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  • ПОВЫШЕНИЕ РЕЗУЛЬТАТИВНОСТИ СИСТЕМЫ ДИСТАНЦИОННОГО ОБРАЗОВАНИЯ С ПОМОЩЬЮ МАШИННОГО ОБУЧЕНИЯ И ТЕХНОЛОГИИ БЛОКЧЕЙН
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Subject
News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.

 

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ПОВЫШЕНИЕ РЕЗУЛЬТАТИВНОСТИ СИСТЕМЫ ДИСТАНЦИОННОГО ОБРАЗОВАНИЯ С ПОМОЩЬЮ МАШИННОГО ОБУЧЕНИЯ И ТЕХНОЛОГИИ БЛОКЧЕЙН

Прикаспийский журнал: управление и высокие технологии. 2018. № 2 (42). С. 56–68.
Zhukova L., Кирюшина А. А., Ковальчук И. М., Рузаева А. В.

The authors of the article conducted a study aimed at studying the problems associated with this form of training and the reasons for their occurrence. The article considers an example of the application of one of the machine learning methods – cluster analysis and describes the blockchain technology adapted for the implementation of the control functions of the system of distance education. On the example of the data on the results of the survey of students of the National research University "Higher school of Economics" by machine learning were obtained clusters, groups of students - potential users of online courses on the level of their conversion during the passage. The key factors influencing getting into groups successfully/not successfully mastering online courses are chosen. According to the results of the research, recommendations are given to improve the effectiveness of online courses based on machine learning, blockchain technology and other modern forms of work with data.

Research target: Mathematics Computer Science
Priority areas: IT and mathematics business informatics
Language: Russian
Full text
Text on another site
Keywords: машинное обучениеdistance educationmachine learningдистанционная форма обученияблокчейнBlockchain
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