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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
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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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Системное неравенство в образовании: сравнительная оценка грамотности в России и странах ОЭСР

Журнал исследований социальной политики. 2015. № 4. С. 515–532.
Popov D., Kuzmina Y.

In this paper authors evaluate the effectiveness of different segments and levels of Russian educational system in comparison to the educational systems of the most economically developed countries. The study of adult literacy targeted to reveal stability (or instability) of educational outcomes in long perspective in different groups, including low- and high-educated people, with modest and significant resources. Empirical basis for this research are the results of international comparative studies - the Programme for International Student Assessment (PISA, all rounds with the participation of Russia), and the Programme for the International Assessment of Adult Competencies (PIAAC). The central question of the article is whether exist specifics of Russian educational system on the macro-level in comparison to developed countries. Moreover, if such specifics can be found, what are advantages and disadvantages of the Russian education? Does educational outcomes change with time? And what are the tendencies of these changes?

Priority areas: sociology
Language: Russian
Full text
Keywords: система образованиякомпетентностный подходeducational inequalityобразовательное неравенствоcompetence-based approachграмотностьsystem of educationliteracyadult literacyграмотность взрослых
Publication based on the results of:
How school context, teachers’ characteristics and practices are related to high school students’ outcomes and post-school educational trajectories (2015)
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