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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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Возможности генеративного искусственного интеллекта для проверки академических текстов на английском языке

RHEMA. РЕМА. 2025. № 3. С. 82–102.
Bogolepova S., Греченко А. А.

The paper aims to assess the potential of generative AI for evaluating and providing feedback on academic texts based on criteria that account for the features of anglosaxon academic discourse. Twenty texts in the "Project Proposal" format were evaluated both by an experienced instructor and by generative AI. The scores assigned were analyzed statistically, and the feedback was analyzed thematically. It was found that AI is capable of identifying strengths and weaknesses in students' work and generating feedback based on the criteria; however, the level of agreement between AI and expert scores was low, and the formats of feedback provision differed significantly. The integration of AI can help standardize assessments and facilitate educational analytics, but to ensure reliable evaluation and personalized feedback, the expertise of an instructor is necessary.

Research target: Education Philology and Linguistics
Language: Russian
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DOI
Text on another site
Keywords: generative artificial intelligence in educationгенеративный искусственный интеллект в образованииоценочная обратная связьEnglish-language academic discourseartificial intelligence in language learningevaluative feedbackанглоязычный академический дискурсискусственный интеллект в обучении языкам
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