Publication Cover
Educational Psychology
An International Journal of Experimental Educational Psychology
Volume 39, 2019 - Issue 8
1,330
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Social network site use and university adjustment

ORCID Icon &
Pages 1027-1046 | Received 21 Aug 2017, Accepted 08 May 2019, Published online: 30 May 2019
 

Abstract

Previous research suggests that students often use social network sites (SNS) as academic distractors, though little is known about the association between students’ use of individual SNS and university adjustment. The present study examined academic outcomes associated with using Tumblr, Facebook, Twitter, Pinterest, and Instagram. University students (N = 422; Mage = 21.24) completed self-report measures assessing SNS use, procrastination, academic engagement, and university adjustment. For each SNS, participants reported how often they used the site in general, in addition to how often they used the site to procrastinate on academic tasks, and their frequency of using the site for non-academic purposes during class. Results indicated that Tumblr, Facebook, and Pinterest were linked with university maladjustment, whereas Twitter and Instagram were associated with some benefits to adjustment. The findings suggest that using SNS to procrastinate, or using SNS during class, play an important role in understanding students’ adjustment to university.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 759.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.