Alma Mater
ISSN 1026-955X
Vestnik Vysshey Shkoly (Higher School Herald)
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Methods for bypassing the check of final qualifying works for the amount of borrowed text and ways to identify them. Inserting large amounts of third-party text. Part 1

O.Ya. Kutsiy, T.Yu. Tsibizova, A.Yu. Kytsaya
$2.50

UDC 378(079)-044.3:004.04

https://doi.org/10.20339/AM.02-22.048       

 

Oleg Ya. Kutsy, Senior Lecturer at sub-faculty “Foundry Technology”, Head of the division of normative and methodological support educational process of Department of Educational Technologies at Bauman MGTU, e-mail: kutsiy@bmstu.ru

Tatyana Yu. Tsibizova, Dr. Sci. (Pedagogy), Cand. Sci. (Philosophy), Ass. Prof. at sub-faculty “Systems of Automatic management” at Bauman MGTU, Head of sub-faculty “Pedagogy, Psychology, Law, History and Philosophy” at Mytishchi branch of Bauman MGTU, e-mail: mumc@bmstu.ru

Aleksandra Yu. Kutsaya, Senior Lecturer at sub-faculty “Foundry Technology”, Head of Educational Programs Design Division of Department of Educational Standards and Programs at Bauman MGTU, e-mail: fortor@mail.ru

 

The article is devoted to the issues of checking student papers for the amount of borrowed text and to the problems of controlling the circumvention of this check. The article considers the implementation of a number of methods of the widely used method of bypassing validation associated with the insertion of a large amount of third-party text. Shows various ways to detect this workaround in MS Word documents.

Key words: final qualifying work, plagiarism, education, checking for the amount of borrowing, bypassing the check for the amount of borrowing.

 

References

1.  Kutsy, O.Ya., Tsibizova, T.Yu. Methods for bypassing the check of final qualifying works for the amount of borrowed text and ways to identify them. Errors in words. Part 1. Alma mater (Vestnik vysshey shkoly). 2021. No. 8. P. 60–65. DOI: 10.20339/AM.08-21.060

2.  Kutsy, O.Ya., Tsibizova, T.Yu. Methods for bypassing the check of final qualifying works for the amount of borrowed text and ways to identify them. Errors in words. Part 2. Alma mater (Vestnik vysshey shkoly). 2021. No. 11. P. 42–47. DOI: 10.20339/AM.11-21.042

3.  Redin, D.V. Modern methods of increasing the uniqueness of text content as part of verification in electronic borrowing detection systems. Human. Society. The science. 2020. No. 3. P. 41–45.

4.  Svechkarev, V.G., Ashkhamakhov, K.I., Dvoinikova, E.S., Guchetl, I.N. Methodology for checking works for borrowing in the “Antiplagiat.vuz” system in order to prevent fraud. Business. Education. Right. 2020. No. 3. P. 395–400.

5.  Tugarev, A.S. Fighting the technical rise of uniqueness. In: Tools and Mechanisms of Modern Innovative Development. Collection of articles of the International Scientific and Practical Conference: in 5 parts. 2017. P. 146–149.