Based on Marker, Gnambs, & Appel, 2018, Educational Psychology Review
Different theoretical approaches have been used to link social media use and school grades
Moreover, scholars have argued that SNS behaviors likely reduce the quality and quantity of sleep.10 Cross-sectional data of young adults revealed an association between the duration and frequency of SNS use and sleep disturbance.11 Participants in the highest quartile of daily SNS activities (vs. participants in the lowest quartile) were about twice as likely to self-report sleep disturbances. Sleep, in turn, is a well-established predictor of scholastic achievement.12 SNS activities were related to increases in stress13, which would negatively affect sleep14, and stress is likely a direct predictor of impairments on demanding cognitive activities at home or at school.15
Depending on the theoretical perspective taken, the association between academic achievement and SNS activities could be negative or positive. These contradicting theoretical accounts are also reflected in the available research findings on the academic consequences of SNS use. Empirical research provided evidence for negative6 as well as positive22 and no associations23.
In our meta-analytical investigation24 we distinguished between three aspects of SNS use, general SNS use (such as time spent per day; frequency of posting with unspecified content), SNS use related to multitasking (e.g., using SNSs while studying), and SNS use connected to preparation and learning for school (e.g., using SNSs to communicate about school-related topics). Based on these three groups of activities, three separate meta-analyses were conducted. A fourth analysis examined the influence of SNS use on the time spent on studying (time displacement hypothesis).
We identified 50 publications reporting on 59 independent samples. Of these publications, 46 were included in the meta-analysis on general SNS use (55 samples), eight publications were included in the meta-analysis on multitasking SNS use (15 samples), and nine publications (ten samples) were included in the meta-analysis on using SNS use for academic purposes. In the included studies students typically answered questions about their use of SNSs with the help of paper-and-pencil questionnaires or through online surveys. In around two-thirds of the studies the students further reported on their academic success, with the large majority of surveys asking for GPA. In one third of the studies grades were obtained from school records.
The average association between achievement and general SNS use amounted to ρ̂ = −.07 indicating that overall SNS use was significantly, but weakly, associated with lower academic achievement. However, albeit significant, the respective correlation was rather small, following Cohen’s25 often-cited framework for interpreting effect sizes. Similar, in Hattie’s26 highly cited summary of meta-analyses on influences related to student achievement, effects up to r = .10 were well-below the average effect (r = .20) and were considered negligible, not worth wasting educators’ time.
Our meta-analytic assessment of the association between school grades and multitasking SNS activities showed an association in the negative direction (ρ̂ = −.10). In line with prior theory27, using SNSs for non-academic purposes at times of preparation and learning is related to lower school grades.
We identified a positive relationship between school-related SNS use and academic achievement (ρ̂ = .08). The more active students are in school-related SNS activities the better are their grades.
The average relationship between general SNS use and study time over ten independent samples was not statistically significant ρ̂ = -.03. General SNSs use is not associated with study time.
The more time is spent with social media for academic purposes, the higher are the grades, ρ̂ = .08. However, this relationship is small.
■ Social media use for academic purposes and grades
The more time is spent with social media, the lower are the grades, ρ̂ = -.07. However, this relationship is small.
■ General social media use and grades
The more time is spent multitasking with social media, the lower are the grades, ρ̂ = -.10 However, this relationship is small.
■ Multitasking SNS use and grades
Time spent studying is not related to time spent with social media, ρ̂ = -.03.
■ SNS use and time spent studying
To compare: The relationship between intelligence and academic achievement is larger, ρ̂ = .54. 28
■ Intelligence and grades
We conducted four meta-analyses on the relationship between SNS use and academic achievement. Our work underscores the notion that SNS use is positively associated with academic achievement as long as SNS use is school-related. This is in contrast to fears of many parents and teachers that the influence of SNS is inevitable detrimental for academic achievement. SNS use unrelated to school, however, was associated with poorer academic achievement. However, all correlations identified in these meta-analyses were rather weak, only a small part of students’ achievement at school and university co-varied with SNS use. A meta-analytic investigation of the time displacement hypothesis found no support for the assumption that the intensity of social media activities is associated with less time spent for studying. Despite the proliferation of SNSs in societies around the world, social networking activities appear to be only weakly related to academic achievement.
For the full scientific article click the following button:
1 Nie, N. H. (2001). Sociability, interpersonal relations, and the internet: reconciling conflicting findings. American Behavioral Scientist, 45, 420–435.
