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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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Mechanisms underlying disfluency effects: a systematic review

Психологические исследования: электронный научный журнал. 2026. Vol. 19. No. 108. P. 3–22.
Tsigeman-Gorenko E.

Introduction. Although some studies link disfluency – the subjective experience of difficulty in processing information – to cognitive and metacognitive benefits, empirical findings remain inconsistent, often showing null or negative effects, while theoretical explanations remain fragmented. Objective. The aim of this review was to systematize and clarify the mechanisms through which disfluency influences cognitive, metacognitive, and behavioral outcomes. Methods. A systematic review of 110 empirical studies was conducted. Results. Five key mechanisms were identified: (1) disfluency as a metacognitive cue, (2) disfluency as a signal of cognitive engagement, (3) processing-based changes, such as compensatory processing, (4) affective and hedonic marking, and (5) moderation by naïve theories. The most robust effect concerns metacognitive illusions: disfluency lowers judgments of learning without affecting actual memory performance. Cognitive benefits emerge only under specific conditions, such as high working memory capacity or motivation, whereas many high-quality studies report no disfluency effects at all. Conclusions. The field needs to move toward mechanism-specific research. To support this direction, the review presents a library of manipulations and control conditions, as well as recommendations for empirically testing precise theoretical predictions.

Research target: Psychology
Language: English
DOI
Text on another site
Keywords: суждениеmetacognitionметапознаниеjudgementне-беглостьdisfluency mechanisms of disfluency механизмы не-беглости
Publication based on the results of:
Analysis of Human Interaction with Information and Improvement of Algorithms of Information Processing (2025)
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