Educational strategies for using generative artificial intelligence in journalism education
Download paperDoctor of Philology, Associate Professor, Head of the Department of Journalism, Philology, Document Science and Library Science, Ulyanovsk State University, Ulyanovsk, Russia; ORCID 0000-0003-1236-4410
e-mail: olegsamar@rambler.ruSection: Essay
This article presents a pedagogical reflection on three educational strategies for integrating generative artificial intelligence into journalism education. Drawing on observations of three naturally formed student groups (n = 37) across one academic semester, three distinct approaches to AI use in the classroom are described: prohibition, voluntary use, and mandatory structured integration. The study focuses on subjective educational outcomes, including changes in student motivation and the dynamics of professional identity formation in future journalists. The findings suggest that the educational impact of generative AI is shaped not by the technology itself but by the pedagogical intent guiding its use. Special attention is given to data from semi-structured interviews and students’ written self-reflections as the primary source of insight into the changes observed.
DOI: 10.55959/msu.vestnik.journ.4.2026.153170References:
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To cite this article: Samartsev O. R. (2026) Obrazovatel’nye strategii ispol’zovaniya generativnogo iskusstvennogo intellekta v podgotovke zhurnalistov [Educational strategies for using generative artificial intelligence in journalism education]. Vestnik Moskovskogo Universiteta. Seriya 10. Zhurnalistika 4: 153–170. DOI: 10.55959/msu.vestnik.journ.4.2026.153170





