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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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Pandemic Effects on Russian Higher Education: Force Majeure Notes

Higher Education in Russia and Beyond. 2020. No. 27. P. 23–24.
Abramov R., Terentev E.

The forced transition to distance learning in March 2020 was a stress test for the Russian higher education system. It affected all aspects of university life and demanded a radical restructuring of internal processes and principles. It also affected external communications with the regulator and other participants in the events, some of whom were not directly related to education, but began to play a decisive role in a pandemic (for example, the Russian Ministry of Health). Students, teachers and researchers were forced to adapt to the new conditions and to master new digital technologies and work methods, often experimenting on themselves, their colleagues and students through trial and error. The administration of universities and the Ministry of Science and Higher Education (MoSHE) needed to organize and provide infrastructure for this unprecedented "experiment" extremely quickly. Despite all the difficulties and problems, the Russian higher education system as a whole, passed this stress test. However, the pandemic has exposed a number of systemic challenges and problems that go beyond the current moment and are important for the development of higher education in general. One of these challenges is the ineffectiveness of hierarchical management models with declining institutional and academic autonomy. This text discusses this problem and reflects on solutions for restructuring universities in the post-pandemic period.

Priority areas: sociology
Language: English
Full text
Text on another site
Keywords: educational reformsAcademic and teaching staffCOVID-19
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