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July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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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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