Detecting and Deterring Plagiarism

2019: Five Years of Graduate CS Education Online and at Scale. David A. Joyner, Charles Isbell, Thad Starner, & Ashok Goel. In ACM Global Computing Education Conference 2019 (CompEd ’19).
2019: Collaboration versus Cheating: Reducing Code Plagiarism in an Online MS Computer Science Program. Tony Mason, Ada Gavrilovska, & David A. Joyner. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE).
2017: A holistic approach to academic integrity in a CS1 MOOC. David Joyner. In Proceedings of Learning with MOOCs IV.
2016: TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale. Dana Sheahen & David Joyner. In Proceedings of the Third Annual ACM Conference on Learning @ Scale. Edinburgh, UK.

Presentation: TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale. The flipped presentation for the corresponding paper at Learning @ Scale 2016.

18 Jan 2019: Two full papers accepted for ACM CompEd 2019. Two papers, one co-authored by David Joyner, Charles Isbell, Thad Starner, and Ashok Goel and one co-authored by David Joyner and Melinda McDaniel, have been accepted to ACM CompEd 2019.
08 Oct 2017: Presenting four papers at Learning with MOOCs IV. This week, David Joyner is presenting four papers at Learning with MOOCs IV.
25 Apr 2016: David, Dana, and Chaohua present at Learning @ Scale 2016. David Joyner, Dana Sheahen, and Chaohua Ou are in Edinburgh, Scotland presenting our five papers. All five presentations are part of the conference's flipped sessions, and the pre-recorded presentations are available here.
15 Apr 2016: Learning @ Scale Flipped Presentations Now Available. For our five Learning @ Scale papers, we are participating in a flipped session. This entails filming the presentation in advance. The presentations are open to the public and now available.
10 Feb 2016: Fifth Paper Accepted to Learning @ Scale 2016. "TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale", co-authored by Dana Sheahen and David Joyner, has been accepted as a short paper to Learning @ Scale 2016. Congratulations, Dana and David!