Methodology of using artificial intelligence technologies to create student written works in Russian universities
https://doi.org/10.47370/2078-1024-2025-17-2-99-110
Abstract
Introduction. Due to the growing importance of artificial intelligence technologies in higher education, there is a growing need to develop a methodology for teachers to use AI technologies in preparing student written works that meet all established regulatory requirements and rules of academic ethics.
The Materials and methods. In July 2024, the author conducted confidentiality and anonymously, a group interview with seven experts – colleagues aged 35 to 60 years, working in social and humanitarian fields for at least five years in universities in Moscow and Ufa. A pedagogical experiment, as well as an online survey of 46 graduate students of various fields of study of the Bashkir State Medical University and the Bashkir State Pedagogical University in the social network «Vkontakte» aged 22 to 25 years, of which 57.25% were women, 42.75% were men, 93%, natives of Bashkortostan, were conducred.
The Research results. The author's methodology developed during the research includes the following main components. First, the supervisor determines the general direction of the research, the list of specific AI tools, limitations on the use of AI, the responsibility of a student, etc. In turn, the student, using AI tools, creates the first version of the written work, taking into account the high probability of the artificial neural network inventing facts and sources. At the final stage, the supervisor makes a general assessment of the content and form of the written work, and discusses the achieved result with the student.
Discussion and conclusion. In general, the author's methodology allows integrating AI tools into classical classroom and extracurricular activities with the mandatory scientific supervision of a human teacher.
About the Author
S. V. Trusov
Synergy University
Russian Federation
Russian Federation
Sergey V. Trusov, Associate professor, Department of Public Health and Medical and Social
Disciplines
Moscow
References
1. Agaltsova D.V., Valkova Yu.E. Artificial intelligence technologies for a university teacher // The world of science, culture, education. 2023. No. 2. P. 5-7. [In Russ.]
2. Bezugly T.A., Ershova M.E. Using text neural networks and artificial intelligence in students’ academic work // Problems of modern education. 2023. No. 5. P. 206-216. [In Russ.]
3. Paskova A.A. Practical aspects of using ChatGPT in higher education // Bulletin of Maikop State Technological University. 2023. Vol. 15, No. 3. P. 67-74. [In Russ.]
4. Parshutina G.A., Kamaletdinova S.M. Artificial intelligence through the eyes of university students: advantages, concerns and possible difficulties // Issues of applied linguistics. 2023. No. 55. P. 98-124. [In Russ.]
5. TSU Development Program [Electronic resource]. Access mode https://priority2030.ru/analytics/j8wbik3emg/about/program (date of access: 25.12.2024). [In Russ.]
6. Sysoev P.V., Filatov E.M. Methodology of teaching pupils and students to write essays in the triad «a student – a teacher – artificial intelligence» // Bulletin of Moscow University. Series, 19: Linguistics and intercultural communication. 2024. Vol. 27, No. 2. P. 38-54. [In Russ.]
7. Yadov V.A. Strategy of sociological research. Description, explanation, understanding of social reality. M.: Dobrosvet, 2000. 596 p.
8. Yakovlev M.V. Darknet and political issues // Bulletin of Peoples’ Friendship University of Russia. Series: Political Science. 2022. No. 3. P. 408-418.
