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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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Практики современных российских учителей по предоставлению обратной связи: результаты этнографического исследования

Вопросы образования. 2025. № 2. С. 195–228.
Kholmanskaya M.

The article presents the results of a qualitative study on feedback practices in Russian schools. While a large number of research studies in the area of feedback are being currently conducted worldwide with the aim to examine different prerequisites for feedback effectiveness, it is extremely underestimated in Russia. It results in teachers lacking knowledge and skills in working with feedback. The goal of this study was to observe and describe the ways Russian teachers work with feedback. In the qualitative research 54 lessons given by 19 teachers from different public schools in various settlements were observed and analyzed. 16 categories of oral feedback were identified and 13 of them were described in more detail. It was shown that Russian teachers give a lot of feedback, but it mostly refers to the task level (according to Hattie). The most significant levels of process and self-regulation were rarely observed in the lessons. It is suggested that this situation is due to the lack of teachers’ education in the area of feedback, thus it is proposed to introduce a special course on feedback in teacher training programs. The significance of the study is provided by the fact that it is the first research work in Russian education sciences to describe how teachers in Russian schools give feedback.

Research target: Education
Language: Russian
DOI
Keywords: педагогический дискурсeducational discoursefeedback literacyerror climateклимат ошибкиобратная связь в обученииethnographic research in schoolфидбэкэтнографическое исследование в школе
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