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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Связь буллинга и социально-эмоциональных навыков учащихся: адаптация опросника социально-экономических навыков (SECQ — Social Emotional Competence Questionnaire) на русскоязычной выборке

Новые психологические исследования. 2025. № 4. С. 218–240.
Novikova M., Матанцева Д. А.

In recent decades, researchers’ attention to the problem of school bullying and its individual psychological predictors has remained strong. Of particular interest is the role of social-emotional skills (SES) as factors capable of reducing the risk of involvement in bullying and serving as targets for prevention programs. The aim of this study was to adapt the Social Emotional Competence Questionnaire (SECQ) for a Russian-speaking sample and to analyze the relationship between components of SES and students’ involvement in bullying as victims. The study utilized a Russian version of the SECQ, which assesses five components of SES (self-awareness, self-regulation, social awareness, relationship management, responsible decision-making), and a short version of a school bullying questionnaire (Novikova, Rean, 2021), reflecting victimization experience. The sample included 3,569 middle and high school students from a large Russian city. The Russian version of the SECQ demonstrated high psychometric properties. The data revealed a statistically significant negative correlation between the level of SES development and the risk of involvement in bullying as a victim for self-regulation, self-awareness, and relationship management; social awareness and responsible decision-making emerged as positive predictors of victimization. Lower scores on these scales were associated with a higher likelihood of victimization. The development of social-emotional skills in students can be considered a significant resource for bullying prevention, and the adapted SECQ serves as a reliable tool for their assessment in Russian contexts.

Research target: Education Psychology
Language: Russian
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Keywords: социально-эмоциональные навыкиschool bullyingшкольный буллингsocial-emotional skills
Publication based on the results of:
A longitudinal research of factors contributing to academic underachievement and adversity among students in compulsory education (2025)
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