521
Views
4
CrossRef citations to date
0
Altmetric
Articles

The use of Web 2.0 tools by students in learning and leisure contexts: a study in a Portuguese institution of higher education

, &
Pages 377-394 | Received 12 Dec 2013, Accepted 01 Oct 2014, Published online: 03 Aug 2015
 

Abstract

This study analyses and compares the use of Web 2.0 tools by students in both learning and leisure contexts. Data were collected based on a questionnaire applied to 234 students from the University of Aveiro (Portugal) and the results were analysed by using descriptive analysis, paired samples t-tests, cluster analyses and Kruskal–Wallis tests. The results show that the tools most used by students in a learning context are video sharing, social network sites and wikis, and that in a leisure context students use social network sites and video sharing more. The profiles of the groups resulting from the cluster analyses reveal that 42% of the students do not use Web 2.0 tools intensively in either one of the contexts. However, findings from comparing the clusters of both contexts show that students who more frequently use the tools in the leisure context are occasional users in the learning context and vice versa. This study contributes to a better knowledge of the student profiles concerning the use of Web 2.0 tools in learning and leisure contexts which can help teachers direct their strategies to the use of the most appropriate tools, thus improving the success of the teaching-learning process.

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 327.00 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.