“When Honesty is Good, for Imitation is Bad”: Strategies for Using Generative Artificial Intelligence in Russian Higher Education Institutions
«Когда честность хороша, ибо подражание плохо»: стратегии использования генеративного искусственного интеллекта в российских вузах
2025-02-26
SCID: 54.1/xnrq4gw3
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AI literacyGenAI-powered servicesethical and regulatory normsgenerative artificial intelligencehigher education institutions
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Abstract (AI)
The issue of using generative artificial intelligence (GenAI) in education is the focus of both its advocates and critics. The world academic community is trying to consider the rapidly spreading phenomenon, to determine its place in the educational process and to work out the regulatory framework. The application of GenAI-powered services changes conceptual and didactic foundations of education. In order to predict scenarios of university education development and timely response on the managerial level, the community needs survey data on the use of GenAI-powered services and tools by the educational process actors – university academic staff and students. The paper contributes to the study of patterns of GenAI-powered services use by students and university teachers. The authors surveyed students ( N = 450), researchers and teaching staff ( N = 228) of the Moscow City University. The greater popularity of GenAI among students and a more discreet position on the use of GenAI-powered services by university teachers is determined by different strategies of their use. The complementary function of GenAI-powered services in the active strategy of a university teacher does not change the essence of the educational process compared to the students’ one. The accomplishment of written assignments with the help of GenAI as the most common application of GenAI-powered tools among students transforms the conventional understanding of responsibility and transparency of educational results. The findings highlight the reconsideration of higher education nature and require to transform educational practices in teaching and learning. The authors conclude that the contradictory attitudes towards GenAI require the assumption of ethical and regulatory norms for the use of GenAI-powered services in (higher) education, as well as increasing the level of AI literacy among teachers and students.
Key Findings
1
Contradictory attitudes toward GenAI necessitate ethical/regulatory norms and increased AI literacy for teachers and students.
2
GenAI is more popular among students while university teachers hold a more discreet position, reflecting different usage strategies.
3
Students commonly use GenAI to accomplish written assignments, which alters perceptions of responsibility and transparency of educational results.
4
Surveyed 450 students and 228 researchers/teaching staff at Moscow City University to study GenAI use patterns in higher education.
5
Teachers' active strategy treats GenAI as a complementary tool that does not change the essence of the educational process.
Research Object
Use of generative artificial intelligence (GenAI)-powered services and tools by university students and academic staff in Russian higher education (Moscow City University)
Research Subject
Patterns, strategies, roles, and impacts of GenAI use in teaching and learning—including frequency, complementary vs. transformative functions, effects on responsibility/transparency of student work, and implications for ethics, regulation, and AI literacy
Publication Details
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2025-02-26
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References available in scid.ai7
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Managing the Strategic Transformation of Higher Education through Artificial Intelligence2023
War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education2023
The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future2024