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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Исследование отношения учителей к цифровым образовательным технологиям: качественный анализ

Население и экономика. 2026. Т. 10. № 1. С. 1–21.
Bushina E., Muminova A., Фахретдинова А. П.

Digitalization and digital technologies have become an integral part of the education system, radically transforming both teaching methods and the role of teachers. Therefore, examining teachers’ attitudes toward digitalization is essential for enhancing the effectiveness of education and ensuring the successful implementation of technologies in the educational process. Teachers’ attitudes are shaped by various factors, such as expectations, barriers, competencies, and perceptions of the effectiveness of the technologies used.

This study surveyed 50 Russian teachers from different regions (45 of whom were women) with an average age of 43 years and an average length of service of 18 years. The authors analyzed respondents’ answers to open-ended questions about the practices and purposes of using digital technologies, the advantages and disadvantages of digitalization in education, and teachers’ perceptions of the role of digitalization in the future of education.

Phenomenological analysis revealed several interrelated central trends and aspects (educational, material and technical, psychological, and transformational) that characterize school teachers’ attitudes toward digitalization. The findings indicate that, although digital transformation is generally perceived positively, a certain degree of resistance remains. Many teachers point to insufficient material and technical resources in schools and a lack of various types of support for the use of digital technologies.

Teachers view the future of education in the digital age as an opportunity to facilitate their work, improve educational quality, and enhance the digital competence of all participants in the educational process. The results obtained have practical significance for the development of Russian education in the context of ongoing digital transformation.

Research target: Psychology Education
Language: Russian
DOI
Text on another site
Keywords: трансформациясистема образованияschooleducation systemшколацифровые технологииteachersучителяtransformationцифровизация образованияdigital technologies digitalization of education
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