9. Almusharraf N., Alotaibi H. An error-analysis study from an EFL writing context: Human and automated essay scoring approaches // Technology, Knowledge and Learning, 2023. Vol. 28, No. 3. P. 1015-1031. https://doi.org/10.1007/s10758-022-09592-z
10. Time to revisit existing student’s performance evaluation approach in higher education sector in a new era of ChatGPT – A case study / Chaudhry I.S. [et al.] // Cogent Education. 2023. Vol. 10, No. 1. Article 2210461. https://doi.org/10.1080/2331186X.2023.2210461
11. Opinion Paper: «So what if ChatGPT wrote it?» Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy / Dwivedi Y.K. [et al.] // International Journal of Information Management. 2023. No.., Article 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
12. A SWOT analysis of ChatGPT: Implications for educational practice and research / Farrokhnia M. [et al.] // Innovations in Education and Teaching International. 2023. No. 1-15. https://doi.org/10.1080/14703297.2023.2195846
13. Exploring an AI-based writing Assistant’s impact on English language learners / Gaye, J.M. [et al.] // Computers and Education: Artificial Intelligence. 2022. No. 3. Article 100055. https://doi.org/10.1016/j.caeai.2022.100055
14. Hapsari I.P., Wu T.T. AI Chatbots learning model in English speaking skill: Alleviating speaking anxiety, boosting enjoyment, and fostering critical thinking // Proceedings of the International Conference on Innovative Technologies and Learning. 2022. P. 444–453. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-15273-3_49
15. Ethics of AI in education: Towards a community-wide framework / Holmes W. [et al.] // International Journal of Artificial Intelligence in Education. 2022. Vol. 32, No. 3. P. 504-526. https://doi.org/10.1007/s40593-021-00239-1
16. Online peer feedback patterns of success and failure in argumentative essay writing / Kerman N.T. [et al.] // Interactive Learning Environments. 2022. P. 1-13. https://doi.org/10.1080/10494820.2022.2093914
17. Kreps S., McCain R.M., Brundage M. All the news that’s fit to fabricate: AIgenerated text as a tool of media misinformation // Journal of Experimental Political Science. 2022. No. 9 (1). P. 104- 117. https://doi.org/10.1017/XPS.2020.37
18. Lameras P., Arnab S. Power to the teachers: An exploratory review on artificial intelligence in education // In Information. 2022. No. 13 (1). P. 14. https://doi.org/10.3390/info13010014
19. Latifi S., Noroozi O., Talaee E. Worked example or scripting? Fostering students’ online argumentative peer feedback, essay writing and learning // Interactive Learning Environments. 2023. Vol., No. 31 (2). P. 655-669. https://doi.org/10.1080/10494820.2020.1799032
20. Li A.W. Using Peerceptiv to support AI-based online writing assessment across the disciplines // Assessing Writing. 2023. No. 57. Article 100746. https://doi.org/10.1016/j.asw.2023.100746
21. Exploring Artificial Intelligence in Academic Essay: Higher Education Student’s Perspective / Malik A.R. [et al.] // International Journal of Educational Research Open, 2023. No. 5. P. 100296. https://doi.org/10.1016/j.ijedro.2023.100296
22. Mazzone M., Elgammal A. Art, creativity, and the potential of artificial intelligence // In Arts. 2019. No. 8(1). P. 26. https://doi.org/10.3390/arts8010026
23. Miranty D., Widiati U. An automated writing evaluation (AWE) in higher education // Pegem Journal of Education and Instruction. 2021. No. 11(4 SE-Article). P. 126-137. https://doi.org/10.47750/pegegog.11.04.12
24. Rospigliosi, P. Artificial intelligence in teaching and learning: What questions should we ask of ChatGPT? // Interactive Learning Environments. 2022. No. 31(1). P. 1-3. https://doi.org/10.1080/10494820.2023.2180191
25. Storey V.A. AI technology and academic writing: knowing and mastering the «Craft Skills» // International Journal of Adult Education and Technology (IJAET). 2023. No. 14(1). P. 1-15. https://doi.org/10.4018/IJAET.325795
26. Su J., Zhong Y., Ng D.T.K. A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region // Computers and Education: Artificial Intelligence. 2022. No. 3. Article 100065. https://doi.org/10.1016/j.caeai.2022.100065
27. Argumentation competence: Students’ argumentation knowledge, behavior and attitude and their relationships with domain-specific knowledge acquisition / Valero Haro A. [et al.] // Journal of Constructivist Psychology. 2022. No. 35(1). P. 123-145. https://doi.org/10.1080/10720537.2020.1734995
28. Yakovlev M.V., Gareev E.S., Burangulov E.R. Commercial Use of Distance Learning Technologies in the Digital Knowledge Economy: Trends and Prospects // Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022. No. 65. P. 391-396. https://doi.org/10.1007/978-981-16-9069-3_43.
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For citations:
Trusov S.V. Methodology of using artificial intelligence technologies to create student written works in Russian universities. Vestnik Majkopskogo Gosudarstvennogo Tehnologiceskogo Universiteta. 2025;(2):99-110. (In Russ.) https://doi.org/10.47370/2078-1024-2025-17-2-99-110
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