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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
‘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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Политика университетов по поддержке студентов в условиях академической неоднородности

University Management: Practice and Analysis. 2019. Vol. 5. No. 23. P. 31–42.
Zagirova F., Froumin I.

The aim of this work is to review and analyse the support and development practices for students based on their educational background and academic performance. The increasingly widespread concept of a responsible university involves an opportunity to close or make smaller the gap between academically diversified students. Thus, the purpose is to systematise the practice of working with both low and high-achieving students and assess the possibilities for improving the quality and effectiveness of this work. The analysis regarding existing practices of Russian and international universities is based on the literature review of more than 1600 sources. The review provides identification, comparison and systematisation of common practices used by departments and universities rather than individual teachers. A classification of practices at the stages of identifying, developing and evaluating low and high-achieving students is proposed. Recommendations are formulated for expanding the support and development of students under the conditions of academic diversity and for improving the quality and effectiveness of the educational process.

Language: English
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Keywords: зарубежный опытinternational experienceроссийский опытRussian experienceакадемическая неоднородностьlow-achieving studentsacademic diversitystudent supportdevelopment practiceshigh-achieving studentsпрактики поддержки и развития студентовстуденты с высокой успеваемостьюстуденты с низкой успеваемостью
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