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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
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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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A simulation model for educational process planning in an institution of higher education

Business Informatics. 2017. No. 2 (40). P. 57–67.
Gorbunov A. A., Isaev E. A., Morgunov A. F.

In universities and technical colleges with relevant IT qualifications in one semester multiple streams, courses and specializations can use software products for training purposes. IT services of universities should deal with the challenge of creating the infrastructure of educational applications that can support the educational process. We note that the number of specializations which study information technology are growing every year (for example, in HSE there are disciplines-minors, which can enroll students coming from any field). Also in the recent years, online courses have started to become popular. If the load is not planned ahead taking into account future trends, the power of even the most high-tech infrastructure will be insufficient. Calculation of the corresponding load on the infrastructure must be made in the planning process of the disciplines, so that we can reserve appropriate facilities, and thus organize an effective learning process.

Software developers use a variety of benchmarking tools that are complex and do not provide the necessary information for the participants of educational process planning.

This article discusses the construction of a simulation model that supports the educational process planning. The simulation is carried out using the capabilities of the tool AnyLogic 7. The aim of this work is to develop a simulation model designed to estimate the load on the information system used in the educational process. In addition, besides the description of the model, the article presents the results of calculations used for various options of the information system (private cloud or on a server at the university). The simulation results were confirmed by data obtained during practical classes at the university. This model gives us the opportunity to plan the educational process in order to achieve uniformity of the load on the services. If necessary, the model allows us to make a decision about the location of the educational information system: on servers of the university or in a private cloud.

Research target: Computer Science Education Mathematics
Priority areas: IT and mathematics business informatics mathematics
Language: English
DOI
Keywords: учебный процессинформационная системаимитационная модельИТ-инфраструктураeducational processERP-системаIT infrastructureчастное облакоERP systemsinformation system simulation model private cloud
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