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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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Ловушки дифференциации в финансировании российских вузов

Актуальные проблемы экономики и права. 2016. Т. 10. № 2. С. 38–58.
Abankina I., Abankina T., Filatova L.

Objective: to identify the causes and consequences of the increasing stratification of higher educational institutions by the volumes and sources of financing, as well as by the areas of training. Methods: during the research we used methods of statistical and economic analysis of the results of the universities’ activities. Using econometric models, the relationships were estimated of the resource base of higher education, industrial and economic potential of Russian regions; an empirical analysis of factors influencing the increasing public demand for higher education was conducted. Results: the trends of structural changes in the demand for higher education in Russia during the period from 2001 to 2014 were described, the regional differentiation of financial provision of higher educational institutions in the transition to effective contract work was evaluated. The major risks were identified, associated with: the structural mismatch of the demand for higher education from families and the offer of admission quotas for the budget-funded education; with increasing regional differentiation, which provokes the separation of the Russian universities by the volumes and sources of financial provision; with high commitments to increase the salaries of the teaching staff leading to a shortage of funds for maintenance of the property complex and ensuring of the educational process, which jeopardizes the quality of educational programs’ implementation. Scientific novelty: basing on the empirical analysis using econometric models, the tendencies are identified of structural changes in the demand for higher education in the Russian regions; the impact is assessed of the economic crisis and the payable demand of families on the financial provision of universities; risks are identified and justified in the differentiation of Russian universities’ financing. Practical significance: the main provisions and conclusions of the article can be used by experts in the field of Economics and Management in designing financial provision and development strategies of higher educational organizations.

Research target: Education
Priority areas: economics state and public administration
Language: Russian
Full text
Text on another site
Keywords: численность студентовнаправления подготовкиконтрольные цифры приемаспрос на высшее образованиеплатное обучениеэкономика и управление народным хозяйствомисточники доходов вузовзаработная плата профессорско-преподавательского состава
Publication based on the results of:
Exploring the factors that influence the creation of value added in higher education in the context of transformations in the education economics (2014)
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