The Divergent Roles of Social Media in Adolescents’ Academic Performance

References

• Anderson, D. R., & Subrahmanyam, K. (2017). Digital screen media and cognitive development. Pediatrics, 140(Supplement 2), S57–S61. doi:10.1542/peds.2016-1758C
   PubMed Web of Science ®Google Scholar
• Baumgartner, S. E., Weeda, W. D., Van Der Heijden, L. L., & Huizinga, M. (2014). The relationship between media multitasking and executive function in early adolescents. The Journal of Early Adolescence, 34(8), 1120–1144. doi:10.1177/0272431614523133
   Web of Science ®Google Scholar
• Best, J. R., Miller, P. H., & Naglieri, J. A. (2011). Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learning and Individual Differences, 21(4), 327–336. doi:10.1016/j.lindif.2011.01.007
   PubMed Web of Science ®Google Scholar
• Błachnio, A., & Przepiorka, A. (2016). Dysfunction of self-regulation and self-control in Facebook addiction. Psychiatric Quarterly, 87(3), 493–500. doi:10.1007/s11126-015-9403-1
   PubMed Web of Science ®Google Scholar
• Boyd, D., & Ellison, N. B. (2008). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13, 210–230. doi:10.1111/j.1083-6101.2007.00393.x
   Web of Science ®Google Scholar
• Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York, NY: The Guilford Press.
   Google Scholar
• Carmines, E. G., & McIver, J. P. (1981). Analyzing models with unobserved variables. In G. W. Bohrnstedt & E. F. Borgatta (Eds.), Social measurement: Current issues (pp. 65–115). Beverly Hills, CA: Sage.
   Google Scholar
• Cerin, E., & MacKinnon, D. P. (2009). A commentary on current practice in mediating variable analyses in behavioural nutrition and physical activity. Public Health Nutrition, 12(8), 1182–1188. doi:10.1017/S1368980008003649
   PubMed Web of Science ®Google Scholar
• Correa, T., Hinsley, A. W., & de Zúñiga, H. G. (2010). Who interacts on the Web? The intersection of users’ personality and social media use. Computers in Human Behavior, 26(2), 247–253. doi:10.1016/j.chb.2009.09.003
   Web of Science ®Google Scholar
• Dalbudak, E., & Evren, C. (2014). The relationship of Internet addiction severity with attention deficit hyperactivity disorder symptoms in Turkish university students: Impact of personality traits, depression and anxiety. Comprehensive Psychiatry, 55(3), 497–503. doi:10.1016/j.comppsych.2013.11.018
   PubMed Web of Science ®Google Scholar
• Datu, J. A. D., Yang, W., Valdez, J. P. M., & Chu, S. K. W. (2018). Is Facebook involvement associated with academic engagement among Filipino university students? A cross-sectional study. Computers and Education, 125(March2017), 246–253. doi:10.1016/j.compedu.2018.06.010
   Web of Science ®Google Scholar
• Doleck, T., Bazelais, P., & Lemay, D. J. (2018). Social networking and academic performance: A generalized structured component approach. Journal of Educational Computing Research, 56(7), 1129–1148. doi:10.1177/0735633117738281
   Web of Science ®Google Scholar
• Duckworth, A. L., & Kern, M. L. (2011). A meta-analysis of the convergent validity of self-control measures. Journal of Research in Personality, 45(3), 259–268. doi:10.1016/j.jrp.2011.02.004
   PubMed Web of Science ®Google Scholar
• 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. doi:10.1016/j.chb.2014.11.083
   Web of Science ®Google Scholar
• Gan, B., Menkhoff, T., & Smith, R. (2015). Enhancing students’ learning process through interactive digital media: New opportunities for collaborative learning. Computers in Human Behavior, 51, 652–663. doi:10.1016/j.chb.2014.12.048
   Web of Science ®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. doi:10.1016/j.chb.2017.12.041
   Web of Science ®Google Scholar
• Greenhow, C., & Lewin, C. (2016). Social media and education: Reconceptualizing the boundaries of formal and informal learning. Learning, Media and Technology, 41(1), 6–30. doi:10.1080/17439884.2015.1064954
   Web of Science ®Google Scholar
• Gu, X., & Xu, H. (2018). Missing piece in understanding student learning: Out-of-school computer use. Journal of Educational Computing Research. doi:10.1177/0735633118755494
   Web of Science ®Google Scholar
• He, Q., Turel, O., & Bechara, A. (2017). Brain anatomy alterations associated with social networking site (SNS) addiction. Scientific Reports, 7(1), 45064. doi:10.1038/srep45064
   PubMed Web of Science ®Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Hu, X., Gong, Y., Lai, C., & Leung, F. K. S. (2018). The relationship between ICT and student literacy in mathematics, reading, and science across 44 countries: A multilevel analysis. Computers & Education, 125(June), 1–13. doi:10.1016/j.compedu.2018.05.021
   Web of Science ®Google Scholar
• Huang, C. (2018). Social network site use and academic achievement: A meta-analysis. Computers & Education, 119, 76–83. doi:10.1016/j.compedu.2017.12.010
   Web of Science ®Google Scholar
• Ito, M., Baumer, S., Bittanti, M., Boyd, D., Herr-Stephenson, B., Horst, H. A., … Tripp, L. (2010). Hanging out, messing around and geeking out: Kids living and learning with new media. London, England: The MIT Press.
