Investigating the relationship between university students’ attitudes toward artificial intelligence and their artificial intelligence literacy
1 Kazan State Institute of Culture, Kazan, RUSSIA
2 Kazan (Volga region) Federal University, Kazan, RUSSIA
3 Bauman Moscow State Technical University, Moscow, RUSSIA
4 National Research University “Moscow Power Engineering Institute”, Moscow, RUSSIA
5 Peoples’ Friendship University of Russia (RUDN University), Moscow, RUSSIA
6 Sechenov First Moscow State Medical University, Moscow, RUSSIA
* Corresponding Author
This study aims to examine the relationship between university students’ attitudes towards artificial intelligence (AI) and AI literacy levels. A quantitative research method was used using the relational survey model to determine whether students’ attitudes of AI, both positive and negative, were related to their understanding and application (literacy) of AI concepts. The data were collected with the AI attitude scale and the AI literacy scale. The data were analyzed using descriptive statistics, comparative analyses, correlation analysis, and multinominal logistic regression analysis to determine the strength and nature of the relationship between AI attitudes and literacy. The results of the research determined that the students generally had a moderate level of AI literacy, their positive attitudes were high and their negative attitudes were moderate. It was determined that male students and upper-grade students had higher AI literacy and positive attitudes, while engineering and social sciences students had more positive perspectives among disciplines. Correlation analyses show that there are significant positive relationships between AI literacy and positive attitude, and negative relationships between negative attitudes. The model explains the AI literacy level with a rate of 38.6%. According to the findings of the research, it is recommended that university administrations offer course contents, workshops and certificate programs that will increase AI literacy by considering discipline-based differences. It is recommended to disseminate informative and guiding activities, especially in areas where negative attitudes are high, such as health sciences. On the other hand students should make individual efforts to learn not only the user level, but also the technical, ethical and social dimensions of AI. It is important for them to evaluate technology in line with the principles of critical thinking, ethical awareness and digital responsibility.
Akhmadieva, R. S., Sakhieva, R. G., Khvatova, M. A., Erokhova, N. S., Sizova, Z. M., & Shindryaeva, N. N. (2026). Investigating the relationship between university students’ attitudes toward artificial intelligence and their artificial intelligence literacy.
Contemporary Educational Technology, 18(2), Article ep644.
https://doi.org/10.30935/cedtech/18082
Akhmadieva, R. S., Sakhieva, R. G., Khvatova, M. A., Erokhova, N. S., Sizova, Z. M., and Shindryaeva, N. N. (2026). Investigating the relationship between university students’ attitudes toward artificial intelligence and their artificial intelligence literacy.
Contemporary Educational Technology, 18(2), ep644.
https://doi.org/10.30935/cedtech/18082
Akhmadieva RS, Sakhieva RG, Khvatova MA, Erokhova NS, Sizova ZM, Shindryaeva NN. Investigating the relationship between university students’ attitudes toward artificial intelligence and their artificial intelligence literacy.
CONT ED TECHNOLOGY. 2026;18(2), ep644.
https://doi.org/10.30935/cedtech/18082
Akhmadieva, Roza Sh., Regina G. Sakhieva, Maria A. Khvatova, Natalya S. Erokhova, Zhanna M. Sizova, and Natalya N. Shindryaeva. "Investigating the relationship between university students’ attitudes toward artificial intelligence and their artificial intelligence literacy".
Contemporary Educational Technology 2026 18 no. 2 (2026): ep644.
https://doi.org/10.30935/cedtech/18082
Akhmadieva, Roza Sh. et al. "Investigating the relationship between university students’ attitudes toward artificial intelligence and their artificial intelligence literacy".
Contemporary Educational Technology, vol. 18, no. 2, 2026, ep644.
https://doi.org/10.30935/cedtech/18082
Akhmadieva RS, Sakhieva RG, Khvatova MA, Erokhova NS, Sizova ZM, Shindryaeva NN. Investigating the relationship between university students’ attitudes toward artificial intelligence and their artificial intelligence literacy. CONT ED TECHNOLOGY. 2026;18(2):ep644.
https://doi.org/10.30935/cedtech/18082