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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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Cognitive efficiency and expertise-dependent automaticity in the working memory performance of bilinguals

Brain and Cognition. 2025. Vol. 187. Article 106308.
Federico Gallo, Liliia Terekhina, Jubin Abutalebi, Yury Shtyrov, Andriy Myachykov

The concepts of cognitive efficiency (CE) and expertise-dependent automaticity are central to the understanding of cognitive adaptations related to bilingual experiences. This study examined their behavioral manifestations in bilingual young adults by manipulating the cognitive load of a working memory task; the possibility to manipulate the difficulty of a cognitive task is necessary to observe behavioral outcomes associated with CE and automaticity. To this end, participants completed an n-back task ranging in difficulty from 0-back to 3-back, with the 3-back condition being commonly recognized as being a highly cognitively demanding one. We aimed to determine whether degree of bilingual experience could predict performance outcomes – accuracy, reaction times, and the speed/accuracy tradeoff – reflecting bilingualism’s putative dynamic impact on CE and automaticity in working memory. The results showed a positive relationship between degree of bilingual experience and working memory performance, particularly when the task-induced cognitive load increased. More experienced bilinguals demonstrated a smaller decline in performance when task difficulty intensified, a behavioral manifestation compatible with increased CE. Additionally, a relationship with expertise-dependent automaticity emerged, with the speed/accuracy tradeoff trajectory unfolding differentially across varying task difficulties at different degrees of bilingual experience.

Research target: Medical and Health Sciences Psychology
Language: English
DOI
Text on another site
Keywords: bilingualsCognitive efficiency working memory
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