   Google Scholar
• Jackson, L. A., Von Eye, A., Fitzgerald, H. E., Witt, E. A., & Zhao, Y. (2011). Internet use, videogame playing and cell phone use as predictors of children’s body mass index (BMI), body weight, academic performance, and social and overall self-esteem. Computers in Human Behavior, 27(1), 599–604. doi:10.1016/j.chb.2010.10.019
   Web of Science ®Google Scholar
• Junco, R. (2012a). In-class multitasking and academic performance. Computers in Human Behavior, 28(6), 2236–2243. doi:10.1016/j.chb.2012.06.031
   Web of Science ®Google Scholar
• Junco, R. (2012b). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, 58(1), 162–171. doi:10.1016/j.compedu.2011.08.004
   Web of Science ®Google Scholar
• Junco, R., Heiberger, G., & Loken, E. (2011). The effect of Twitter on college student engagement and grades. Journal of Computer Assisted Learning, 27(2), 119–132. doi:10.1111/j.1365-2729.2010.00387.x
   Web of Science ®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. doi:10.1016/j.bushor.2009.09.003
   Web of Science ®Google Scholar
• Karpinski, A. C., Kirschner, P. A., Ozer, I., Mellott, J. A., & Ochwo, P. (2012). 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. doi:10.1016/j.chb.2012.10.011
   Web of Science ®Google Scholar
• Kirschner, P. A., & Karpinski, A. C. (2010). Facebook and academic performance. Computers in Human Behavior, 26(6), 1237–1245. doi:10.1016/j.chb.2010.03.024
   Web of Science ®Google Scholar
• Kuhlemeier, H., & Hemker, B. (2007). The impact of computer use at home on students’ Internet skills. Computers & Education, 49(2), 460–480. doi:10.1016/j.compedu.2005.10.004
   Web of Science ®Google Scholar
• Lee, Y., Chang, C., Lin, Y., & Cheng, Z. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31, 373–383. doi:10.1016/j.chb.2013.10.047
   Web of Science ®Google Scholar
• Lenhart, A., & Madden, M. (2005). Teen content creators and consumers. Retrieved from http://www.citeulike.org/user/davidbrake/article/2966257
   Google Scholar
• Lenhart, A., Purcell, K., Smith, A., & Zickuhr, K. (2010). Social media & mobile internet use among teens and young adults. Retrieved from http://www.pewinternet.org/Reports/2010/Social-Media-and-Young-Adults/Summary-of-Findings.aspx
   Google Scholar
• Lips, M., Eppel, E., McRae, H., Starkey, L., Sylvester, A., Parore, P., & Barlow, L. (2017). Understanding children’s use and experience with digital technologies final research report. Retrieved from https://www.victoria.ac.nz/__data/assets/pdf_file/0003/960177/Understanding-children-use-and-experience-of-digital-technologies-2017-v2.pdf
   Google Scholar
• Lu, J., Hao, Q., & Jing, M. (2016). Consuming, sharing, and creating content: How young students use new social media in and outside school. Computers in Human Behavior, 64, 55–64. doi:10.1016/j.chb.2016.06.019
   Web of Science ®Google Scholar
• Lu, J., Jing, M., & Hao, Q. (2017, April). Adolescent social media behavior, personality factors and academic performance: A path analysis. Paper presented at American Education Research Association Annual Meeting, San Antonio, TX.
