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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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Paranormal beliefs and core knowledge confusions: A meta-analysis

Personality and Individual Differences. 2024. Vol. 230. Article 112780.
Gallyamova A., Komyaginskaya E., Grigoryev D.

This meta-analysis examines the relationship between paranormal beliefs and Core Knowledge Confusions (CKC), a concept introduced by Lindeman and Aarnio (2007) to explore the link between ontological errors and belief in the paranormal. The CKC, which uses metaphor classification to assess ontological confusion, suggests that cognitive processes organize information into ontologies, and our interpretation of literal versus metaphorical expressions reflects these categorizations. Despite advancements in education, ontological confusion persists, manifesting in various forms like mentalization of matter, physicalization of the mental, and biologization of the mental. Our analysis, encompassing 25 effect sizes with 16,129 participants from 11 countries and publications over 14 years, found a significant average effect size (r = .40) in the relationship between paranormal beliefs and the CKC, indicating a robust and consistent association across various populations and contexts. The study observed that contextual factors specific to data from Finland enhance the estimated magnitude of the effect size. Despite considerable heterogeneity and potential influences of unexamined moderators, the results suggest a universal cognitive pattern linking paranormal beliefs with certain types of ontological confusion. This meta-analysis underscores the need for further exploration into contextual variations in understanding the complex relationship between paranormal beliefs and ontological errors.

Research target: Psychology
Language: English
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Keywords: paranormal beliefs meta-analysisunfounded beliefscore knowledge confusionsontological confusion
Publication based on the results of:
Socio-cultural and psychological factors of integration and disintegration of Russian society in the context of global challenges (2024)
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