Uncovering Plagiarism Networks
Manuel Freire, Manuel Cebrian, Emilio del Rosal
Abstract
Plagiarism detection in educational programming assignments is still a problematic issue in terms of resource waste, ethical controversy, legal risks, and technical complexity. This paper presents AC, a modular plagiarism detection system. The design is portable across platforms and assignment formats and provides easy extraction into the internal assignment representation. Multiple similarity measures have been incorporated, both existing and newly-developed. Statistical analysis and several graphical visualizations aid in the interpretation of analysis results. The system has been evaluated with a survey that encompasses several academic semesters of use at the authors' institution.
Create a lesson
Related papers
Embedding Information in Policy Randomness: Distribution-Preserving Implicit Communication in MDPs
Gongpu Chen, Deniz Gündüz
Exact Privacy--Distortion Design of Support-Constrained Randomized Response
Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund
Fine asymptotics for approximate simulation of symmetric channels
Valentinian Lungu, Aaron B. Wagner, Ioannis Kontoyiannis
Higher-order nonhomomorphicity under affine restrictions
Serge Feukoua, Ana Sălăgean, Pantelimon Stănică
Low-Latency Belief-Propagation Decoding of Quantum LDPC Codes with Reinforcement-Learned Scheduling
Mohsen Moradi, Ghilas Aissou, Taejoon Kim et al.
Residual-Information Generalization Bounds Under Selective Privacy: Extended Version
Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund