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News
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-digital interaction: the state of the field, weaknesses and solutions

Acta Psychologica. 2025. Vol. 259. Article 105229.
Anufrieva A.

The present review aims to examine the current state of research in the field of cognitive-digital interaction (CDI). CDI is a field of fundamental research studying the regularities of cognitive processes under the influence of digital environment. The article defines key concepts, such as “cognitive system”, “environment”, and “artifact” and exploring theoretical frameworks for the relationship between them. The review focuses on three main areas: cognition in real vs. digital environments, cognitive processes with digital presence, and cognition within digital environments, concentrating on attention and memory. The review reveals a gap between theoretical approaches, models of environmental/artifact characteristics, and empirical studies. Most studies are exploratory or based on specific niche theories. This lack of systematicity leads to a wide variety of research methodologies and contexts, as well as low reproducibility of findings. According to the analysis of empirical studies, the differences between real and digital environments, as well as the influence of the digital environment in the context of cognition, are related to cognitive and perceptual load/offload and depth of information processing. Also, the empirical findings demonstrate a complex interplay of characteristics of environments that are not reducible to a quantitative principle (there is/isn't some characteristics or more or less of them). Therefore, it is proposed to take into account all these factors in order to develop a unified theoretical model.

Research target: Psychology
Language: English
DOI
Text on another site
Keywords: вниманиепамятьattentionmemoryhuman-digital interactionчеловек-цифровое взаимодействиеcognitive-digital interactionкогнитивно-цифровое взаимодействие
Publication based on the results of:
Cognitive processes in the information environment: phenomena and explanatory models (2025)
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