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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
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You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
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Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Unravelling the Relationship between Dark Triad Traits and Effectuation and Causation within Small- and Medium-sized Enterprises

British Journal of Management. 2023. Vol. 34. No. 3. P. 1555–1583.
Shirokova G., Selivanovskikh L., Morris M., Bordunos A.

Prior studies have examined effectuation and causation as alternative behavioural logics used by entrepreneurs to manage uncertainty, noting a number of antecedents of the tendency to rely on a given logic at different levels of analysis. This study aims to broaden the understanding of individual-level antecedents by examining the role of the so-called dark side of the CEO personality on decision-making processes within small- and medium-sized enterprises (SMEs). Using the lens of upper echelons theory and trait-activation theory, we focus on three personality characteristics: narcissism, psychopathy, and Machiavellianism. The impact of dark triad traits on the behavioural logic employed by the CEO is argued to be moderated by the perceived level of uncertainty experienced by the firm. A set of hypotheses regarding these relationships are tested with a random sample of CEOs of Russian SMEs. The findings suggest that CEOs scoring higher in psychopathy tend to adopt a causal logic, while Machiavellians rely on an effectual logic. The level of uncertainty shapes these relationships by weakening the links between dark triad traits and behavioural logics.

Research target: Economics and Management Psychology
Language: English
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Keywords: Russian SMEsDark TriadEffectuationCausation
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