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  • Разработка интерфейса виртуального ассистента преподавателя на основе технологий вызова функций и инженерии инструкций для больших языковых моделей
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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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Разработка интерфейса виртуального ассистента преподавателя на основе технологий вызова функций и инженерии инструкций для больших языковых моделей

Человек: образ и сущность. Гуманитарные аспекты. 2025. Vol. 2. No. 62. P. 203–214.
Фирсанова В. И.

Abstract. The paper highlights prompt engineering in academic setting to reduce plagiarism and increase students' interest. The research problem is the lack of a unified methodology for using artificial intelligence in education. The paper aims to create a generative artificial intelligence user interface, the Virtual Teaching Assistant. Teachers were interviewed, the first collection of presets for prompt engineering in an academic environment was developed, and a virtual assistant interface was created. The qualitative analysis revealed that educators are interested in applying large language models to developing assessment materials, adapting learning content for providing accessibility, and creating education illustrations. However, the study identified challenges, including hallucinations in generated content and the risk of plagiarism. The study resulted in the development of a virtual teaching assistant interface with features such as prompt presets, custom guardrails, and plagiarism detection. The prompt presets are simplified templates for generating assignments, quizzes, and educational materials. Guardrails are safety controls that ensure ethical and inclusive content generation. Plagiarism checker is a function that detects Al-generated content through analyzing students' submissions using neural network weights.

Research target: Computer Science
Language: English
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Keywords: educational technologiesметодология преподаваниягуманитарные образовательные технологииВиртуальный ассистентvirtual assistantпромпт-инжиниринггенеративный искусственный интеллект teaching methodologyprompt engineering generative artificial intelligence
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