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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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ONLINE COURSE DESIGN GUIDE: DEVELOPING AN INTERNATIONAL COMPETENCY MODEL FOR COURSE DESIGNERS

P. 263–271.
Rodomanchenko A.

This article describes the collaboration between Russian and American colleagues in developing an international and flexible competency model for online course design. Our Online Course Design Model was inspired by the great need for faculty who have skills not only in online teaching, but in online course design. The article first introduces a competency model developed through an extensive environmental scan, literature review and a design thinking process. The authors elaborate on the kinds of intercultural differences faced by the teams, and the ways those differences were factored into the project outcomes. Secondly, it lays out the resulting competency model, explaining its four components: human and cultural factors, information and regulation, design, and digital literacy. The developed model reflects a critical set of competences required for course designers and can be recommended for training course designers working in the international contexts.

Language: English
Full text
Keywords: cultural competencecompetency modelOnline teachingonline course design

In book

Conference Proceedings VIII Annual International Conference “EAP / ESP / EMI IN THE CONTEXT OF HIGHER EDUCATION”
-, 2023.
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