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News
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Когнитивный и лексический подходы в курсе английского языка для академических и специальных целей с использованием проектно-ориентированного обучения (на примере студентов экономического факультета)

Педагогика и психология образования. 2021. № 4. С. 68–83.
Guskova N. V.

The article deals with the implementation of cognitive and lexical approaches in teaching English to students of a non-linguistic university. The author approaches the solution of the questions posed by organizing the project activities of students. The purpose of the study is to form a strategy of competence-based teaching of a foreign (English) language to students enrolled in programs of economic directions and specialties, using cognitive and lexical approaches within the framework of students’ project activities. The article discusses the methodology for using design technology, presents examples of tasks and techniques aimed at mastering specialized foreign language vocabulary, presents the results of experimental activities showing positive dynamics in  the  following indicators: the  volume of  mastering specialized vocabulary; active use of new vocabulary in the course of communication; the ability to hear speech errors when using new vocabulary, etc.

Research target: Education Psychology
Language: Russian
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Keywords: cognitive approachкогнитивный подходлексический подходLexical approachforeign language for academic and special purposesproject technologiescompetence-based learning strategyиностранный язык для академических и специальных целейпроектные технологиикомпетентностно-ориентированная стратегия обучения
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