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Student-AI Interaction: A Trial Version

https://doi.org/10.18384/3033-6414-2026-2-71-79

Abstract

Aim. To study the impact of artificial intelligence on the development of students’ agency within V. I. Panov’s eco-psychological approach.

Methodology. The study involved 23 first-year students majoring in еру “Teacher-Psychologist” educational profile at Samara branch of the Moscow City University. The sample included 2 men and 21 women, aged 17–18. To assess the level of development of subjectivity stages, the “Diagnostics of the Stages of Student Agency Formation” methodology (OSC-S6) by A. V. Kaptsov and E. I. Kolesnikova was used. Engagement in the use of artificial intelligence was studied using the “Engagement in the Field of Artificial Intelligence” questionnaire (S. L. Lenkov, N. E. Rubtsova, E. S. Nizamova).

Results. The existence of a relationship between the degree of engagement in the field of artificial intelligence and the level of agency formation stages has been proven. Regression analysis revealed the influence of affective and behavioral engagement on such stages of agency formation as: “apprentice”, “pupil”, “master”, and “creator”.

Research implications lie in discovering the influence of engagement in the field of AI on the development of students’ agency formation stages. The existence of the “Dunning-Kruger effect in conjunction with AI” has been proven as a result of the use of artificial intelligence services, which leads to an increase in self-esteem of personal abilities and an illusion of competence, expressed by an increase in the level of the “master” stage.

About the Authors

E. S. Volkova
Независимый исследователь
Russian Federation

Evgeniya S. Volkova (Moscow) – Independent researcher



A. V. Kaptsov
Moscow City University, Samara Branch
Russian Federation

Alexander V. Kaptsov (Samara) – Dr. Sci. (Psychology), Assoc. Prof., Prof., Department of Pedagogical and Applied Psychology



References

1. Rubinstein, S. L. (2012). Being and Consciousness. St. Petersburg: Piter publ. (in Russ.).

2. Brushlinsky, A. V. (1994). Problems of the Psychology of the Subject. Moscow: Institute of Psychology of the RAS publ. (in Russ.).

3. Ashyrov, N. D. & Elkhova, O. I. (2025). Artificial Intelligence as a Subject of the Post-Information Society. In: Kudryashev, A. F., Elkhova, O. I., eds. Modern Research in Artificial Intelligence: Main Directions and Results: Collection of Articles from the All-Russian Scientific and Practical Conference with International Participation (Ufa, May 22–23, 2025) Pt. 2. Ufa: Ufa University of Science and Technology publ., pp. 16–22 (in Russ.).

4. Kameneva, N. A. (2024). Use of Artificial Intelligence in Higher Education. In: Rubtsov, V. V., ed. Digital Humanities and Technologies in Education (DHTE 2024): Collection of Articles from the V International Scientific and Practical Conference (Moscow, November 14–15, 2024). Moscow: MGPPU publ., pp. 374–386 (in Russ.).

5. Zavodchikov, D. P., Lebedeva, E. V. & Sharov, A. A. (2024). The Future in the Structure of the Subjective Image of Students’ Professional Life. In: Education and Science Journal, 26, 5, 152–181. DOI: 10.17853/1994-5639-2024-5-152-181 (in Russ.).

6. Chopik, O. A. (2025). Artificial Intelligence as a Factor in Transforming Students’ Subjective Position in Higher Education. In: Higher Education in Russia, 34, 8-9, 54–73 (in Russ.). DOI: 10.31992/0869-3617-2025-34-8-9-54-73.

7. Kohnke, L., Moorhouse, B. L. & Zou, D. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. In: Learning and Individual Differences, 103. URL: https://www.sciencedirect.com/science (accessed: 11.01.2026).

8. Bozkurt, A. (2024). Generative Artificial Intelligence and Educational Futures: Utopian or Dystopian? In: Asian Journal of Distance Education, 19, 1. URL: https://www.asianjde.com/ojs (accessed: 11.01.2026).

9. Fernandes, D., Villa, S., Nicholls, S. et al. (2026). AI Makes You Smarter but None the Wiser: The Disconnect Between Performance and Metacognition. In: Computers in Human Behavior, 175. URL: https://www.sciencedirect.com/science/article/pii (accessed: 12.01.2026).

10. Dai, Y., Liu, A. & Lim, C. P. (2023). Reconceptualizing ChatGPT and Generative AI as a Student-Driven Innovation in Higher Education. In: Procedia CIRP, 119, 84–90. DOI: 10.1016/j.procir.2023.05.002.

11. Panov, V. I. (2014). Eco-Psychology: A Paradigmatic Search. St. Petersburg: Nestor-Istoriya publ. (in Russ.).

12. Lenkov, S. L., Rubtsova, N. E. & Nizamova, E. S. (2025). Questionnaire “Involvement in the Sphere of Artificial Intelligence” and Its Psychometric Properties. In: Yaroslavl Pedagogical Bulletin, 1 (142), 179–196. DOI: 10.20323/1813-145X-2025-1-142-179 (in Russ.).

13. Lenkov, S. L. & Rubtsova, N. E. (2025). Social and Professional Determinants of Involvement in the Sphere of Artificial Intelligence. In: Vestnik of Tver State Iniversity. Series: Pedagogy and Psychology, 1 (70), 82–94. DOI: 10.26456/vtpsyped/2025.1.082 (in Russ.).

14. Dunning, D. (2011). The Dunning–Kruger Effect: On Being Ignorant of One’s Own Ignorance. In: Advances in Experimental Social Psychology, 44, 247–296. DOI: 10.1016/B978-0-12-385522-0.00005-6.

15. Ward, A. F. (2021). People Mistake the Internet’s Knowledge for Their Own. In: Proceedings of the National Academy of Sciences (Proceedings of the National Academy of Sciences of the United States of America), 118 (43). URL: https://www.pnas.org (accessed: 12.01.2026).


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ISSN 3033-6430 (Print)
ISSN 3033-6414 (Online)