Developments on PlagZap, the Fast and Free Textual Plagiarism Detection Solution for Universities
| Autor: | Andrei Bautu, Elena Bautu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
03 medical and health sciences
0302 clinical medicine Information retrieval ComputingMilieux_THECOMPUTINGPROFESSION Logic 05 social sciences ComputingMilieux_COMPUTERSANDEDUCATION 050301 education ComputingMilieux_LEGALASPECTSOFCOMPUTING Plagiarism detection 030212 general & internal medicine Psychology 0503 education |
| Zdroj: | Logic Journal of the IGPL. 29:963-973 |
| ISSN: | 1368-9894 1367-0751 |
| DOI: | 10.1093/jigpal/jzaa038 |
| Popis: | Plagiarism among university students is an important issue that affects their preparation and undermines the universities’ efforts to prepare skilled graduates. Universities try to fight this problem back with strict ethics policies, but they require the proper plagiarism detection tools, at affordable costs, to implement these policies. In this paper, we present PlagZap, a cost-efficient, high-volume and high-speed plagiarism detection system built using open-source software and designed to be used on textual student assignments. We discuss the advantages of this design, plagiarism obfuscation methods and empirical results from using PlagZap. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|