2 Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. New York: Touchstone. *Ravizza, S. M., Hambrick, D. Z., & Fenn, K. M. (2014). Non-academic internet use in the classroom is negatively related to classroom learning regardless of intellectual ability. Computers & Education, 78, 109–114.
3 Tokunaga, R. S. (2016). An examination of functional difficulties from internet use: media habit and displacement theory explanations. Human Communication Research, 42, 339–370.
4 Kirschner, P. A., & Karpinski, A. C. (2010). Facebook® and academic performance. Computers in Human Behavior, 26, 1237–1245.
5 Brubaker, E. V. (2014). The relationship between Facebook™ activity and academic performance among African American students. (Doctoral dissertation). Liberty University, Lynchburg. Retrieved from http://digitalcommons.liberty.edu/doctoral/664.
6 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, 1182–1192.
7 Ozer, I. (2014). Facebook addiction, intensive social networking site use, multitasking and academic performance among university students in the United States, Europe and Turkey: a multigroup structural equation modelling approach (Doctoral dissertation). Kent State University, Kent. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=kent1403276756.
8 van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R., & Valkenburg, P. M. (2015). The consequences of media multitasking for youth: a review. Computers in Human Behavior, 53, 204–215.
9 Wood, E., Zivcakova, L., Gentile, P., Archer, K., De Pasquale, D., & Nosko, A. (2012). Examining the impact of off-task multi-tasking with technology on real-time classroom learning. Computers & Education, 58, 365–374.
10 Chassiakos, Y. L. R., Radesky, J., Christakis, D., Moreno, M. A., & Cross, C. (2016). Children and adolescents and digital media. Pediatrics, e20162593.
11 Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2016). The association between social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41.
12 Dewald, J. F., Meijer, A. M., Oort, F. J., Kerkhof, G. A., & Bögels, S. M. (2010). The influence of sleep quality, sleep duration and sleepiness on school performance in children and adolescents: a meta-analytic review. Sleep Medicine Reviews, 14, 179–189.
13 Fox, J., & Moreland, J. J. (2015). The dark side of social networking sites: An exploration of the relational and psychological stressors associated with Facebook use and affordances. Computers in Human Behavior, 45, 168–176.
14 Pillai, V., Roth, T., Mullins, H. M., & Drake, C. L. (2014).Moderators and mediators of the relationship between stress and insomnia: stressor chronicity, cognitive intrusion, and coping. Sleep, 37, 1199–1208.
15 Kirschbaum, C., Wolf, O. T., May, M., & Wippich, W. (1996). Stress- and treatment-induced elevations of cortisol levels associated with impaired declarative memory in healthy adults. Life Sciences, 58, 1475–1483.
16 Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends”: social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12, 1143–1168.
17 Resnick, P. (2001). Beyond bowling together: sociotechnical capital. In J. Carroll (Ed.), HCI in the new millennium (pp. 647–672). New York: Addison Wesley.
18 Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, 95–120.
19 Eckles, J. E., & Stradley, E. G. (2012). A social network analysis of student retention using archival data. Social Psychology of Education, 15, 165–180.
20 Johnson, D. W. (1981). Student-student interaction: The neglected variable in education. Educational Research, 10, 5–10.
21 Yu, A., Tian, S., Vogel, D., & Kwok, R. (2010). Embedded social learning in online social networking. In ICIS 2010 Proceedings. Paper, 100. Retrieved from http://aisel.aisnet.org/icis2010_submissions/100.
22 Leung, L. (2015). A panel study on the effects of social media use and internet connectedness on academic performance and social support. International Journal of Cyber Behavior, Psychology and Learning, 5, 1–16.
23 Pasek, J., More, E., & Hargittai, E. (2009). Facebook and academic performance: reconciling a media sensation with data. First Monday, 14.
24 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, 651-677.
25 Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.
26 Hattie, J., & Marsh, H. W. (1996). The relationship between research and teaching: A meta-analysis. Review of educational research, 66, 507-542.
27 van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R., & Valkenburg, P. M. (2015). The consequences of media multitasking for youth: a review. Computers in Human Behavior, 53, 204–215.
28 Roth, B., Becker, N., Romeyke, S., Schäfer, S., Domnick, F., & Spinath, F. M. (2015). Intelligence and school grades: A meta-analysis. Intelligence, 53, 118-137.