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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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Educational Robotics and the Learning Process: In Search of Key Effects

Innovations. 2024. No. 78. P. 1354–1371.
D. K. Malekova, A. Y. Shashkov, N. N. Veselitskaya

Educational robotics is becoming an important part of the education system in a number of countries around the world. Educational robotics is being gradually integrated into various stages of education such as preschool, secondary, vocational and additional education. There is a growing number of studies in the field of studying robotics in the educational process. This topic is relevant due to the development of artificial intelligence and robotics, and the introduction of these products into the education system. Aim: The purpose of this paper is to explore the impact of educational robots on the learning process in general and to determine the effects that robots have on the educational environment, students themselves and their learning outcomes. Methodology and research methods. Through a bibliographic analysis, we have identified several positive effects of using educational robots, including increased student motivation and learning efficiency, advancement of lateral thinking and worldview, development of a comfortable educational environment, shaping an improved education strategy, gamification of educational process, and improvement of social skills. Results: The results indicate that the use of educational robotics has significant potential for improving the quality of education in various fields and promoting more flexible and innovative learning models. Scientific novelty. Each of positive effects of using educational robots, the features of their formation, as well as the characteristics of educational robots that allow effects to be achieved are discussed in detail.Practical significance.The article describes the effects of introducing robots into education, which is possible to improve its quality at various stages and areas.

Research target: Education
Language: English
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Keywords: educational environmentlearning processeducational roboticsrobotics educationeffects of robotics
Publication based on the results of:
Development of a New Methodology to the Global Trends Analysis Based on Big Data Mining (2024)
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