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The effect of social networking site use on college students’ academic performance: the mediating role of student engagement

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Abstract

The widespread adoption of social networking sites among college students has motivated an increasing number of researchers to discern the relationship between social networking site use and academic performance. However, these studies mainly address the direct effect of social networking site use on academic performance, thus failing to identify and incorporate relevant explanatory mechanisms. The present study addresses this gap by examining the mediating role of student engagement in the relationship between social networking site use and academic performance. The study gathered pertinent data from a sample of college students (N = 180) by using a questionnaire, which measured social networking site use based on the number of hours students spent daily on six popular social networking sites, student engagement using a ten-item scale adapted from the literature, and academic performance using semester grade-point average. An empirical test of the mediation model using the PROCESS macro demonstrates that student engagement mediates the negative association between social networking site use and college students’ academic performance. This study contributes to the literature by documenting pioneering evidence of the mediating role of student engagement.

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References

  • Alhabash, S., & Ma, M. (2017). A tale of four platforms: Motivations and uses of Facebook, twitter, Instagram, and Snapchat among college students? Social media + society, 3(1), January–March, 1–13.

  • Alt, D. (2015). College students’ academic motivation, media engagement and fear of missing out. Computers in Human Behavior, 49, 111–119.

    Google Scholar 

  • Cao, X., Masood, A., Luqman, A., & Ali, A. (2018). Excessive use of mobile social networking sites and poor academic performance: Antecedents and consequences from stressor-strain outcome perspective. Computers in Human Behavior, 85, 163–174.

    Google Scholar 

  • Carini, R. M., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning: Testing the linkages. Research in Higher Education, 47(1), 1–32.

    Google Scholar 

  • Doleck, T., Bazelais, P., & Lemay, D. J. (2018). Social networking sites and academic performance: A generalized structured component approach. Journal of Educational Computing Research, 56(7), 1129–1148.

    Google Scholar 

  • Eid, M. I. M., & Al-Jabri, I. M. (2016). Social networking, knowledge sharing, and student learning: The case of university students. Computers and Education, 99, 14–27.

    Google Scholar 

  • Ellison, N., & Boyd, D. (2013). Sociality through social network sites. In W. Dutton (Ed.), The Oxford handbook of internet studies (pp. 151–172). Oxford: Oxford University Press.

    Google Scholar 

  • Facebook. (2019). Facebook reports fourth quarter and full year 2018 results. Retrieved from https://investor.fb.com/investor-news/press-release-details/2019/Facebook-Reports- Fourth-Quarter-and-Full-Year-2018-Results/default.aspx.

  • Felisoni, D. D., & Godoi, A. S. (2018). Cell phone usage and academic performance: An experiment. Computers and Education, 117, 175–187.

    Google Scholar 

  • Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.

    Google Scholar 

  • Fredricks, J. A., & McColskey, W. (2012). The measurement of student engagement: A comparative analysis of various methods and student self-report instruments. In S. Christenson, A. L. Reschy, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 319–339). New York: Springer.

    Google Scholar 

  • Fredricks, J. A., Wang, M., Schall Linn, J. S., Hofkens, T. L., Sung, H., Parr, A., & Allerton, J. (2016). Using qualitative methods to develop a survey measure of math and science engagement. Learning and Instruction, 43, 5–15.

    Google Scholar 

  • Furlong, M. J., & Christenson, S. L. (2008). Engaging students at school and with learning: A relevant construct for ALL students. Psychology in the Schools, 45(5), 365–368.

    Google Scholar 

  • 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.

    Google Scholar 

  • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Thousands (2nd ed.). Oak: SAGE.

    MATH  Google Scholar 

  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.

    Google Scholar 

  • Ifinedo, P. (2016). Applying uses and gratifications theory and social influence processes to understand students’ pervasive adoption of social networking sites: Perspectives from the Americas. International Journal of Information Management, 36(2), 192–206.

    Google Scholar 

  • Janosz, M. (2012). Commentary: Outcomes of engagement and engagement as an outcome: Some consensus, divergences and unanswered questions- part IV. In S. Christenson, A. L. Reschy, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 403–420). New York: Springer.

    Google Scholar 

  • Junco, R. (2012). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers and Education, 58(1), 162–171.

  • Junco, R. (2015). Student class standing, Facebook use, and academic performance. Journal of Applied Developmental Psychology, 36, 18–29.

