Problems оf Student Independent Papers Written Using Artificial Intelligence
https://doi.org/10.31161/1995-0659-2025-19-3-79-85
Abstract
Аim. To identify and describe the problems of student independent papers that are written using text generation systems.
Methods. The key method is the method of quantitative analysis of final qualifying papers, taking into account the use of AI systems for writing independent work. For the theoretical analysis, the methods of analyzing publications by Russian authors devoted to the problems of using AI in the educational process were used.
Results. The analysis of students' works written using artificial intelligence (hereinafter AI), as well as through paraphrasing systems, allowed us to conclude that the works partially and sometimes completely do not meet the requirements for student independent work. The attempt to analyze the effectiveness of using AI for writing independent works, from the point of view of the originality of text materials, is the first in domestic research, and raises the issue of improving loan search systems.
Conclusions. In the current environment, an exceptionally responsible approach on the part of academic supervisors to reviewing term papers and theses can prevent students from using AI to write independent papers.
About the Author
I. V. Yakovlev
Gamzatov Dagestan State Pedagogical University
Russian Federation
Russian Federation
Ivan V. Yakovlev, Master's student
Makhachkala
References
1. Levin B. A., Piskunov A. A., Polyakov V. Yu. I dr. Iskusstvennyj intellekt v inzhenernom obrazovanii [Artificial intelligence in engineering education]. Higher education in Russia. 2022. No. 31(7). Pp. 79-95. (In Russian)
2. Neelova N. V. Issledovanie leksicheskogo metoda vychisleniya skhozhesti strok s uchetom predvaritel'noj obrabotki [A study of the lexical method for calculating the similarity of strings, taking into account preprocessing]. Proceedings of Tula State University. Technical sciences. 2009. No. 2-2. Pp. 202-212. (In Russian)
3. Safin K. F., Chekhovich Yu. V. O kombinirovannom algoritme obnaruzheniya zaimstvovanij v tekstovyh dokumentah [A study of the lexical method for calculating the similarity of strings, taking into account preprocessing]. Proceedings of the Institute of System Programming of the Russian Academy of Sciences. 2022. No. 34 (1). Pp. 151-160. (In Russian)
4. Sipakova I. N., Aleksandrova E. A., Mogilevich B. R. i dr. Metodologiya kul'turnyh praktik samostoyatel'noj raboty [Methodology of cultural practices of independent work] Aleksandrova E. A., Mogilevich B. G., Bazyleva R. M. i dr. Organization of students' independent work. Collective monograph. Saratov: Publishing house "Tekhno-Dekor", 2015. 200 р. (In Russian)
5. Student RGGU zashchitil diplom, napisannyj ChatGPT. Habr.com. [Electronic resource]. Mode of access: https://habr.com/ru/news/t/714216/ (accessed 18.01.2025)
6. Sysoev P. V. Iskusstvennyj intellekt v obrazovanii: osvedomlyonnost', gotovnost' i praktika primeneniya prepodavatelyami vysshej shkoly tekhnologij iskusstvennogo intellekta v professional'noj deyatel'nosti [Artificial intelligence in education: awareness, readiness and practice of using artificial intelligence technologies in professional activities by higher school teachers.]. Higher education in Russia. 2023. No. 32(10). Pp. 9-33. (In Russian)
7. Shobonov N. A., Bulaeva M. N., Zinov'eva S. A. Iskusstvennyj intellekt v obrazovanii [Artificial intelligence in education]. Problems of modern teacher education. 2023. No. 79-4. Pp. 288-290. (In Russian)
8. Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases. [Electronic resource]. Mode of access: https://arxiv.org/abs/2307.07411 (accessed 01.02.2025)
9. Recursively summarizing enables longterm dialogue memory in large language models. [Electronic resource]. Mode of access: https://arxiv.org/abs/2308.15022 (accessed 18.01.2025)
Review
For citations:
Yakovlev I.V. Problems оf Student Independent Papers Written Using Artificial Intelligence. Dagestan State Pedagogical University. Journal. Psychological and Pedagogical Sciences. 2025;19(3):79-85. (In Russ.) https://doi.org/10.31161/1995-0659-2025-19-3-79-85
Views:
31
Email this article 