   Google Scholar
• Lu, J., Luo, J., Liang, L., & Jing, M. (2018). Measuring adolescents’ social media behavior outside and inside of school: Development and validation of two scales. Journal of Educational Computing Research, 1–23. doi:10.1177/0735633118786851
   Web of Science ®Google Scholar
• Luckin, R., Clark, W., Graber, R., Logan, K., Mee, A., & Oliver, M. (2009). Do Web 2.0 tools really open the door to learning? Practices, perceptions and profiles of 11–16-year-old students. Learning, Media and Technology, 34(2), 87–104. doi:10.1080/17439880902921949
   Web of Science ®Google Scholar
• Luo, J., & Liang, L. (2018). Exploring the relationships among university students’ media multitasking, personality and academic performance: A quantitative study. International Scientific Conference: Lodging the Theory in Social and Educational Practice (pp. 1–10). Retrieved from https://goo.gl/RbjvjH
   Google Scholar
• Luo, J., Sun, M., Yeung, P., & Li, H. (2018). Development and validation of a scale to measure media multitasking among adolescents: Results from China. Children and Youth Services Review, 95(12), 377–383. doi:10.1016/j.childyouth.2018.10.044
   Web of Science ®Google Scholar
• Mao, J. (2014). Social media for learning: A mixed methods study on high school students’ technology affordances and perspectives. Computers in Human Behavior, 33, 213–223. doi:10.1016/j.chb.2014.01.002
   Web of Science ®Google Scholar
• Mayshak, R., Sharman, S. J., & Zinkiewicz, L. (2016). The impact of negative online social network content on expressed sentiment, executive function, and working memory. Computers in Human Behavior, 65(December), 402–408. doi:10.1016/j.chb.2016.09.002
   Web of Science ®Google Scholar
• Mega, C., Ronconi, L., & De Beni, R. (2014). What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. Journal of Educational Psychology, 106(1), 121–131. doi:10.1037/a0033546
   Web of Science ®Google Scholar
• Nikkelen, S. W. C., Valkenburg, P. M., Huizinga, M., & Bushman, B. J. (2014). Media use and ADHD-related behaviors in children and adolescents: A meta-analysis. Developmental Psychology, 50(9), 2228–2241. doi:10.1037/a0037318
   PubMed Web of Science ®Google Scholar
• Obar, J. A., & Wildman, S. (2015). Social media definition and the governance challenge: An introduction to the special issue. Telecommunications Policy, 39(9), 745–750. doi:10.1016/j.telpol.2015.07.014
   Web of Science ®Google Scholar
• Patton, G. C., & Sawyer, S. M. (2016). Media and young minds. Pediatrics, 173(11–12), 570–571. doi:10.1542/peds.2016-2591
   Web of Science ®Google Scholar
• 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. doi:10.1016/j.chb.2012.06.016
   Web of Science ®Google Scholar
• Radesky, J. S., Schumacher, J., & Zuckerman, B. (2015). Mobile and interactive media use by young children: The good, the bad, and the unknown. Pediatrics, 135(1), 1–3. doi:10.1542/peds.2014-2251
   PubMed Web of Science ®Google Scholar
• Rideout, V. (2015). The common sense census: Media use by tweens and teens. Common Sense Media. Retrieved from https://www.commonsensemedia.org/research/the-common-sense-census-media-use-by-tweens-and-teens
   Google Scholar
• Russell, D. W., Pitts, B., Chapman, P. L., Haley, J. A., & Hospital, V. (2017). Retrospective appraisals of threat and benefit mediate the effects of combat experiences on mental health outcomes in army medics. Military Behavioral Health, 1–9. doi:10.1080/21635781.2017.1401967
   Google Scholar
• Samuels, W. E., Tournaki, N., Blackman, S., & Zilinski, C. (2016). Executive functioning predicts academic achievement in middle school: A four-year longitudinal study. The Journal of Educational Research, 109(5), 478–490. doi:10.1080/00220671.2014.979913
   Web of Science ®Google Scholar
• Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers & Education, 62, 24–31. doi:10.1016/j.compedu.2012.10.003
   Web of Science ®Google Scholar
