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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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"Полезные ошибки" и автоматическое создание упражнений по английскому языку

Перевод и сопоставительная лингвистика. 2016. № 12. С. 12–16.
Malafeev A.

In foreign language teaching, various types of linguistic exercises are widely used – in particular, those involving the correction of lexical and grammatical errors in the text. The article describes a method for automatically generating such exercises from arbitrary texts in English. Freedom to choose any text is an important advantage from the point of view of student motivation, since the teacher can adapt the content of the tasks to students’ interests. Two experiments involving expert evaluation of exercises showed that our method is highly effective.

Research target: Computer Science Philology and Linguistics
Priority areas: humanitarian
Language: Russian
Full text
Text on another site
Keywords: blended learningлексико-грамматические упражнениясмешанное обучениеerror correctionавтоматическое создание упражненийTeaching English as a Foreign Language (TEFL)automatic exercise generationlexico-grammatical exercisescomputer-assisted language learningпреподавание английского языка как иностранногоизучение языков с помощью компьютераисправление ошибок
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