Development and implementation of a suite of tools for neural network-based educational content generation, engagement monitoring and learning analytics for the Mirera platform
https://doi.org/10.25682/NIISI.2025.4.0001
Abstract
The article is devoted to the implementation in the Mirera digital educational platform of a neural network–based system for generating learning materials and tests, new types of tasks for monitoring the viewing of theoretical materials, and analytical tools for assessing students’ learning activity. The paper considers the architecture of neural task generators, the mechanism for allocating scores for content viewing, and the educational analytics module.
About the Authors
A. I. Belavin
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
N. V. Gridnev
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
A. S. Karavaeva
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
K. A. Mashchenko
НИЦ «Курчатовский институт» - НИИСИ, Москва, Россия, МГУ им. М. В. Ломоносова
Russian Federation
Russian Federation
E. A. Orlov
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
E. D. Tarasuk
НИЦ «Курчатовский институт» - НИИСИ
Russian Federation
Russian Federation
References
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Review
For citations:
Belavin A.I., Gridnev N.V., Karavaeva A.S., Mashchenko K.A., Orlov E.A., Tarasuk E.D. Development and implementation of a suite of tools for neural network-based educational content generation, engagement monitoring and learning analytics for the Mirera platform. SRISA Proceedings. 2025;15(4):09-15. (In Russ.) https://doi.org/10.25682/NIISI.2025.4.0001
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