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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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Оценка академической мобильности исследователей: возможности и ограничения существующих подходов

Университетское управление: практика и анализ. 2020. Т. 24. № 4. С. 130–145.
Крячко В. И.

The article discusses methodological approaches to measuring academic mobility when a researcher changes his place of work within the academic environment. Researchers’ academic mobility is a factor of their productivity, it provides knowledge transfer, renews scientific ideas, and in general contributes to the active development of higher edu - cation and science. However, in Russia the phenomenon of academic mobility is not studied sufficiently and demands an estimation of both mobility as a whole, and its factors, and its consequences. There are not many data sources on mobility, and getting corresponding information is often problematic – these factors make it difficult to empirically measure researchers’ academic mobility. This review might be the first step towards filling the gap in empirical research on academic mobility in Russia. The author suggests a detailed analysis of academic mobility assessment methodologies, including surveys, CVs, bibliometric and combined approaches. The article summarizes the experience of practical approaches application, identifies advantages and disadvantages of each of them, and provides their comparative analysis. The author comes to the conclusion that in the absence of a unique approach to measuring the academic mobility, the bibliometric approach, which provides large representative samplings, research results reproducibility, and greater possibilities of mobility factors assessment, best meets the goals of modern research on causality of academic mobility. This paper should help those who study science and higher education in selecting the most suitable approach to academic mobility measurement and in considering a number of nuances of each approach as practically applied in the research planning process

Research target: Education
Priority areas: sociology
Language: Russian
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DOI
Text on another site
Keywords: академическая мобильностьрезюмеопросыadministrative dataадминистративные данныебиблиометрические данные academic mobility curriculum vitaepolls bibliometric data
Publication based on the results of:
Agents of higher education under reforms: universities, professors, students (2020)
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