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October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
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October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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The desire path: unleashing expectations, discussing apprehensions, and proposing a way forward for GAI use in higher education

Information and Learning Sciences. 2025. Vol. 126. No. 1/2. P. 110–131.
Koroleva D., Jogezai N.

This qualitative study examines the expectations, concerns, and future directions regarding the use of generative artificial intelligence (GAI) in higher education from the faculty’s viewpoint. It employs a combination of the Social Construction of Technology (SCOT) framework to evaluate faculty perceptions of GAI usability and the Technological Acceptance Model (TAM) to illustrate how human behaviors influence the adoption and utilization of technology. The Desire Path approach is employed to chart the way forward based on expectations and apprehensions toward GAI use. The thematic analysis of interviews with eleven  participants illuminates their opinions regarding the GAI integration in education. The methodological section of the article outlines the use of GAI for conducting thematic analysis of the interviews and has practical application for research.  The findings revealed strategies for successfully incorporating GAI into educational settings, taking into account diverse expectations, including the idea of continuous technology improvement, gradual user adjustment and acclimatization, and context-dependent utilization.  They also  emphasized the significance of collective intelligence and interdisciplinary collaboration in balancing the pros and cons of GAI for teaching and learning. The concerns related to the risks of undermining fundamental aspects of higher education, reducing human involvement, causing ethical shortcomings, and challenging in terms of data privacy and security. The Desire Path lies in embracing data-driven decision-making regarding GAI, prioritizing professional development, and engaging with different stakeholders.  

Research target: Education Sociology (including Demography and Anthropology Psychology
Language: English
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Keywords: social construction of technologyhigher education fundingpromptUniversity facultyGenerative artificial intelligence (GAI)AIEDdesire path
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