6,557
Views
53
CrossRef citations to date
0
Altmetric
Articles

Internet plagiarism in higher education: tendencies, triggering factors and reasons among teacher candidates

&
Pages 1002-1016 | Published online: 27 Jan 2014
 

Abstract

While plagiarism has been a growing problem in higher education for a long time, the use of the Internet has made this increasing problem more unmanageable. In many countries, this problem has become a matter of discussion, and higher education institutions feel obliged to review their policies on academic dishonesty. As part of these efforts, the study aims to examine the tendencies of teacher candidates to plagiarise using the Internet, factors affecting their tendencies and the reasons for plagiarism. In this context, a questionnaire was administered to a total of 386 first- and fourth-grade college students at a college of education. The data were analysed using frequencies, percentages, the Mann–Whitney U test and Kruskal–Wallis one-way analysis of variance. The findings revealed that the teacher candidates had, to some extent, a tendency to plagiarise using the Internet by copying material or using the same assignment in different courses. Gender, department and length of computer use were found to be significant factors affecting their tendencies to plagiarise using the Internet. Time constraints, workload and difficulty of the assignments/projects were indicated as among the major reasons for tendencies towards Internet plagiarism.

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 830.00 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.