2,602
Views
66
CrossRef citations to date
0
Altmetric
Articles

Cheating in e-exams and paper exams: the perceptions of engineering students and teachers in Norway

ORCID Icon, &
Pages 940-957 | Published online: 31 Jan 2020
 

Abstract

A concern that has been raised with the transition from pen and paper examinations to electronic examinations is whether this will make cheating easier. This article investigates how teachers and students perceive the differences in ease of cheating during three types of written examination: paper exams, bring your own device e-exams and e-exams using university-owned devices. It also investigates perceptions about the effectiveness of some typical countermeasures towards cheating across these examination types. A mixed-method approach was used, combining questionnaires and interviews with students and teachers in the authors’ own university. A total of 212 students and 162 teachers participated in the questionnaire survey, and then, a more limited number were interviewed to get a deeper understanding of the results. Six-different cheating practices were considered – impersonation, forbidden aids, peeking, peer collaboration, outside assistance and student–staff collusion and seven different countermeasures were considered – proctors, biometry, mingling, shuffling, random drawing, sequencing and broadcasting. Both students and teachers perceived cheating as easier with e-exams, and especially with bring your own device. They also thought some countermeasures would be easier to implement with e-exams.

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.