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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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Удовлетворенность жизнью в «третьем возрасте» и ее диагностика: адаптация русскоязычной версии LSITA-SF

Психологическая наука и образование. 2022. Т. 27. № 2. С. 19–28.
Zolotareva A., Averina P., Тимошина А. Л.

The aim of this study was to adapt the Russian version of the Life Satisfaction Index for the Third Age-Short Form (LSITA-SF) by E. Barrett [6]. The study involved 203 respondents aged 50 to 83 years. All participants completed a set of sociodemographic questions, LSITA-SF, and instruments assessing apathy, depression, subjective vitality, overall satisfaction with life, and subjective happiness. The results showed that the Russian version of the LSITA-SF has a one-factor structure and demonstrates high internal reliability and convergent validity. An analysis of the socio-demographic differences in the LSITA-SF scores indicated that females and younger respondents had higher scores of satisfaction with life in the “third age” than males and older respondents. It was concluded that the Russian version of the LSITA-SF is a reliable and valid instrument that can be recommended as a scale for screening and monitoring satisfaction with life in the Russian-speaking respondents who are in the “third age”.

Research target: Psychology
Language: Russian
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DOI
Text on another site
Keywords: удовлетворенность жизньюfactor structureфакторная структураlife satisfactioninternal reliabilityconvergent validityвнутренняя надежностьконвергентная валидность"третий возраст"LSITA-SF"third age"LSITA-SF
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