• Selwyn, N. (1998). The effect of using a home computer on students’ educational use of IT. Computers & Education, 31, 211–227. doi:10.1016/S0360-1315(98)00033-5
   Web of Science ®Google Scholar
• Seo, D. G., Park, Y., Kim, M. K., & Park, J. (2016). Mobile phone dependency and its impacts on adolescents’ social and academic behaviors. Computers in Human Behavior, 63, 282–292. doi:10.1016/j.chb.2016.05.026
   Web of Science ®Google Scholar
• Short, M. A., Gradisar, M., Lack, L. C., & Wright, H. R. (2013). The impact of sleep on adolescent depressed mood, alertness and academic performance. Journal of Adolescence, 36(6), 1025–1033. doi:10.1016/j.adolescence.2013.08.007
   PubMed Web of Science ®Google Scholar
• Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental Cognitive Neuroscience, 17, 103–117. doi:10.1016/j.dcn.2015.12.010
   PubMed Web of Science ®Google Scholar
• Spinella, M. (2007). Normative data and a short form of the Barratt Impulsiveness Scale. International Journal of Neuroscience, 117(3), 359–368. doi:10.1080/00207450600588881
   PubMed Web of Science ®Google Scholar
• The Statistics Portal. (2017). Hong Kong: Social network penetration Q4 2016. Retrieved from https://www.statista.com/statistics/412500/hk-social-network-penetration/
   Google Scholar
• Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28(1), 78–106. doi:10.1016/j.dr.2007.08.002
   PubMed Web of Science ®Google Scholar
• ter Hoeven, C. L., & van Zoonen, W. (2015). Flexible work designs and employee well-being: Examining the effects of resources and demands. New Technology, Work and Employment, 30(3), 237–255. doi:10.1111/ntwe.12052
   Web of Science ®Google Scholar
• Tsukayama, E., Duckworth, A. L., & Kim, B. (2013). Domain-specific impulsivity in school-age children. Developmental Science, 16(6), 879–893. doi:10.1111/desc.12067
   PubMed Web of Science ®Google Scholar
• Wallis, C. (2010). The impacts of media multitasking on children’s learning and development: Report from a research seminar. New York, NY: The Joan Ganz Cooney Center at Sesame Workshop.
   Google Scholar
• Wammes, J. D., Ralph, B. C. W., Mills, C., Bosch, N., Duncan, T. L., & Smilek, D. (2018). Disengagement during lectures: Media multitasking and mind wandering in university classrooms. Computers & Education, 132, 76–89. doi:10.1016/j.compedu.2018.12.007
   Web of Science ®Google Scholar
• Wang, S. K., Hsu, H. Y., Campbell, T., Coster, D. C., & Longhurst, M. (2014). An investigation of middle school science teachers and students use of technology inside and outside of classrooms: Considering whether digital natives are more technology savvy than their teachers. Educational Technology Research and Development, 62(6), 637–662. doi:10.1007/s11423-014-9355-4
   Web of Science ®Google Scholar
• Woods, H. C., & Scott, H. (2016). #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51(June), 41–49. doi:10.1016/j.adolescence.2016.05.008
   PubMed Web of Science ®Google Scholar
• Wu, A. M. S., Cheung, V. I., Ku, L., & Hung, E. P. W. (2013). Psychological risk factors of addiction to social networking sites among Chinese smartphone users. Journal of Behavioral Addictions, 2(3), 160–166. doi:10.1556/JBA.2.2013.006
   PubMed Web of Science ®Google Scholar
• Wu, D. (2008). Pratt’s importance measures in factor analysis: A new technique for interpreting oblique factor models. Vancouver, Canada: The University of British Columbia.
   Google Scholar
• Yang, X., Xu, X., & Zhu, L. (2015). Media multitasking and psychological wellbeing in Chinese adolescents: Time management as a moderator. Computers in Human Behavior, 53, 216–222. doi:10.1016/j.chb.2015.06.034
   Web of Science ®Google Scholar
• Zhang, W. (2015). Learning variables, in-class laptop multitasking and academic performance: A path analysis. Computers & Education, 81, 82–88. doi:10.1016/j.compedu.2014.09.012
   Web of Science ®Google Scholar