A Technological Tool to Detect Plagiarized Projects in Microsoft Access

Bibliographic Data

ID20295372
AuthorsJames A McCart (0000-0001-5780-733X, University of South Florida), Jay Jarman (University of South Florida)
Year2008
Volume51
Issue2
Pages166-173
Publication date2008-05-01
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Education (JOURNAL)
Journal identifiersISSN: 0018-9359 • E-ISSN: 1557-9638
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/te.2007.906312
OpenAlexW2102901882
LanguageEN
Citations received1
References cited8

Over one in ten students surveyed have admitted to copying programs in courses with computer assignments. The ease with which digital coursework can be copied and the impracticality of manually checking for plagiarized projects in large courses has only compounded the problem. As current research has focused predominantly on detecting plagiarism for textual applications such as source code and documents, there exists a gap in detecting plagiarism in graphically-driven applications. This paper focuses on the effectiveness of a technological tool in detecting plagiarized projects in a course using Microsoft Access. Seven semesters of data were collected from a large technology-oriented course in which the tool had been in use. Comparing semesters before and after the technological tool was introduced demonstrates a significant decrease in the number of projects being duplicated. The results indicate combining technology and policy can be effective in curtailing blatant plagiarism within large technology courses

Copying · Coursework · Mathematics education · Microsoft excel · Microsoft Office · Multimedia · Operating system · Plagiarism detection · Software engineering · World Wide Web · Academic integrity and plagiarism · Artificial Intelligence · Computer Science

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