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  • Практики самопомощи обучающихся в периоде «становящейся взрослости» в условиях пандемии COVID-2019 и их связь с субъективным благополучием
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Практики самопомощи обучающихся в периоде «становящейся взрослости» в условиях пандемии COVID-2019 и их связь с субъективным благополучием

Человек. 2023. Т. 34. № 4. С. 149–169.
Hachaturova M. R., Yerofeyeva V., Бардадымов В. А.

This study aims to investigate the self-help practices of students in the context of the COVID-19 pandemic and their relation to a personality’s subjective well-being during the period of “emerging adulthood”. The relevance of the research is determined by high psychical, intellectual, and psycho-emotional loads, especially in the context of COVID-19 pandemic, which makes special demands on resources to cope with them. The sample of the study consists of college students, undergraduate students, master’s degree and PhD students. We tested the hypothesis that self-help practices in difficult real-life situations is depending on the subjective well-being level. The study respondents are aged 16–29 (M = 21, SD = 3.45), 201 are female and 78 are male. We use “Mental Health Continuum” and an open question about preferred self-help practices. The study identified six categories of practices: Self-support practices and self-reliance; Social support: “significant” others and people in the same situation; Institutional support: teachers and mentors; Psychological assistance: psychotherapists and services; Contextual and situational factors and No need for help. At the same time, the differences between the groups of high and low subjective well-being levels are not statistically significant. The only cate- gory, the frequency of which significantly predominates among the more prosperous, is “Institutional support: teachers and mentors”. The research results can be used in training programs to improve the level of subjective well-being of students and support programs in coping with difficulties.

Research target: Psychology
Language: Russian
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Keywords: субъективное благополучиеstudentsstressстрессsubjective well-beingобучающиесятрудные жизненные ситуацииemerging adulthoodCOVID-19 pandemicпандемия COVID-19становящаяся взрослостьdifficult real-life situationsself-help practicesпрактики самопомощи
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