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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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Роль уровня вербальной репрезентации в принятии решения в условиях категориальной неопределенности

Экспериментальная психология. 2022. Т. 15. № 3. С. 199–212.
Судоргина Ю. В., Котова Т. Н., Kotov A. A.

In this study we replicated (N=77) the effect of a decision making under uncertain categorization (i.e. basing the decision on a few categories simultaneously): when uncertainty was high, participants considered a few categories for a decision more often than when uncertainty was low, therefore, they made rational decisions more often [6]. Moreover, in Chen and colleagues’ study making rational decisions was not affected by the framing of category information. In the next part of our study (N=134) we further measured participants’ level of verbal representation using a scale from adapted version of Internal Representation Questionnaire [14] and found a relationship between framing of the task and rational decisions. Low level of verbal representation was followed by the greatest number of rational decisions in tasks with the choice frame, whereas middle and high levels of verbal representation were accompanied by the biggest number of rational decisions in tasks with the category frame. Since the level of verbal representation did not directly influence on the quantity of rational decisions, we proposed that verbal representation is connected with shifting attention either on categorical differences or on information about decision consequences during decision making process.

Research target: Psychology
Language: Russian
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Keywords: принятие решенийкатегориярепрезентацияrepresentationcategoryвербализацияdecision makingverbalizationrational decisionBayes ruleправило Байеса
Publication based on the results of:
Brain and math: Cognition, age, and environmental factors (2022)
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