Plagiarism Detection Automation: a New Approach to Code Analysis in the Mirera Digital Educational Platform
https://doi.org/10.25682/NIISI.2025.1.0007
Abstract
The task of detecting plagiarism in programming task solutions holds high priority in digital educational platforms due to the necessity of providing accurate and reliable assessment of users' learning progress. Methods that compare submitted solutions solely based on textual similarity, without accounting for the syntactic characteristics of the programming languages in which the solutions are written, often fail to deliver precise and trustworthy results—similarly to statistical approaches based on machine learning. This study proposes a method for block-based comparison of student programming solutions for plagiarism detection, taking into account the syntactic features of programming languages.
About the Authors
D. I. Kadina
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
A. G. Leonov
НИЦ «Курчатовский институт» - НИИСИ; МГУ им. М. В. Ломоносова; МПГУ; Государственный университет управления
Russian Federation
Russian Federation
N. S. Martynov
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
K. A. Mashchenko
НИЦ «Курчатовский институт» - НИИСИ; МГУ им. М. В. Ломоносова; Государственный университет управления
Russian Federation
Russian Federation
E. A. Orlov
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
A. I. Strekalova
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
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Review
For citations:
Kadina D.I., Leonov A.G., Martynov N.S., Mashchenko K.A., Orlov E.A., Strekalova A.I. Plagiarism Detection Automation: a New Approach to Code Analysis in the Mirera Digital Educational Platform. SRISA Proceedings. 2025;15(1):52-57. (In Russ.) https://doi.org/10.25682/NIISI.2025.1.0007
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