Academic Influence of Social Network Sites on the Collegiate Performance of Technical College Students
Authors: Jameson McFarlane, Thorne J. McFarlane, Leon Bernard
Abstract:
Social network sites (SNS) is an emerging phenomenon that is here to stay. The popularity and the ubiquity of the SNS technology are undeniable. Because most SNS are free and easy to use people from all walks of life and from almost any age are attracted to that technology. College age students are by far the largest segment of the population using SNS. Since most SNS have been adapted for mobile devices, not only do you find students using this technology in their study, while working on labs or on projects, a substantial number of students have been found to use SNS even while listening to lectures. This study found that SNS use has a significant negative impact on the grade point average of college students particularly in the first semester. However, this negative impact is greatly diminished by the end of the third semester partly because the students have adjusted satisfactorily to the challenges of college or because they have learned how to adequately manage their time. It was established that the kinds of activities the students are engaged in during the SNS use are the leading factor affecting academic performance. Of those activities, using SNS during a lecture or while studying is the foremost contributing factor to lower academic performance. This is due to “cognitive” or “information” bottleneck, a condition in which the students find it very difficult to multitask or to switch between resources leading to inefficiency in information retention and thus, educational performance.
Keywords: Social network sites, social network analysis, regression coefficient, psychological engagement.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1130917
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[1] N. B. Ellison, “Social Network Sites: Definition, History, and Scholarship.”
[2] S. Griffith, “An introduction to the potential of social networking sites in education,” Emerg. Technol. Conf. 2008, no. June, pp. 18–21, 2008.
[3] N. Johnson, “The Top 15 Most Popular Social-Media Sites in 2016 (Infographic),” Plugingroup, 2016. (Online). Available: https://plugingroup.com/top-15-popular-social-media-sites-november-2016/. (Accessed: 06-Feb-2017).
[4] M. Duggan, D. Page, and S. C. Manager, “Social Media Update 2016,” Pew Res. Cent., no. November, 2016.
[5] R. Junco, “The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement,” Comput. Educ., vol. 58, no. 1, pp. 162–171, 2012.
[6] P. B. Brandtzæg and J. Heim, “Why People Use Social Networking Sites,” Online communities Soc. Comput., pp. 143–152, 2009.
[7] K. Y. Lin and H. P. Lu, “Why people use social networking sites: An empirical study integrating network externalities and motivation theory,” Comput. Human Behav., vol. 27, no. 3, pp. 1152–1161, 2011.
[8] E. T. Pascarella and P. T. Terenzini, “How college affects students: A third decade of research,” How College Affects Students: A Third Decade of Research. pp. 534–545, 2005.
[9] G. D. Kuh, T. M. Cruce, R. Shoup, J. Kinzie, and R. M. Gonyea, “Unmasking the Effects of Student on First-Year College Engagement Grades and Persistence,” J. Higher Educ., vol. 79, no. 5, pp. 540–563, 2008.
[10] R. Junco and S. R. Cotten, “No A 4 U: The relationship between multitasking and academic performance,” Comput. Educ., vol. 59, no. 2, pp. 505–514, 2012.
[11] R. Junco, “Student class standing, Facebook use, and academic performance,” J. Appl. Dev. Psychol., vol. 36, pp. 18–29, 2015.
[12] E. Ophir, C. Nass, and A. D. Wagner, “Cognitive control in media multitaskers,” Proc. Natl. Acad. Sci., vol. 106, no. 37, pp. 15583–15587, 2009.
[13] P. A. Kirschner and A. C. Karpinski, “Facebook?? and academic performance,” Comput. Human Behav., vol. 26, no. 6, pp. 1237–1245, 2010.
[14] R. H. Kay and S. Lauricella, “Unstructured vs. Structured Use of Laptops in Higher Education,” J. Inf. Technol. Educ., vol. 10, pp. 33–42, 2011.
[15] C. B. Fried, “In-class laptop use and its effects on student learning,” Comput. Educ., vol. 50, no. 3, pp. 906–914, 2008.
