2008
DOI: 10.1007/s11218-008-9080-0
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It’s not just what you know, it’s who you know: Testing a model of the relative importance of social networks to academic performance

Abstract: Applying three mathematical modeling techniques, this study proposes and tests the fit of an academic performance model, and then estimates the relative importance of four performance predictors: academic ability, performance goal orientation, educational technology use, and social network density. Drawing on social network theory, findings from this study show that social network density is a statistically important and unique predictor of academic performance, suggesting that "who you know" matters in large … Show more

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Cited by 61 publications
(60 citation statements)
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References 62 publications
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“…Most of them confirm the growing importance of this relationship (Baldwin et al 1997;Thomas 2000;Yang and Tang 2003;Yuan et al 2006;Smith and Peterson 2007;Rizzuto et al 2009;Hommes et al 2012;Gašević et al 2013). Consequently, social network position is expected to be a relevant predictor of academic performance of undergraduates in higher education.…”
Section: Student Network and Academic Performancementioning
confidence: 86%
See 2 more Smart Citations
“…Most of them confirm the growing importance of this relationship (Baldwin et al 1997;Thomas 2000;Yang and Tang 2003;Yuan et al 2006;Smith and Peterson 2007;Rizzuto et al 2009;Hommes et al 2012;Gašević et al 2013). Consequently, social network position is expected to be a relevant predictor of academic performance of undergraduates in higher education.…”
Section: Student Network and Academic Performancementioning
confidence: 86%
“…Much of this literature draws on student ability and motivation as the most significant factors (Meece et al 2006;Kassim et al 2008;Pekrun et al 2009), while less attention has been given to the social factors that shape performance in academic-settings (Rizzuto et al 2009). Nevertheless, social relationships are highlighted by many scholars as one of the critical factors that influence the students' learning process (Gašević et al 2013).…”
Section: Student Network and Academic Performancementioning
confidence: 99%
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“…Furthermore, by asking students that why they did not put more effort into academic work, Yazedjan et al in 2008 have found SNSs' distraction as a regular explanation. Other researchers studying this same issue found either no-to-little relationship between the use of SNSs and student academic performance (Ahmed & Qazi, 2011;Hargittai & Hsieh, 2010;Kolek and Saunders, 2008), or actually an increase in student academic performance (Junco, Heibergert, & Loken, 2011;Pasek, More, & Hargittai, 2009;Rizzuto, LeDoux, & Hatala, 2009). Among these studies, Madge, et al in 2009 found that SNSs are mainly used to keep up with social aspects of college life and it is a part of most students' daily routine.…”
Section: Impacts Of Using Snss On Studentsmentioning
confidence: 99%
“…Given these findings, a number of research studies have focused on the impact of technologically enhanced social media interactions on academic achievement in terms of an increase in collegiate students' grade point averages, self-regulation strategies, and self-efficacy development [20,29,34,35]. As such, online social media tools like Facebook and Twitter afford innovative opportunities for collegiate instructors to enhance student learning through modelling, mentoring, assessments, and promoting self-regulation strategies [9,12], However, a limited number of studies have been conducted to document the negative and positive effects of social media including the examination of gender and age differences.…”
Section: Introductionmentioning
confidence: 99%