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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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Практики исследования аудитории в ведущих российских телекомпаниях

Вектор науки Тольяттинского государственного университета. 2016. № 1(35). С. 61–66.
Адемукова Н. В.

The paper covers the modern practices of application of the audience measurements results within large Russian TV channels. The audience measurements are the important source of parameters for mass media performance evaluation. They got traction in all segments of mass information, among which television is the most popular, effective from the point of view of impact and affecting the wide range of target groups. The goal of the research presented by the author in this paper is the study of one of the elements of television company performance – media measurement based on the practices of the audience research in the leading Russian TV companies. To implement the target goal, the author carries out the in-depth interviews with the heads of the audience research departments within Russian TV channels. The in-depth interviews touched upon such subjects as the structure of the audience inner analysis department, types of research carried out or ordered by a television company, the department staff duties, the influence of obtained data on a TV channel viewing grid, and the special aspects of obtaining mediameasurements in the regions. The author analyzes and summarizes the obtained data, considers the main directions of the research results application in the TV channels activity, which are the important integral part when studying the whole media-measuring field. The author is the first who attempts to study the audience analysis practices within media companies basing on the experience of the audience measuring departments within Russian television channels. Based on the results of the research, the author determined such problems as the insufficient knowledge of audience in the regions, the limitation of research activity of many channels only by the “TNS Russia” data secondary analysis. The author specifies the differences in the research activity and the application of media measurement data within commercial and state television channels.

Research target: Philology and Linguistics Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
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Keywords: пиплметрыонлайн-панельистория измерений аудиториимедиахолдинги Россиимедиааналитики российских телеканалов
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