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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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Многомерная модель формирования цифрового доверия пользователей цифровых сервисов: результаты эмпирического исследования

Вестник Московского университета. Серия 6: Экономика. 2023. Т. 58. № 4. С. 165–200.
Tunkevichus E., Rebiazina V. A.

The paper addresses the development of a multidimensional model of consumer trust of online services users, including such dimensions as trust in the effectiveness of regulatory activities of the state, consumer trust in online services, interpersonal trust, and predisposition to trust. Consumer trust studies in Russia are conducted primarily either in an offline context, or with an emphasis on only one of the dimensions of trust, at the same time Russian studies are mainly conceptual. The presented study is the first in Russia conducted using empirical tools and analyzing consumer trust as a multidimensional construct in an online context. The object of the empirical study is the users of online services – representatives of generations Y and Z, with the sample of the pilot study of 388 respondents, the Structural Equation Modeling method (PLS–SEM) used for analysis. The study reveals a significant influence of the predisposition to trust and the perceived effectiveness of the regulatory activities of the state on interpersonal trust. A significant positive influence of trust predisposition on the trust in online service is also confirmed, but no significant influence of the perceived effectiveness of the regulatory activity of the state on the trust in the online service was found. The study reveals a significant influence of interpersonal trust on trust in online services and the influence of trust in online services on consumers’ intention to use the service. The present effects of mediation and moderation are tested in the model. The presented research is relevant not only from a theoretical point of view, but also from a practical one, since the developed model allows us to identify the factors that form consumer trust in the online service. The findings demonstrate the perceived characteristics of the company which form consumer trust, and the factors that can reduce the negative impact of consumer distrust on the intention to use the service

Research target: Economics and Management
Language: Russian
DOI
Keywords: довериеtrustSEMSEMмногомерная модельцифровое довериеonline-trust multidimensional model
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