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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.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
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.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
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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Measuring changes in critical thinking skills among university economics students: insights from domain-specific assessment

Studies in Higher Education. 2026. Vol. 51. No. 3. P. 649–664.
Tarasova K., Gracheva D., Talov D., Orel E., Dementiev A.

This study investigates the development of critical thinking (CT) skills in first-year university students enrolled in the Economic Thinking course, using a newly developed domain-specific CT assessment tool. Critical thinking is a vital competency for navigating complex decision-making in modern life, particularly in professional domains like economics. While many CT assessment tools treat the skill as generic, this study emphasizes the importance of subject-specific approaches, highlighting the need for validated tools tailored to economics students. The study introduces a conceptual framework for measuring CT in economics, developed through collaboration with experts and educators. Using an Evidence-Centered Design methodology, a domain-specific, computer-based tool was created to assess CT skills in economics. The research addressed two key questions: (1) How do students’ CT skills change after completing the course, as measured by the domain-specific tool? (2) What is the relationship between CT skills, economic knowledge, and academic performance? Undergraduate students were assessed before and after the course. Results demonstrated a significant improvement in CT skills (effect size: 0.44 SD) over the semester. Correlation analyses revealed moderate relationships between CT scores, academic performance, and prior economic knowledge, supporting the tool's validity. This study underscores the value of domainspecific tools for assessing and fostering critical thinking in discipline-specific contexts, contributing to the broader discourse on CT development in higher education.

Research target: Education
Language: English
DOI
Text on another site
Keywords: critical thinkingкритическое мышлениеeconomics educationEvidence-centered Designdomain-specific assessmentuniversity economics students
Publication based on the results of:
Features of assessment and development of soft skills in view of different levels of attention fixation (2024)
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