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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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Эмпирический анализ читинга среди студентов на основе опросов

Журнал институциональных исследований. 2023. Т. 15. № 3. С. 40–60.
Барышев И. А., Rozmainsky I. V.

The article examines cheating among students as a special case of opportunism studied by the new institutional economic theory. The study is based on a survey in which more than 500 students from the Higher School of Economics in St. Petersburg took part from March to April 2023. This survey was complemented by an experiment in the form of a multi-question quiz designed to test students' knowledge of popular culture, economics, and technology, with both the format of the quiz and its content encouraging students to be opportunistic. As a result, in such an experimental way, it was possible to prove the connection between the use of a cheat sheet and cheating in everyday life. The authors built five logistic regressions - one for each variable explained in the form of one or another manifestation of cheating - double delivery of work, submission of other people's work, purchase of work, use of a cheat sheet, and fabrication of data. Among the factors influencing the likelihood of belonging to a group of unscrupulous students, one can highlight high income, studying in educational programs such as Management, Economics, Political Science, Public Policy, and Analytics, a focus on performance instead of mastery, being at the bottom of the rating, the presence of retakes, a negative attitude towards academic ratings, distance learning, deviant behavior in the form of theft, violation of prohibitions and stowaways, the external environment, and a short session. This study also made it possible to create a typical portrait of a fraudster at HSE using clustering associated with the identification of unobserved groups based on the presented observed categorical variables

Research target: Economics and Management
Language: Russian
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Keywords: кластерный анализлогистическая регрессияlatent class analysislogistic regressionopportunismоппортунизминституциональный «читинг»student cheating
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