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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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Инструментальность задач как модератор их мотивационной связи с целями

Экспериментальная психология. 2026. Т. 19. № 1. С. 103–118.
Димидов В. О.

Context and relevance. Contemporary motivation research increasingly highlights the future as a central space for motivational regulation. Particular attention is paid to the constructs of future-oriented motivation and motivation for the possible, as well as to task instrumentality as a meaning-based mechanism linking distant goals with immediate actions (means–ends). Objective: to empirically investigate the role of the instrumentality of current tasks in the motivational regulation of activities related to educational and personal goals. Instrumentality is understood as the degree to which the performance of a current task contributes to the achievement of life goals. Methods and materials. The study was conducted on a sample of senior-year students from universities in Moscow and St. Petersburg (N = 64, age M = 21.4; SD = 1.91), who participated in the procedure of forming a list of current tasks (N = 640) and goals, followed by an assessment of motivational regulation. Questionnaire methods were used, including a shortened version of the UPLOC and the instrumentality matrix (R. Emmons). Results. Educational goals were found to provide mainly external motivation for academic tasks, whereas personal goals were associated with internal task motivation. A moderation effect of instrumentality was revealed: perceiving a task as instrumental to important life goals significantly strengthened both intrinsic and extrinsic motivation for performing it. Conclusions. The results indicate that instrumentality functions as a key meaning-based link that integrates future-oriented motivation and motivation for the possible into everyday activity regulation, thereby expanding contemporary motivational models through the dynamic means–ends structures.

Research target: Psychology
Language: Russian
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Keywords: целизадачиquasi-experimental designквазиэкспериментальный дизайнmeaningучебная деятельностьсмыслgoalsplanseducational activityinstrumentalityинструментальностьtasksпланыthe quality of motivationкачество мотивациисмысловая регуляцияmeaning-based regulation
Publication based on the results of:
Existential foundations of life well-being (2024)
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