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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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The Effectiveness of an Online Language Course during the COVID-19 Pandemic: Students’ Perceptions and Hard Evidence

Education Sciences. 2023. Vol. 13. No. 2. Article 124.
Shcherbakova I., Svetlana N. Kucherenko, Smolskaia N.

The aim of this study is to analyse the delivery of an online English language course taught at the Admiral Makarov State University of Maritime and Inland Shipping during the COVID-19 pandemic with the ultimate purpose of identifying those features which could be applied to a prospective blended English as a foreign language (EFL) course in the future. The rationale behind this research is a necessity to redesign the existing language education programme at the University which is outdated and far from being digital. By applying the Mashaw model of evaluating the effectiveness of an online course, the authors analyse the results of the survey carried out among a focus group of 22 students from the radio engineering department of the Admiral Makarov State University of Maritime and Inland Shipping. In the end, the authors identify the points for further consideration in the process of developing a prospective blended EFL course.

Research target: Education
Language: English
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Keywords: English for Specific Purposes (ESP)online classblended course
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