[16] E. A. Kolek and D. Saunders, “Online Disclosure: An Empirical Examination of Undergraduate Facebook Profiles,” J. Stud. Aff. Res. Pract., vol. 45, no. 1, pp. 1–25, 2008.
[17] J. Pasek and E. Hargittai, “Facebook and academic performance: Reconciling a media sensation with data,” First Monday, vol. 14, no. 5, pp. 1–14, 2009.
[18] M. A. Conard, “Aptitude is not enough: How personality and behavior predict academic performance,” J. Res. Pers., vol. 40, no. 3, pp. 339–346, 2006.
[19] S. Geiser and M. V. Santelices, “Validity of high-school grades in predicting student success beyond the freshman year: High school record vs. standardized tests as indicators of four-year college outcomes,” CSHE Res. Occas. Pap. Ser., p. 35, 2007.
[20] D. Scott, G. G. Spielmans, D. Julka, M. S. DeBerard, G. G. Spielmans, and D. Julka, “Predictors of Academic Achievement and Retention Among College Freshmen: a Longitudinal Study,” Coll. Stud. J., vol. 38, no. 1, pp. 66–80, 2004.
[21] M. M. Chemers, L. T. Hu, and B. F. Garcia, “Academic self-efficacy and first year college student performance and adjustment,” J. Educ. Psychol., vol. 93, no. 1, pp. 55–64, 2001.
[22] S. B. Robbins, K. Lauver, H. Le, D. Davis, R. Langley, and A. Carlstrom, “Do psychosocial and study skill factors predict college outcomes? A meta-analysis.,” Psychol. Bull., vol. 130, no. 2, pp. 261–88, 2004.
[23] E. T. Pascarella and P. T. Terenzini, “Predicting freshman persistence voluntary dropout decisions from a theoretical model,” J. High. Educ., vol. 51, no. 1, pp. 60–75, 1980.
[24] A. W. Astin, “Student Involvement : A Developmental Theory for Higher Education Student Involvement : A Developmental Theory for Higher Education,” J. Coll. Stud. Dev., no. September, 1984.
[25] G. F. Ferenstein and B. J. Hershbein, “How important are high school courses to college performance? Less than you might think,” Brookings, p. 1, 2016.
[26] E. D. Evans, D. A. McFarland, C. Rios-Aguilar, and R. Deil-Amen, “Community (in) Colleges,” Community Coll. Rev., vol. 44, no. 3, pp. 232–254, 2016.
[27] J. Zheng and K. Saunders, “Predictors of academic success for freshmen residence hall students,” J. Coll. Stud. Dev., vol. 43, pp. 267–283, 2002.
[28] W. Camara and G. Echternacht, “The SAT-I and High School Grades: Utility in Predicting Success in College,” Res. Notes Coll. Board Off. Res. Dev., vol. RN-10, no. July, pp. 1–12, 2000.
[29] J. Fleming, “Who Will Succeed in College? When The SAT Predicts Black Studentsʼ Performance,” Rev. High. Educ., vol. 25, no. 3, pp. 281–296, 2002.
[30] J. L. Hoffman and K. E. Lowitzki, “Predicting College Success with High School Grades and Test Scores: Limitations for Minority Students,” Rev. High. Educ., vol. 28, no. 4, pp. 455–474, 2005.
[31] Wolfe & Johnson (1995) - Personality as a predictor of college performance.pdf.
[32] R. Zwick and J. C. Sklar, “Predicting College Grades and Degree Completion Using High School Grades and SAT Scores: The Role of Student Ethnicity and First Language,” vol. 42, no. 3, pp. 439–464, 2005.
[33] W. Camara and M. Michaelides, “AP ® Use in Admissions: A Response to Geiser and Santelices,” Coll. Board, pp. 1–5, 2005.
[34] M. Braxton, J, “Faculty professional choices in teaching that foster student success. tle,” no. June, 2006.
[35] A. W. Astin, What matters in college?: Four critical years revisited. San Francisco: Jossey-Bass, 1993.
