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News
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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Online course “Academic English” under blended learning

Педагогика и психология образования. 2023. No. 3. P. 58–74.
D. V. Burimskaya, N. H. Frolova

In the abrupt lockdown of 2020, educational institutions had to arrange all forms of teaching remotely. Implementation of English language teaching was mostly chaotic and based on giving the students extra assignments. The given article puts forward a blended learning model which was successfully incorporated and proved to be effective. The development of this online course for blended learning was in huge demand as it offers flexibility, variability, differentiation and ease of access. The benefits and barriers the authors faced within the given case are featured in the article. Aim. This paper aims to share the expertise with the teaching community and provide a comprehensive analysis of the exam results before and after blended teaching. Research methodology. General scientific methods and comparative analysis of the students’ academic performance were used. The research was based on the English exam result statistics for the last three years (n = 400 students), and an experimental case of four months of blended ELT in NRU HSE (n = 600 students) was carried out. Results. The results of the experimental use of online courses in the university setting could be transferred to various fields of application while teaching other subjects and are of particular interest to EL teachers. Practical significance. The undertaken research materials have significant implications for the further development of the content of digital didactics and justification of the digitalization of vocational education.

Research target: Education Humanities Philology and Linguistics
Language: English
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Keywords: blended learningMoodledigitalizationonline-course
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