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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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Perpetuating inequality through participation in adult learning and education in Russia

International Journal of Lifelong Education. 2022. Vol. 41. No. 4-5. P. 513–532.
Karmaeva N., Kosyakova J.

We apply cumulative advantage (CA) theory to understand the social hierarchies behind the accumulation of skills and rewards through Adult Learning and Education (ALE) – formal, informal, and non-formal. Using representative data from the Russian Longitudinal Monitoring Survey (RLMS-HSE), we confirm the assumption of CA theory that advantages are accumulated through ALE, not only within social groups, but also between them. For individuals coming from educationally advantaged families but without higher education, participation in informal non-job-related ALE and formal ALE enhances employment chances. It is therefore a strategy to compensate for the lack of higher education for those coming from educationally advantaged families. For those coming from less educationally advantaged families, higher education moderates the positive effect on wages of non-formal ALE without employer support. Rather than being a way to compensate for between-group inequalities, this type of ALE allows for labour market adaptation for the educationally disadvantaged and has positive effects within the group. We conclude that various types of ALE are institutionalised into different paths of human capital accumulation.

Research target: Education Sociology (including Demography and Anthropology
Language: English
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DOI
Text on another site
Keywords: образование взрослыхparental educationобразование родителейсоциальное и экономическое неравенствоsocial and economic inequalityadult learning and educationcumulative disadvantagesнакопление неравенства
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