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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Обращаясь к содержанию: теоретические предпосылки исследования уровней абстракции понятия в решении проблемно ориентированных задач

Мир психологии. Научно-методический журнал. 2024. № 4(119). С. 133–145.
Andronova E.

While numerous studies have explored conceptual structure and its role in learning, few have delved into the content characteristics of concepts themselves. Even fewer have investigated how these content characteristics relate to the broader learning process, especially problem solving. This paper focuses on one such characteristic — levels of abstraction — and offers a theoretical foundation for further empirical hypotheses about the role of concept abstraction levels in problem representation and solution strategies.

Research target: Psychology Education
Language: Russian
DOI
Text on another site
Keywords: concept structure problem solving levels of abstractionуровни абстракцииconcept categorisationструктура понятийкатегоризация понятийрешение задач и проблем
Publication based on the results of:
The relationship between self-regulated learning skills, motivation and engagement in the context of learning on online platforms (2024)
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