[36] J. G. Gaff, General Education Today. A Critical Analysis of Controversies, Practices, and Reforms. 433 California St., Suite 1000, San Francisco, CA 94104: Jossey-Bass, Inc., 1983.
[37] R. Pace, “Measuring Outcomes of College. Fifty Years of Findings and Recommendations for the Future,” ERIC, 1979.
[38] H. R. Bowen, Investment in learning: The individual and social value of American higher education (2nd ed.). New Brunswick, NJ: Transaction Publisher, 1996.
[39] W. W. Willingham, Success in college: The role of personal qualities and academic ability. Box 886, New York, NY 10101: College Board Publications, 1985.
[40] A. W. Astin, “Four Critical Years. Effects of College on Beliefs, Attitudes, and Knowledge,” ERIC, 1977.
[41] G. D. Kuh, J. Kinzie, J. A. Buckley, B. K. Bridges, and J. C. Hayek, “Piecing Together the Student Success Puzzle: Research, Propositions, and Recommendations,” ASHE High. Educ. Rep., vol. 32, no. 5, pp. 1–182, 2007.
[42] G. D. Kuh, “What student affairs professionals need to know about student engagement,” J. Coll. Stud. Dev., vol. 50, no. 6, pp. 683–706, 2009.
[43] C. R. Pace, “Achievement and the Quality of Student Effort,” Natl. Comm. Excell. Educ., 1982.
[44] R. Junco, S. R. Cotten, P. A. Tess, P. A. Kirschner, A. C. Karpinski, and R. Junco, “Facebook?? and academic performance,” Comput. Human Behav., vol. 26, no. 1, pp. A60–A68, 2012.
[45] E. Moreau, “The Top 25 Social Networking Sites People Are Using,” February 13, 2016. (Online). Available: http://webtrends.about.com/od/socialnetworkingreviews/tp/Social-Networking-Sites.02.htm. (Accessed: 19-Feb-2017).
[46] “Top 15 Most Popular Social Networking Sites | April 2016,” Ebizmba.com, 2016. .
[47] T. P. Alloway, J. Horton, and R. G. Alloway, “Social networking sites and cognitive abilities: Do they make you smarter?,” Comput. Educ., vol. 63, pp. 10–16, 2013.
[48] R. Junco, “Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performance,” Comput. Human Behav., vol. 28, no. 1, pp. 187–198, 2012.
[49] A. B. Fox, J. Rosen, and M. Crawford, “Distractions, distractions: does instant messaging affect college students’ performance on a concurrent reading comprehension task?,” CyberPsychology Behav., vol. 12, no. 1, pp. 51–53, 2009.
[50] D. P. Brumby and D. D. Salvucci, “Towards a Constraint Analysis of Human Multitasking,” no. February, p. 2, 2006.
[51] J. P. Borst, N. A. Taatgen, and H. van Rijn, “The problem state: A cognitive bottleneck in multitasking,” J. Exp. Psychol. Learn. Mem. Cogn., vol. 36, no. 2, pp. 363–382, 2010.
[52] J. P. Borst, The Problem State Bottleneck: Modeling the Behavioral and Neural Signatures of a Cognitive Bottleneck in Human Multitasking, no. September 2011. 2011.
[53] P. E. Dux, J. Ivanoff, C. L. Asplund, and R. Marois, “Isolation of a Central Bottleneck of Information Processing with Time-Resolved fMRI,” Neuron, vol. 52, no. 6, pp. 1109–1120, 2006.
[54] “The 2015 Aspen Prize for Community College Excellence,” THE ASPEN Institute, 2015. (Online). Available: The 2015 Aspen Prize for Community College Excellence.
[55] “Aspen Prize for Community College Excellence List Announced,” THE ASPEN Institute, 2014. (Online). Available: https://www.aspeninstitute.org/blog-posts/aspen-prize-for-community-college-excellence-aspen150/.
[56] R. Junco, G. Heiberger, and E. Loken, “The effect of Twitter on college student engagement and grades,” J. Comput. Assist. Learn., vol. 27, no. 2, pp. 119–132, 2011.