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An Institutional Self-Study of Text-Matching Software in a Canadian Graduate-Level Engineering Program

Authors :
Elise C. Fear
Laleh Behjat
Milana Trifkovic
Sarah Elaine Eaton
Katherine Crossman
Robin M. Yates
Source :
Journal of Academic Ethics. 18:263-282
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

This institutional self-study investigated the use of text-matching software (TMS) to prevent plagiarism by students in a Canadian university that did not have an institutional license for TMS at the time of the study. Assignments from a graduate-level engineering course were analyzed using iThenticate®. During the initial phase of the study, similarity scores from the first student assignments (N = 132) were collected to determine a baseline level of textual similarity. Students were then offered an educational intervention workshop on academic integrity. Another set of similarity scores from consenting participants’ second assignments (n = 106) were then collected, and a statistically significant assignment effect (p

Details

ISSN :
15728544 and 15701727
Volume :
18
Database :
OpenAIRE
Journal :
Journal of Academic Ethics
Accession number :
edsair.doi...........99dcbcef4f8cf16dffc60d0b59c79bb5
Full Text :
https://doi.org/10.1007/s10805-020-09367-0