An examination of the efficacy of the plagiarism detection software program Turnitin

dc.contributor.advisor	Li, Jia
dc.contributor.advisor	Owen, Michael
dc.contributor.author	Walchuk, Kevin
dc.date.accessioned	2016-12-22T16:24:33Z
dc.date.accessioned	2022-03-29T20:00:16Z
dc.date.available	2016-12-22T16:24:33Z
dc.date.available	2022-03-29T20:00:16Z
dc.date.issued	2016
dc.identifier.uri	https://hdl.handle.net/10155/717
dc.description.abstract	This research examined the effectiveness of the plagiarism detection program Turnitin in identifying clearly copied, verbatim textual material from peer reviewed and published academic journal articles. It also considered both the effectiveness and appropriateness of tasking plagiarism detection programs, such as Turnitin, with the responsibility of identifying semantic plagiarism, defined for this purpose as the plagiarism of the meaning of text.	en
dc.description.sponsorship	University of Ontario Institute of Technology	en
dc.language.iso	en	en
dc.subject	Plagiarism	en
dc.subject	Semantic plagiarism	en
dc.subject	Plagiarism detection	en
dc.subject	Turnitin	en
dc.subject	Cheating	en
dc.title	An examination of the efficacy of the plagiarism detection software program Turnitin	en
dc.type	Master's Project	en
dc.degree.level	Master of Education (MEd)	en
dc.degree.discipline	Education and Digital Technologies	en