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News
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.
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.

 

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Актуальность, критерии и факторы кластерной региональной дифференциации студентов в рамках информатизации трансграничного образования

Вестник Российского университета дружбы народов. Серия: Информатизация образования. 2021. Т. 18. № 3. С. 272–283.
Fakova M.

Problem and goal. This article, based on the analysis of domestic and foreign experience, reveals the need to study the feasibility and possibility of dividing foreign students into regional clusters for the subsequent differentiation of methods and teaching materials within the framework of the development of approaches to the informatization of cross-border education. Methodology. A series of ascertaining experiments was carried out with students of the specialty “Economics” from Zambia, Mongolia, Kazakhstan, Uzbekistan and other countries, aimed at identifying differences in educational motivation, reflection and other characteristics of cross-border students. A model of approaches to informatization of cross-border education based on cluster differentiation is proposed. Results. A system of clusters was proposed, the expe-diency of introducing the described complex of criteria and factors, illustrated by the example of highlighting previous educational experience as one of the significant criteria for cluster regional differentiation of students, was substantiated. Conclusion. Students from different coun-tries have different motivation, experience and perception of information, in many respects this is facilitated by school education. There is a need to find a balance between co-operative and differentiated education of cross-border students. Cluster differentiation of cross-border students is advisable for the subsequent use of information technologies in the framework of ensuring the variability of methodological systems of teaching individual disciplines at a university.

Research target: Education Computer Science
Language: Russian
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Keywords: кластеринформационные технологииинформатизация образованияquality of educationcross-border educationтрансграничное образованиерегиональная дифференциацияinterregional differentiation information technologiesиндивидуализация образованияindividualization of educationtransnational education
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