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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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Разработка модели инновационной компетенции и ее апробация в курсе «Техно-стартап»

Интеграция образования. 2023. Т. 27. № 2. С. 289–308.
Solodikhina A., Солодихина М. В.

Introduction. Innovative evolution of the country requires preparing students for innovative activity and developing their innovative competence. But there is still no clear understanding as to how to effectively form and measure it. This article offers a model of innovation competence in the area of techno-innovation, which is based on the analysis of existing summarized models of innovation competence and consists of cognitive and non-cognitive components, each of which already has diagnostic tools. The purpose of the article is to describe the results of testing the proposed model of innovation competence in the process of specially organized training, as well as to identify effective teaching methods and tools for assessing innovation competence in higher engineering education.
Materials and Methods. The article describes a comprehensive toolkit for assessing the changing of each component of innovation competence in the area of techno-innovation. It was used to identify the teaching methods most effective for the developing innovative competence in the process of teaching future techno-innovators at university. A quasi-experimental plan of research was used with the participation of 521 HSE students, who during a semester learned a specially created training course “Techno-Startup”. 58 trackers participated in the data collection. The results were subjected to statistical analysis: mean values, standard deviation values were calculated, linear regression model was applied.
Results. It is found that the proposed toolkit has reliability and validity. On average, statistically significant improvement of studentʼs innovative competence in the focused learning of the course “Techno-Startup” was recorded relative to the control group. However, in 11–13% of students, motivation and personal attitudes decreased. It has been revealed that individual methods of teaching donʼt significantly influence the development of innovative competence of students, and it is necessary to use different methods in combination, each of which influences a specific component of competence. In the process of studying, the components of competence develop differently: the most noticeable growth of knowledge and skills, while personal attitudes and qualities practically does not change.
Discussion and Conclusion. The obtained results contribute to the development of ideas about innovation competence, which can be useful in creating training programs for engineers and entrepreneurs in the technological sphere. Practical value has recommendations on the construction and content of the course, in the scope of which innovation competence is purposefully forms on the example of the discipline “Techno-Startup”.

Research target: Education Psychology Economics and Management Other social sciences
Language: Russian
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Keywords: высшее образованиеинновационное поведениеinnovative behaviorinnovative teaching methodsинновационные методы обученияinnovative competenceинновационная компетенцияhigher educationacademic entrepreneurshipбизнес и предпринимательствоинновационные стартапыdevelopment of higher educationinnovator’s thinkingмышление инноватораeducational and pedagogical conditions of entrepreneurship developmenttechno-innovationsтехноинновации
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