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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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Как современная психометрика может изменить тестирование интеллекта детей и подростков в России

Психология. Журнал Высшей школы экономики. 2024. Т. 21. № 1. С. 101–122.
Kanonire T., Федерякин Д. А., Логвиненко Т. И., Orel E., Куликова А. А.

The assessment of intellectual development in children and adolescents is an essential component of psychodiagnostics, facilitating an understanding of the nature of learning difficulties. Intelligence tests have a history that spans more than a century, and even contemporary versions of widely used intelligence tests (such as the Wechsler or Stanford-Binet tests) are limited by the influence of their traditional paper-based formats. Never theless, the advent of computational capabilities and the digitalization of tests have led psychometrics to experience substantial development, opening new possibilities for assessment. The complete application of modern psychometrics holds the promise of revolutionizing the measurement of intelligence. This paper presents the current situation of measuring intelligence in children and adolescents in the world and in Russia. It describes the potentialities presented by modern psychometrics, including the utilization of innovative task formats such as technology-enhanced items, the integration of universal design principles in test development, the adoption of computerized adaptive testing (CAT) and multistage testing (MST) methodologies, the application of multidimensional IRT models to establish both construct and criterion validity, the shift from discrete norms to continuous scaling, and the incorporation of longitudinal measurements. The combination of these features within a computerized intelligence testing framework will enhance respondents' motivation and simplify the test administration process. It will facilitate frequent assessments of a child's progress by presenting varying test versions on each occasion, thereby significantly reducing errors in administration and scoring, while also safeguarding against misuse by non-professionals. 

Research target: Psychology
Language: Russian
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Keywords: психометрикаСовременная теория тестирования (IRT)psychometricsкомпьютерное адаптивное тестированиедети школьного возрастаSchool childrenintelligence testsitem response theory (IRT)multistage testingcomputirezed adaptive testingтесты интеллектамногоступенчатое тестирование
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