal.

Ali, M., Raza, S. A., Qazi, W., & Puah, C. H. (2018). Assessing e-learning system in higher education institutes. Interactive Technology and Smart Education.

Aljomaa, S. S., Al.qudah, M. F., Albursan, I. S., Bakhiet, S. F., & Abduljabbar, A. S. (2016). Smartphone addiction among university students in the light of some variables. Computers in Human Behavior, 61, 155–164.

Beranuy, M., Oberst, U., Carbonell, X., & Chamarro, A. (2009). Problematic Internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence. Computers in Human Behavior, 25(5), 1182–1187.

Boumosleh, J., & Jaalouk, D. (2017b). Smartphone Addiction among University Students and Its Relationship with Academic Performance. Global Journal of Health Science, 10(1), 48.

Chiu, S.-I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-Efficacy and social self-Efficacy. Computers in Human Behavior, 34, 49-57.

Fonseca, D., Martí, N., Redondo, E., Navarro, I., & Sánchez, A. (2014). Relationship between student profile, tool use, participation, and academic performance with the use of Augmented Reality technology for visualized architecture models. Computers in Human Behavior, 31, 434–445.

Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T., & Çevik, Y. D. (2016). Modeling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyber loafing in university students. Computers in Human Behavior, 63, 639–649.

Hawi, N. S., & Samaha, M. (2016). To excel or not to excel: Strong evidence on the adverse effect of Smartphone addiction on Academic performance. Computers & Education, 98, 81–89.

Honicke, T., & Broadbent, J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educational Research Review, 17, 63–84.

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(6), 2152–2159.

Janković, B., Nikolić, M., Vukonjanski, J., & Terek, E. (2016). The impact of Facebook and smart phone usage on the leisure activities and college adjustment of students in Serbia. Computers in Human Behavior, 55, 354–363.

Lee, J., Cho, B., Kim, Y., & Noh, J. (2014) Smartphone Addiction in University Students and Its Implication for Learning. Emerging Issues in Smart Learning, 297–305

Lepp, A., Barkley, J.E., & Karpinski, A. C. (2014) The relationship between cell phone use, Academic performance, anxiety, satisfaction with life in college students. Computer in Human Behavior, 31, 343-350.

Li, Y., Duan, Y., Fu, Z., & Alford, P. (2011). An empirical study on behavioral intention to reuse e-learning systems in rural China. British Journal of Educational Technology, 43(6), 933–948.

May, K. E., & Elder, A. D. (2018). Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance. International Journal of Educational Technology in Higher Education, 15(1).

Nayak, J. K. (2018). Relationship among smartphone usage, addiction, academic performance and the moderating role of gender: A study of higher education students in India. Computer & Education, 123, 164-173.

Paul, J. A., Baker, H. M., & Cochran, J. D. (2012). Effect of online social networking on student academic performance. Computers in Human Behavior, 28(6), 2117–2127.

Qazi, W., Raza, S. A., & Khan, K. A. (2020). The contradiction between self-protection and self-presentation on knowledge sharing behaviour: evidence from higher education students in Pakistan. International Journal of Knowledge and Learning, 13(3), 246-271.

Qazi, W., Qureshi, J. A., Raza, S. A., Khan, K. A., & Qureshi, M. A. (2020). Impact of personality traits and university green entrepreneurial support on students' green entrepreneurial intentions: the moderating role of environmental values. Journal of Applied Research in Higher Education.

Rabiu, H., Muhammed, A. I., Umaru, Y., & Ahmed, H. T. (2016). Impact Of Mobile Phone Usage On Academic Performance Among Secondary School Students In Taraba State, Nigeria. European Scientific Journal, ESJ, 12(1), 466.

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.

Raza, S. A., Ahmed, R., Ali, M., & Qureshi, M. A. (2019). Influential factors of Islamic insurance adoption: an extension of theory of planned behavior. Journal of Islamic Marketing.

Raza, S.A., Qazi, W. and Yousufi, S.Q. (2020), "The influence of psychological, motivational, and behavioral factors on university students' achievements: the mediating effect of academic adjustment", Journal of Applied Research in Higher Education, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JARHE-03-2020-0065

Raza, S. A., Qazi, W., Shah, N., Qureshi, M. A., Qaiser, S., & Ali, R. (2020). Drivers of intensive Facebook usage among university students: an implications of U&G and TPB theories. Technology in Society, 62, 101331.

Raza, S. A., Umer, A., Qureshi, M. A., & Dahri, A. S. (2020). Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model. The TQM Journal.

Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2020). Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model. Journal of Educational Computing Research, 0735633120960421.

Raza, S. A., Qazi, W., Umer, B., & Khan, K. A. (2020). Influence of social networking sites on life satisfaction among university students: a mediating role of social benefit and social overload. Health Education.

Samaha, M., & HAWI, n. s. (2016). Relationships among smartphone addiction, stress, Academic performance, and satisfaction with life. Computer in Human Behavior, 57, 321-325.

Salavona, M., Schaufeli, W., Martínez, I., & Bresó, E. (2010). How obstacles and facilitators predict academic performance: the mediating role of study burnout and engagement. Anxiety, Stress & Coping, 23(1), 53–70.

Wentworth, D. K., & Middleton, J. H. (2014). Technology use and academic performance. Computers & Education, 78, 306–311.

Yang, Z., Asbury, K., & Griffiths, M. D. (2018). An Exploration of Problematic Smartphone Use among Chinese University Students: Associations with Academic Anxiety, Academic Procrastination, Self-Regulation and Subjective Wellbeing. International Journal of Mental Health and Addiction, 17(3), 596–614.

Yi, Y. J., You, S., & Bae, B. J. (2016). The influence of smartphones on academic performance. Library Hi Tech, 34(3), 480–499.