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  • Дидактические возможности нейросетей в контексте полимодального обучения иностранным языкам (на примере генерации изображений).
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News
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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Дидактические возможности нейросетей в контексте полимодального обучения иностранным языкам (на примере генерации изображений).

Иностранные языки в школе. 2024. № 10. С. 78–85.
Popova A.

The development of artificial intelligence technologies, and neural networks in particular, is accelerating every day. The process of their integration into foreign language teaching is becoming increasingly obvious to teachers and students. Thanks to the various functions of neural networks, new opportunities for teaching foreign languages are opening up. This article is a continuation of the series of articles on the integration of neural networks into multimodal teaching of foreign languages, published in №№ 7 and 9 in 2024. The author focuses on the multimodal approach, which combines different ways of perceiving information, and explains how neural networks can help in the implementation of this approach. The article describes neural networks created for generating images and their unique didactic capabilities, which they represent and allow to significantly diversify and enrich the learning process, making it more adaptive and interactive.

Research target: Education
Language: Russian
Keywords: изображениевизуализациянейросетьпромптискусственный интеллект в изучении иностранного языкаИнформационные технологииполимодальное обучение
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