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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
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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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Turkish Students’ Academic Adjustment in Russian-Medium Higher Education: Academic Russian, Social Support, and Institutional Contexts

Journal of International Students. 2026. Vol. 16. No. 8. P. 195–220.
Ulgen H.

This qualitative study examines how academic Russian, institutional conditions, and social support shape the academic adjustment of Turkish undergraduate and graduate students enrolled in Russian-medium degree programs in Moscow. Drawing on phenomenologically informed semi-structured interviews with 15 students at three universities, the study employs reflexive thematic analysis and develops a study-specific 4A framework (Access, Amplification, Authentication, Awareness). The findings show that dense academic Russian, bureaucratic procedures, and instructor-centered classroom norms constrain participation, while peer networks and social support infrastructures help students navigate institutional expectations and sustain academic engagement. The study contributes to international student research by highlighting how linguistic regimes, institutional structures, and social support interact in non-Anglophone higher education contexts.

Research target: Education Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration Psychology
Language: English
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Keywords: иностранные студентыsocial supportсоциальная поддержкаrussian higher educationроссийское высшее образованиеакадемическая адаптацияacademic Russianадаптация к образовательной среде, иностранные студенты, копинг-стратегии, стратегии совладания со стрессомInternational StudentsTurkish studentsacademic adjustmentакадемический русский языктурецкие студенты
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