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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Искусственный интеллект в профессиональной деятельности преподавателя иностранного языка: обучение через кейсы

Преподаватель XXI век. 2025. № 3. С. 99–113.
Bogolepova S.

In recent years, the rapid integration of artificial intelligence (AI) technologies into language education has transformed the educational landscape. However, despite the opportunities these tools offer language teachers, AI technologies have limitations that educators must consider when working with them. Currently, there are almost no methodologies aimed at training future foreign language teachers in the pedagogically sound use of AI technologies. This study aims to develop and evaluate an educational technology focused on teaching the strategic use of AI tools through collaborative analysis of methodological case studies. The technology was trialled in a course titled "ICT and Artificial Intelligence in Foreign Language Teaching" with a sample of 35 fourth-year students. The article describes the case analysis technology based on the theory and methodology of foreign language teaching and proposes solutions using AI technologies. Students reported that working with the cases helped them gain an understanding of both the advantages and limitations of AI technologies. They also noted high engagement and the development of critical thinking skills. The ability of AI to create personalized learning materials tailored to individual learners' needs was highlighted. The author emphasises the need for teacher training programmes to include critical examination of the methodological potential of AI alongside its inherent limitations.

Research target: Education Philology and Linguistics
Language: Russian
Full text
Text on another site
Keywords: кейс-методкейс-технологияразвитие критического мышленияdevelopment of critical thinking skillscase methodcase technologyanalysis of educational casesgenerative artificial intelligence in educationteacher professional thinkingанализ учебных кейсовгенеративный искусственный интеллект в образованиипрофессиональное мышление преподавателя
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