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News
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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Социальный капитал и образовательные ожидания семей

Т. Современная аналитика образования. Вып. 1(75). M. : HSE University, Institute of Education, 2024.
Sergey M., Бородай О. А., Shcherbakova D., Рыбакова Е. Р., Борзых А. А.

Educational expectations can determine future career trajectories. Differences in expectations are not always determined by academic performance alone, but are also closely related to the family characteristics of students. The important role of family economic and cultural capital in shaping educational plans and career trajectories is well researched and evidenced. The focus of this paper is on a less studied aspect of this issue, namely the differentiation of educational expectations in the context of family social capital. The aim of the study is, firstly, to analyse the characteristics of Russian families’ social capital in the context of other (cultural and economic), and secondly, to illustrate the linkage between social capital, educational expectations and anticipated educational trajectories of Russian families. This analysis would be useful for educational researchers and a wide range of readers interested in students’ career expectations.

Research target: Social Sciences Education
Language: Russian
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Keywords: социальный капиталвысшее образованиеобразовательные траекториитретичное образованиеsocial capitalобразовательное неравенствоtertiary educationeducational trajectoriescareer expectationsкарьерные ожидания educational inequalitycareer aspirationsобразовательные ожидания higher education
Социальный капитал и образовательные ожидания семей
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