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News
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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Особенности учебного процесса подготовки IT-специалистов в условиях возрастания возможностей генеративного искусственного интеллекта

Инженерное образование. 2023. № 34. С. 123–135.
Vishnekov A., Erokhina E., Ivanova E., Trubochkina N. K.

The article deals with the organization of educational process at Universities in the context of the everincreasing introduction of artificial intelligence systems. The paper describes the current state of the issue, including the lack of a regulatory framework governing the use of intelligence systems and the tasks that need to be addressed in order to ensure the required quality of engineering education in the new conditions. The authors give the examples of incorrect use by students of the results obtained with the help of intelligence systems in order to reduce efforts to master the educational program. A review and analysis of existing intelligence systems and their capabilities in the context of tasks solved by teachers and students in the course of educational process was carried out: generating program code, creating reports and various text documents, translating texts, writing annotations for video courses, solving mathematical problems, conducting various experiments and searching for patterns in data arrays and other tasks. The authors propose specific ways of modernizing the educational process. These ways include the correction of methodology for evaluating various types of work, increasing the number of complex creative tasks performed by students, increasing the number of term papers and theses related to the subject of intelligence systems. The paper introduces the examples of implementing the proposed methods into real practice in preparing students for the direction Informatics and Computer Engineering at HSE Tikhonov Moscow Institute of Electronics and Mathematics. Competitive advantages of a teacher in comparison with intelligence systems are shown. Examples of term papers carried out by students on the subject of intelligence systems are given. The dynamics of increase in the share of final qualifying works of bachelors related to development and implementation of artificial intelligence systems is shown.

Research target: Engineering and Technology Education
Language: Russian
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Keywords: инженерное образованиеучебный процессteaching methodsобразовательная траекторияengineering educationметодики преподаванияeducational processeducational trajectoryartificial intelligence systemsсистемы искусственного интеллекта
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