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  • Моделирование компетенции в технологиях цифрового образования Ч.1.
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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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Моделирование компетенции в технологиях цифрового образования Ч.1.

Инновации. 2018. № 1. С. 64–71.
Башмаков А. И., Starykh V.

The article presents the guidelines of the competency modeling methodology invariant to subject domain, type of activities and psycho-pedagogical platform. The core of this methodology is systematics of the expandable metamodels adaptable to application conditions by profiling mechanism. The methodology is aimed at creating conditions for interoperability of systems and services that make up a digital education, dealing with competency description due to possibility of flexible selection of such interaction level, good information structuring and formalization, selection of competency description units repeatedly used in various contexts, as well as ontological approach. One more purpose of the methodology is preparation of grounds for realization of smart features of digital education technologies: adaptation, inferring, self-learning, anticipation.

Research target: Computer Science Education Economics and Management
Priority areas: economics
Language: Russian
Full text
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Keywords: онтологияontologyэлектронное обучениеметамодельmetamodelцифровизацияdigitalizationединица компетенциимоделирование компетенцииcompetency unitcompetency modelingdigital educationцифровое образование
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