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News
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Критериально-уровневый подход к разработке учебно-диагностических материалов для формирования финансовой грамотности

Отечественная и зарубежная педагогика. 2023. Т. 2. № S1 (90). С. 65–87.
Рутковская Е. Л., Козлова А. А., Kolachev N.

The relevance of the article is determined by the need to introduce a criteria-level approach into the educational process, which is relevant for the modern school in the context of solving the problems of achieving the educational results declared in the Federal state educational standards. The article reveals approaches to determining the criteria and levels of complexity of tasks included in the Bank of tasks for financial literacy, developed in 2019–2022 at the Institute for Education Development Strategy of the Russian Academy of Education under the state assignment of the Ministry of Education of the Russian Federation as part of the project “Monitoring the formation of a functional student literacy.” The subject of the analysis was the criteria for identifying the levels of complexity of financial literacy tasks, multi-level complex tasks for financial literacy, and the results of their approbation.

Research target: Education
Language: Russian
Text on another site
Keywords: финансовая грамотностьФункциональная грамотность financial literacy functional literacytask difficulty levelscomplex tasksbank of financial literacy tasksуровни сложности заданий комплексные заданиябанк заданий по финансовой грамотности
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