KFU. Card publication. Investigating the relationship between university students' attitudes toward artificial intelligence and their artificial intelligence literacy

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INVESTIGATING THE RELATIONSHIP BETWEEN UNIVERSITY STUDENTS' ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE AND THEIR ARTIFICIAL INTELLIGENCE LITERACY

Form of presentation

Articles in international journals and collections

Year of publication

2026

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Authors, employees of KFU

Sakhieva Regina Gennadevna, author

Other authors

Akhmadieva Roza Shaykhaydarovna, author

Erokhova Natalya Stanislavovna, author

Sizova Zhanna Mikhaylovna, author

Khvatova Mariya Alekseevna, author

Shindryaeva Natalya Nikolaevna, author

Bibliographic description in the original language

Akhmadieva, R. Sh., 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.

Annotation

Contemporary Educational Technology

Keywords

artificial intelligence, AI literacy, attitudes, university students, technology in education, digital competency

The name of the journal

Contemporary Educational Technology

URL

https://doi.org/10.30935/cedtech/18082

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=324274&p_lang=2

Resource files

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Full metadata record

Field DC	Value	Language
dc.contributor.author	Sakhieva Regina Gennadevna	ru_RU
dc.contributor.author	Akhmadieva Roza Shaykhaydarovna	ru_RU
dc.contributor.author	Erokhova Natalya Stanislavovna	ru_RU
dc.contributor.author	Sizova Zhanna Mikhaylovna	ru_RU
dc.contributor.author	Khvatova Mariya Alekseevna	ru_RU
dc.contributor.author	Shindryaeva Natalya Nikolaevna	ru_RU
dc.date.accessioned	2026-01-01T00:00:00Z	ru_RU
dc.date.available	2026-01-01T00:00:00Z	ru_RU
dc.date.issued	2026	ru_RU
dc.identifier.citation	Akhmadieva, R. Sh., 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.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=324274&p_lang=2	ru_RU
dc.description.abstract	Contemporary Educational Technology	ru_RU
dc.description.abstract	This study aims to examine the relationship between university students' attitudes towards artificial intelligence (AI) and AI literacy levels. A antitative 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 Research Article Akhmadieva et al. 2 / 17 Contemporary Educational Technology, 18(2), ep644 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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	artificial intelligence	ru_RU
dc.subject	AI literacy	ru_RU
dc.subject	attitudes	ru_RU
dc.subject	university students	ru_RU
dc.subject	technology in education	ru_RU
dc.subject	digital competency	ru_RU
dc.title	Investigating the relationship between university students' attitudes toward artificial intelligence and their artificial intelligence literacy	ru_RU
dc.type	Articles in international journals and collections	ru_RU