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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Detecting Plagiarism based on the Creation Process
Organization Unit
  • Johannes Schneider
  • Abraham Bernstein
  • Jan vom Brocke
  • Kostadin Damevski
  • David C Shepherd
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Journal Title IEEE Transactions on Learning Technologies
Publisher Institute of Electrical and Electronics Engineers
Geographical Reach international
ISSN 1939-1382
Volume 11
Number 3
Page Range 348 - 361
Date 2017
Abstract Text All methodologies for detecting plagiarism to date have focused on the final digital “outcome”, such as a document or source code. Our novel approach takes the creation process into account using logged events collected by special software or by the macro recorders found in most office applications. We look at an author's interaction logs with the software used to create the work. Detection relies on comparing the histograms of multiple logs' command use. A work is classified as plagiarism if its log deviates too much from logs of “honestly created” works or if its log is too similar to another log. The technique supports the detection of plagiarism for digital outcomes that stem from unique tasks, such as theses and equal tasks such as assignments for which the same problem sets are solved by multiple students. Focusing on the latter case, we evaluate this approach using logs collected by an interactive development environment (IDE) from more than 60 students who completed three programming assignments.
Digital Object Identifier 10.1109/TLT.2017.2720171
Other Identification Number merlin-id:14983
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