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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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Родительская оценка эффективности социальной интервенции в проблемную семью с детьми

Журнал социологии и социальной антропологии. 2025. Т. 28. № 2. С. 182–210.
Abramov R., Rozhdestvenskaya E., Sablya A.

Evidence-based social policy has become a prevalent approach to managing social programs, relying heavily on evaluation procedures often intertwined with sociological methods. This article analyzes the implementation of one such evaluation procedure—feedback from recipients of social intervention—within a comprehensive assessment of an interdisciplinary team’s intervention technology addressing child rights violations. Interviews with family members participating in the program were conducted. Findings indicate progress and resocialization within families, demonstrating increased awareness of their problems and engagement in efforts toward social normalization. However, this perspective contrasts with the more optimistic evaluations provided by experts and specialists. While family members acknowledged progress and viewed it as hope for a better future, their confidence in overcoming existing problems was less pronounced. Nevertheless, the study documents demonstrable progress, including a reduction in child abuse cases attributable to the intervention technology. This success is significantly linked to the advanced skills of the specialists implementing the technology and their altered approach to case management. The empathetic and collaborative approach of the caseworkers, coupled with the technology’s components, fostered optimistic expectations among clients, motivating them to change their lives and break cycles of dependence, poverty, and domestic violence. The study, however, also reveals limitations to the technology’s applicability, particularly concerning families with low initial resources and complicating factors such as alcohol and substance abuse. Furthermore, interaction with caseworkers and other specialists fostered the acquisition of new skills, including a familiarity with the language of psychology and social work. This, however, also presents a potential risk of dependency and reliance on continued support. This article contributes to the methodological advancement of evidence-based social policy.

Research target: Social Sciences Sociology (including Demography and Anthropology
Language: Russian
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Keywords: социальная политикаsocial policyevaluationсоциальная работаоцениваниеsocial workParenting семья родительство
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