Active on Facebook and Failing at School? Meta-Analytic Findings on the Relationship Between Online Social Networking Activities and Academic Achievement

Marker, Caroline; Gnambs, Timo; Appel, Markus

doi:10.1007/s10648-017-9430-6

Cited by 67 publications

(63 citation statements)

References 87 publications

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“…On the other hand, research has shown that social media use alone is not a predictor of loneliness as other factors have to be considered (Cigna 2018;Kim et al 2009). In fact, while some research has shown no effect of social media on wellbeing (Orben et al 2019), other research has shown that social media can benefit individuals through a number of different avenues such as teaching and developing socialization skills, allowing greater communication and access to a greater wealth of resources, and helping with connection and belonging (American Psychological Association 2011; Baker and Algorta 2016;Marker et al 2018). As well, a working paper by Crolic et al (2019) argues that much of the evidence of social media use on consumer well-being is of questionable quality (e.g., small and non-representative samples, reliance on self-reported social media use), and show that some types of social media use are positively associated with psychological well-being over time.…”

Section: Combatting Loneliness and Isolationmentioning

confidence: 99%

The future of social media in marketing

Appel

Grewal

Hadi

et al. 2019

J. of the Acad. Mark. Sci.

1,072

557

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Social media allows people to freely interact with others and offers multiple ways for marketers to reach and engage with consumers. Considering the numerous ways social media affects individuals and businesses alike, in this article, the authors focus on where they believe the future of social media lies when considering marketing-related topics and issues. Drawing on academic research, discussions with industry leaders, and popular discourse, the authors identify nine themes, organized by predicted imminence (i.e., the immediate, near, and far futures), that they believe will meaningfully shape the future of social media through three lenses: consumer, industry, and public policy. Within each theme, the authors describe the digital landscape, present and discuss their predictions, and identify relevant future research directions for academics and practitioners.

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Section: Combatting Loneliness and Isolationmentioning

confidence: 99%

The future of social media in marketing

Appel

Grewal

Hadi

et al. 2019

J. of the Acad. Mark. Sci.

1,072

557

View full text Add to dashboard Cite

show abstract

“…Research on context‐specific technology skills (eg, keyboarding, coding or online research) is recommended. Second, research found negative impact of general SNS use on grades while SNS use for academic purpose related positively with grades (Marker et al , ).…”

Section: Discussionmentioning

confidence: 99%

“…A study of teens 14–19 in Macao found Facebook provided a cost‐effective alternative for technology integration that improved perceived academic benefit when used for (1) raising questions and (2) engaging in study‐related discussions (Kio, ). Most recently, a meta‐analytic review found SNSs used for academic purposes were positively associated with academic grades among secondary and university students (Marker, Gnambs, & Appel, ).…”

Section: Theoretical Background and Research Questionsmentioning

confidence: 99%

Predicting Web 2.0 use among US teens—Expanding the power of the skill, will and tool model

Grant¹

2019

Brit J Educational Tech

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There is a need to understand antecedents to US teens’ use of information and communication technology (ICT). Research on the “digital divide” for access to ICT reports conflicting findings based on gender and demographic factors of parent income and education. This study expanded the “tool‐will‐skill” framework to examine how demographic factors, access to ICT tools, teen will factors and social networking skill explain variation in Internet use among US teens. The study analyzed national data from Pew Research Center’s survey of 1,060 US teens. Principal component analysis (PCA) identified six latent variables for teen will. A pre‐diagram depicts a conceptual framework and causal assumption of relationships between demographic factors, tool factors (ie, Internet access, smartphone access and tablet access), will factors (from PCA) and skill factors (Facebook, Instagram, Snapchat and Twitter). Multiple linear path analysis was conducted, and results reported. Recommendations are suggested for instructional practice, educational policy and future research.

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“…Relatedly, meta-analyses on the relation between social media use and adolescent academic performance find no or negligible effects. 47 It is important to note that the overall quality of the literature these meta-analyses rely upon has been criticized. 48 This is problematic because low quality of individual studies biases meta-analyses.…”

Section: Digital Technology Use and Adolescent Well-being -Dienlin Jmentioning

confidence: 99%

The impact of digital technology use on adolescent well-being

Dienlin

Johannes

2020

Dialogues in Clinical Neuroscience

186

107

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This review provides an overview of the literature regarding digital technology use and adolescent well-being. Overall, findings imply that the general effects are on the negative end of the spectrum but very small. Effects differ depending on the type of use: whereas procrastination and passive use are related to more negative effects, social and active use are related to more positive effects. Digital technology use has stronger effects on short-term markers of hedonic well-being (eg, negative affect) than long-term measures of eudaimonic well-being (eg, life satisfaction). Although adolescents are more vulnerable, effects are comparable for both adolescents and adults. It appears that both low and excessive use are related to decreased well-being, whereas moderate use is related to increased well-being. The current research still has many limitations: High-quality studies with large-scale samples, objective measures of digital technology use, and experience sampling of well-being are missing.

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Active on Facebook and Failing at School? Meta-Analytic Findings on the Relationship Between Online Social Networking Activities and Academic Achievement

Cited by 67 publications

References 87 publications

The future of social media in marketing

The future of social media in marketing

Predicting Web 2.0 use among US teens—Expanding the power of the skill, will and tool model

The impact of digital technology use on adolescent well-being

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