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  • Инструмент для комплексного обследования речевых навыков КОРАБЛИК и опыт его применения в группе младших школьников с РАС
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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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Инструмент для комплексного обследования речевых навыков КОРАБЛИК и опыт его применения в группе младших школьников с РАС

Аутизм и нарушения развития. 2021. Т. 19. № 4. С. 24–31.
Gomozova M., Arutiunian V., Lopukhina A., Dragoy O.

In speech-language pathology practice, standardized language assessment tools are used to evaluate the level of language development and to specify the details of language impairment. For the Russian language, a novel Russian Child Language Assessment Battery (RuCLAB) was developed. The RuCLAB provides the assessment of phonology, vocabulary, morphosyntax, and discourse in production and comprehension. The present study aims to describe RuCLAB in detail and to report its application in 7—11 years-old children with Autism Spectrum Disorder (ASD). The results revealed between-group differences in children with and without ASD as well as highlighted some individual features in the group of children with ASD: for example, expressive and receptive patterns differed depending on the linguistic level and non-verbal IQ; also children with ASD (as children with complex language disorders) better acquired nouns in comparison to verbs, and the words’ frequency influenced the accuracy in sentence repetition. The results indicate the sensitivity and diagnostic importance of RuCLAB as a tool for language assessment in children with ASD.

Research target: Philology and Linguistics
Language: Russian
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Keywords: понимание речипорождение речикомплексная оценка речевых навыковдети младшего школьного возраста расстройства аутистического спектра
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