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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.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Изучая многообразие образовательного поведения в университете: возможности для концептуализации

Вопросы образования. 2024. № 2. С. 111–138.
Maloshonok N., Vilkova K., Dremova O.

Student learning behavior is often considered as a main predictor of learning outcomes at university. However, in previous studies, it has been conceptualized and measured only fragmentarily. Researchers focused on certain aspects of learning behavior, or tried to build a typology of behavioral patterns that oversimplified this phenomenon and could not describe and explain all its diversity. In this paper, we try to overcome the shortcomings of previous conceptualizations of learning behavior by building our own conceptual model for this concept. Based on the analysis of 119 semi-structured interviews with students from eight Russian universities, we identify five main characteristics of learning behavior that can be used to describe the majority of behavioral patterns at universities. They are the following: 1) academic diligence; 2) learning activity; 3) integration into the group; 4) conformity; 5) extracurricular activity. In the paper, we give the definition of learning behavior at university and its five aspects, as well as illustrate these aspects with quotations from interviews with students. The developed conceptual model can be used to develop tools for quantitative measurement of learning behavior.

Research target: Education
Language: Russian
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Keywords: образовательная средаучебная мотивацияeducational environmentextracurricular activitiesвнеучебная деятельностьобразовательное поведение learning motivationlearning behavior
Publication based on the results of:
Interventions to educational behavior of students in Russian universities for promoting universal skills and success (2023)
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