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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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Cognitive engagement and video watching behaviours in learner-controlled environments: A cognitive load perspective

Innovations in Education and Teaching International. 2026. P. 1–13.
Gorbunova A., Getman A., Savelyev A., Kseniia A. Adamovich, Costley J.

Research on video-based learning often relies on behavioural indicators to infer engagement, yet it remains unclear whether these behaviours reflect meaningful cognitive engagement or mere activity. To address this gap the present study analysed relationships between time-on-video, click frequency, playback speed manipulation, and learners’ intrinsic, extraneous, and germane cognitive load in a learner-controlled video environment (N = 96). Time-on-video and click frequency showed no associations with cognitive load, however, playback speed manipulation did. Slowing down videos was associated with lower intrinsic load, speeding up videos with higher germane load, and both forms of speed adjustment with lower extraneous load. The findings demonstrate how cognitive load theory can be used to interpret digital trace data to distinguish between behavioural activity and cognitively meaningful engagement. Researchers and practitioners should therefore interpret coarse indicators such as viewing time and click frequency with caution and give greater attention to pacing-related behaviours when using trace data.

Research target: Education
Language: English
DOI
Text on another site
Keywords: cognitive engagementкогнитивная вовлеченностьcognitive loadцифровые следыeducational videoкогнитивная нагрузкаdigital tracesобучающие видео
Publication based on the results of:
Using digital traces to study learners' behavioral strategies (2025)
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