Johnson, W. R. (2018, June), Detecting Plagiarism in SolidWorks CAD Courses  Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30286

\bibitem{asee_peer_30286}
  Johnson, W. R. (2018, June), \emph{Detecting Plagiarism in SolidWorks CAD Courses}
  Paper presented at 2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah.
  10.18260/1-2--30286

Webster R. Johnson.  "Detecting Plagiarism in SolidWorks CAD Courses".  2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah, 2018, June.  ASEE Conferences, 2018.  https://peer.asee.org/30286 Internet.  22 Jan, 2025

\bibitem{asee_peer_30286}
  Webster R. Johnson.
  "Detecting Plagiarism in SolidWorks CAD Courses".
  \emph{2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah, 2018, June}.
  ASEE Conferences, 2018.
  https://peer.asee.org/30286 Internet.  22 Jan, 2025

@INPROCEEDINGS{asee_peer_30286
author = "Webster R. Johnson"
title = "Detecting Plagiarism in SolidWorks CAD Courses"
booktitle = "2018 ASEE Annual Conference \& Exposition "
year = "2018"
month = "June"
address = "Salt Lake City, Utah"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/30286}
number = {10.18260/1-2--30286}
}

TY  - CPAPER
AB  - Our department has three different courses which uses SolidWorks.
A common problem among the courses is plagiarism:  students copy the work of others and submit it as their own, students recycle their previous work for a new assignment (self-plagiarism) or students use work downloaded from the internet as submit it as their own.
In past years, typically each year 10 to 30 instances of plagiarsim were suspected but were always difficult to prove.
A program called MMEM was written to extract read-only information from SolidWorks files:  author, date of feature creation, date of feature last change.  The program assembles the information along with students name in a spreadsheet in which violations are easily spotted. 
During the first year of using this program two cases of plagiarism were detected and the students failed their courses.  As a result the rest of the students realized that their plagarism schemes were no long viable:  no cases have been detected since.  The abundant information also exposes false positives such as two students using the same computer and the same log-in but doing the same assignment at different times.  
AU  - Webster R. Johnson
CY  - Salt Lake City, Utah
DA  - 2018/06/23
PB  - ASEE Conferences
TI  - Detecting Plagiarism in SolidWorks CAD Courses
UR  - https://peer.asee.org/30286
DO  - 10.18260/1-2--30286
ER  -