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  • РАЗРАБОТКА И АПРОБАЦИЯ ОПРОСНИКА ДЛЯ ОЦЕНКИ ПЕРЕЖИВАНИЯ ПОТОКА В ПРОФЕССИОНАЛЬНОМ СПОРТЕ
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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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РАЗРАБОТКА И АПРОБАЦИЯ ОПРОСНИКА ДЛЯ ОЦЕНКИ ПЕРЕЖИВАНИЯ ПОТОКА В ПРОФЕССИОНАЛЬНОМ СПОРТЕ

Познание и переживание. 2025. Т. 6. № 3. С. 132–148.
Bochaver K., Городецкий Д. В.

The article examines the phenomenon of the flow state, optimal experience, in the context of professional sports activities. The analysis of modern research on optimal experiences in sports is carried out and the problem of diagnosing and verifying the components of the flow state is identified. The development and testing of a new diagnostic tool «Flow scale in sports» is described. Originally conceived as a shortened version of the Dispositional flow scale-2 test, the new tool was reorganized and assembled with new points into a structure of nine original scales and two new author’s scales. The original flow parameters include: Balance of skills and tasks, Fusion of consciousness and action, Clarity of purpose, Accurate feedback, Concentration on the current moment, a sense of control, Loss of self-awareness, Transformation of time, Autotelic experiences. New parameters: Volitional aspiration and Stability. Verification of the 33-point scale showed high internal consistency and convergent validity. The confirmatory factor analysis showed a division into 11 factors corresponding to the author’s parameters. The results of the study on 200 professional athletes show the high reliability of the new questionnaire.

Language: Russian
Full text
DOI
Keywords: состояние потока
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