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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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Культуры вовлеченности в студенческое самоуправление в российских вузах: тусовщики, прагматики и граждане

Вопросы образования. 2024. № 4. С. 61–94.
Efimov D. B., Batischev A., Kostyuk A., Махсон А. М., Svoyski M.

The aim of this research is to explore the main models of student engagement in university self-government in Russia, to understand and categorize what drives the students’ participation in these institutions. The main content of the paper is based on a multi-stage coding and thematic analysis of 72 interviews conducted in the autumn of 2022 with student leaders of various Russian universities. The analysis results allow us to highlight three main student cultures of participation in representation bodies: the basic one is characterized by a predominant focus on personal socialization and individual development, the pragmatic one emphasizes the importance of financial and career incentives, while the civic one includes an orientation towards social recognition, helping others, and addressing public issues. The results provide valuable information for developing strategies to enhance the efficacy of working with different groups of students in Russian student representation, both at the institutional university level and at the regional or national level.

Research target: Education
Language: Russian
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Keywords: студенческое самоуправлениестуденческая вовлеченностьstudent representationstudent self-governmentстуденческое представительствоstudent engagementstudent councilsстуденческие советы
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