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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Измерение образовательного прогресса на основе когнитивных операций

Вопросы образования. 2023. № 3. С. 172–196.
Tarasov S., Зуева И. О., Federiakin D.

Measuring students’ growth and change is considered one of the main ways for evidence-based development of educational systems. However, it is a non-trivial methodological task, despite the numerous approaches available for its conceptualization and statistical realization. In this article, we describe the main features of measuring students' growth and change using Item Response Theory (IRT) in detail. We then expand this approach to allow for the modeling of cognitive operations with the Linear Logistic Test Model (LLTM). We show that the synthesis of traditional IRT models for measuring growth and change with LLTM significantly enriches the interpretability of ability estimates while preserving the advantages of the traditional approach. To illustrate this approach, we use a set of monitoring tests to measure educational progress in mathematics in secondary school.

Research target: Education
Language: Russian
DOI
Keywords: IRTизмерение прогрессаLLTM
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