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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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Corrigendum: The Authenticity Scale: Validation in Russian Culture

Frontiers in Psychology. 2021. Vol. 12. Article 675919.
Nartova-Bochaver S. K., Reznichenko S. I., Maltby J.

Copyright © 2021 Nartova-Bochaver, Reznichenko and MaltbyIn the original article, there was a mistake in Figure 3 “The optimal CFA model tested for the Authenticity Scale compared with the original model (Wood et al., 2008).” as published. Near the item 1, which is included in Acceptance External Influence subscale, the sign “–” was mistakenly put. It should be removed. The corrected Figure 3 “The optimal CFA model tested for the Authenticity Scale compared with the original model (Wood et al., 2008)” appears below. In the original article, there was also a mistake in the Appendix table “The Authenticity Scale: Original, Russian, and Corresponding English Versions” as published. The text of Item 1 (both English and Russian Wording) was incorrectly highlighted in bold. The text should be in normal (regular) style. The corrected Appendix table “The Authenticity Scale: Original, Russian, and Corresponding English Versions” appears below. The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated. Appendix The Authenticity Scale: Original, Russian, and corresponding English versions. Инструкция: Пожалуйста, прочтите список приведенных утверждений и оцените их с точки зрения того, насколько они характеризуют Ваши привычки и поведение. Поставьте галочку в ячейке под тем ответом, который подходит Вам. Instruction: Please read the list of statements provided and rate them in terms of how they characterize your habits and behavior. Please tick the answer that best describes you. (Figure presented.).

Research target: Psychology
Language: English
Full text
DOI
Keywords: reliabilityvalidationRussian culturewellbeingAuthenticity Scale
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