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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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CEUR Workshop Proceedings. Proceedings of the International Conference "Internet and Modern Society" (IMS-2020)

Vol. 2813: Information Systems for Science and Education. CEUR-WS.org, 2021.
Under the general editorship: Voiskounsky A. E., А. В. Чугунов, R. Bolgov

Deliberative reasoning is widely used in various fields of human activity. In the modern information society, the use of methods of deliberative argumentation is associated with the development and use of appropriate application software, which is intended for visualization and modeling of intellectual activity to solve various types of practical problems, as well as argumentation. At the same time, various software designed for modeling and representation of argumentation explicitly or implicitly contains its conceptual grounds for argumentation. In this study, based on the identification of software intended for the simulation of deliberative reasoning, analysis of its purpose and main functions, the conceptual foundations of their functioning are determined, which is the initial stage for the formulation of a body of criteria for evaluating this software and its subsequent classification. The authors propose two preliminary independent classifications based on conceptual grounds, which are significant characteristics for the classification of the corresponding software.

Chapters
Study of Conceptual Bases of Software Functioning for the Representation of Deliberative Argumentation
Lisanyuk E., Prokudin D., , in: CEUR Workshop Proceedings. Proceedings of the International Conference "Internet and Modern Society" (IMS-2020)Vol. 2813: Information Systems for Science and Education.: CEUR-WS.org, 2021. P. 22–31.
Added: October 18, 2021
Research target: Philosophy, Ethics, and Religious Studies Computer Science
Language: English
Sample Chapter
Text on another site
Keywords: argumentationsoftware evaluationdeliberative reasoning
CEUR Workshop Proceedings. Proceedings of the International Conference "Internet and Modern Society" (IMS-2020)
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