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  • Математическая модель для построения оптимальной индивидуальной образовательной траектории обучающегося при изучении массовых открытых онлайн-курсов
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Математическая модель для построения оптимальной индивидуальной образовательной траектории обучающегося при изучении массовых открытых онлайн-курсов

Информационные технологии. 2019. Т. 25. № 4. С. 250–256.
Aldunin D. A., Fedin G.

Distant learning has weaknesses related to missing tutor and kind of autodidacticism of the process, which may cause learner’s frustration in uncertain situations and force him or her to drop the learning course. Inasmuch as it is very important to help learner to select a set of needed courses, the article deals with the task of forming the optimal individual educational trajectory of a learner when studying massive open online courses on the basis of knowledge and skills of the learner, knowledge and skills he or she wants to acquire and prerequisite and postrequisite skills and knowledge of available courses. The mathematical model is proposed, and problems of integer programming are formulated, which allow to find the optimal individual educational trajectory for different preferences of the learner

Research target: Education Computer Science Mathematics
Priority areas: IT and mathematics business informatics
Language: Russian
DOI
Text on another site
Keywords: математическое моделированиеоптимизацияoptimizatione-learningmathematical modelingэлектронное обучениеInteger programmingцелочисленное программированиеиндивидуальная образовательная траекторияindividual educational trajectory
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