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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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Квалификационные статусы работающих россиян: иерархия и особенности распределения

Мониторинг общественного мнения: Экономические и социальные перемены. 2018. № 6. С. 112–129.
Коленникова Н. Д.

The subject of the analysis in this article is the hierarchy of working Russians ' statuses from the point of view of their qualification. The article clarifies the wording of the concept of qualification status and tests specific indicators for its evaluation in modern Russian society. The method of construction of the qualification status scale is described. The results of the analysis of indicators of this scale for the working-age population of Russia are shown. The structure of the obtained status hierarchy and the ratio of the person's place in it with its other characteristics are analyzed (ascriptive characteristics, professional affiliations, self-assessment of your professional skills etc.). It is determined that of the ascriptive characteristics of the most important for the qualification status of the employee is his age. The specificity of the qualification status of working Russians from different educational and professional groups also are analyzed. Special attention paid to comparison of objective indicators of qualification status of Russians with subjective assessments of this status. The empirical basis for the analysis was the data of the 25th wave of the annual survey of HSE RLMS held in 2016.

Research target: Sociology (including Demography and Anthropology
Priority areas: economics sociology
Language: Russian
DOI
Text on another site
Keywords: образованиесоциальный статусeducationкомпетенцииcompetencesprofessional skillsпрофессиональные навыкиsocial statusstatus consistencyqualification statusстатусная консистентностьквалификационный статусstatus hierarchy
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