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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 когнитивных и личностных характеристик с успешностью решения проблемных задач

Вестник РГГУ. Серия: Психология. Педагогика. Образование. 2022. № 2. С. 119–132.
Грудинин В. А.

Abstract. Within the framework of the conducted research, an attempt to study the relationship between cognitive and personal characteristics and the success of solving two types of problematic tasks: “scientific” and “artistic” content is made. 20 people took part in the study (80 protocols were processed). Two stages were carried out in this study – diagnostic and experimental. As for the diagnostic part, the features of the cognitive and personal characteristics of the participants were studied. The following techniques were used to study cognitive characteristics: “Raven’s Progressive Matrices” and the “Complex Analogies” technique. To study personal characteristics, we used: the questionnaire “SAMOAL” (the method of A.V. Lazukin adapted by N.F. Kalin) and the “Emotional Intelligence Test” by D.V. Lyusin. As for the experimental part of the study, participants were asked to solve 4 problematic tasks: “immeasurable vessel” and “universal cork” – based on scientific content and “gooseberry” and “over-salted” – based on artistic content. As for the results of the study, a positive relationship between autosympathy and the success of solving a problem of scientific content, and also between understanding one’s own and others’ emotions and the success of solving problematic tasks of artistic content was established; a negative relationship between the need for cognition and the success of solving artistic tasks was also established. No connection with cognitive characteristics was found.

Research target: Psychology
Language: Russian
DOI
Text on another site
Keywords: эмоциональный интеллектневербальный интеллектneed for cognition emotional intelligenceпознавательная потребностьNonverbal intelligence
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