    Google Scholar 

  • Junco, R., & Cotten, S. R. (2012). No A 4 U: The relationship between multitasking and academic performance. Computers and Education, 59, 505–514.

  • Kane, G. C., Alavi, M., Labianca, G., & Borgatti, S. P. (2014). What’s different about social media networks? A framework and research agenda. MIS Quarterly, 38(1), 274–304.

    Google Scholar 

  • Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68.

    Google Scholar 

  • Karpinski, A. C., Kirschner, P. A., Ozer, I., Mellott, J. A., & Ochwo, P. (2013). An exploration of social networking site use, multitasking, and academic performance among United States and European university students. Computers in Human Behavior, 29(3), 1182–1192.

    Google Scholar 

  • Krosnick, J. A., & Presser, S. (2010). Question and questionnaire design. In P. V. Marsden & D. W. James (Eds.), Handbook of survey research (2nd ed). Bingley, UK.

  • Kuh, G. D. (2009). What student affairs professionals need to know about student engagement. Journal of College Student Development, 50(6), 683–706.

    Google Scholar 

  • Lam, S., Wong, B. P. H., Yang, H., & Liu, Y. (2012). Understanding student engagement with a contextual model. In S. Christenson, A. L. Reschy, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 403–420). New York: Springer.

    Google Scholar 

  • Lampe, C., Wohn, D. Y., Vitak, J., Ellison, N. B., & Wash, R. (2011). Student use of Facebook for organizing collaborative classroom activities. Computer Supported Collaborative Learning, 6, 329–347.

    Google Scholar 

  • Lau, W. W. F. (2017). Effects of social media usage and social media multitasking on the academic performance of university students. Computers in Human Behavior, 68, 286–291.

    Google Scholar 

  • Lemay, D. J., Bazelais, P., & Doleck, T. (2020). Patterns of social networking use and academic performance: Examining the link between quality and frequency of social networking use and academic performance among college-level students. Education and Information Technologies.

  • Lepp, A, Barkley, J. E, & Karpinski, A. C. (2015). The relationship between cell phone use and academic performance in a sample of US college students. Sage Open, 5.

  • MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593–614.

    Google Scholar 

  • Macnamara, J., & Zerfass, A. (2012). Social media communication in organizations: The challenges of balancing openness, strategy and management. International Journal of Strategic Communication, 6(4), 287–308.

    Google Scholar 

  • Marker, C., Gnambs, T., & Appel, M. (2018). Active on Facebook and failing at school? Meta-analytic findings on the relationship between online social networking activities and academic achievement. Educational Psychology Review, 30(3), 651–677.

    Google Scholar 

  • Nie, N. H. (2001). Sociability, interpersonal relations, and the Internet: Reconciling conflicting findings. American Behavioral Scientist, 45, 420–435.

  • Ouirdi, M. E., El Ouirdi, A. E., Segers, J., & Henderickx, E. (2014). Social media conceptualization and taxonomy: A Lasswellian framework. Journal of Creative Communications, 9(2), 107–126.

    Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569.

    Google Scholar 

  • Skinner, E. A., & Pitzer, J. R. (2012). Developmental dynamics of student engagement, coping, and everyday resilience. In S. Christenson, A. L. Reschy, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 21–45). New York: Springer.

    Google Scholar 

  • Tokunaga, R. S. (2016). An examination of functional difficulties from Internet use: Media habit and displacement theory explanations. Human Communication Research, 42, 339–370.

  • Wang, M., Fredricks, J. A., Ye, F., Hofkens, T. L., & Linn, J. S. (2016). The math and science engagement scales: Scale development, validation, and psychometric properties. Learning and Instruction, 43, 16–26.

    Google Scholar 

  • Wang, Y., Niiya, M., Mark, G., Reich, S., & Warschauer, M. (2015). Coming of age (digitally): An ecological view of social media use among college students. CSCW’15, March 14–18, 2015, Vancouver, BC, Canada.

  • Zhang, Y., & Leung, L. (2015). A review of social networking service (SNS) research in communication journals from 2006 to 2011. New Media and Society, 17(7), 1007–1024.

    Google Scholar 

  • Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206.

    Google Scholar 

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  1. United Arab Emirates University, P.O.Box 15551, Al-Ain, United Arab Emirates

    Wondwesen Tafesse

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Tafesse, W. The effect of social networking site use on college students’ academic performance: the mediating role of student engagement. Educ Inf Technol 25, 4747–4763 (2020). https://doi.org/10.1007/s10639-020-10162-y

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