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Home / Conferences / MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2026 / MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2026 : Proceedings of the International Scientific and Practical Conference dedicated to the 5th anniversary of the Faculty of Computer Science and Technology, Voronezh, Marth 30, 2026
ANALYSIS OF ARCHITECTURAL MODELS FOR THE INTEGRATION OF ARTIFICIAL INTELLIGENCE, THE INTERNET OF THINGS, AND BIG DATA TECHNOLOGIES IN MODERN INFORMATION SYSTEMS
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ANALYSIS OF ARCHITECTURAL MODELS FOR THE INTEGRATION OF ARTIFICIAL INTELLIGENCE, THE INTERNET OF THINGS, AND BIG DATA TECHNOLOGIES IN MODERN INFORMATION SYSTEMS
I. Zanin 1
E. Anikeev 2
Yu. O. Avilov 3
Authors:
1.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
2.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
3.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
Type:
Сonference article
DOI:
https://doi.org/10.58168/MIST2026_172-180
Pages:
from 172 to 180
Published:
30.06.2026
Subject area:
UDC 004
Language:
Russian
Keywords:
ensemble algorithms, academic performance prediction, psychometric data, stacking, at-risk students, SHAP analysis, targeted support
Abstract and keywords
Abstract:
The article addresses the problem of early identification of students at risk of academic underperformance. An architecture for an ensemble algorithm for assessing future student performance is proposed. Special attention is paid to the interpretability of the model, which allows for the identification of individual risk factors and the formation of recommendations for targeted psychological and pedagogical support.

Keywords:
ensemble algorithms, academic performance prediction, psychometric data, stacking, at-risk students, SHAP analysis, targeted support
References

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2. Bryzgalova E.A., Kalyanova L.M. Obrazovanie akademicheskih zadolzhennostey kak sledstvie neuspevaemosti obuchayuschihsya vuzov // Perspektivy razvitiya vysshey shkoly. Materialy VI Mezhdunarodnoy nauchno-prakticheskoy konferencii-2025.. - Tyumen': Tyumenskiy industrial'nyy universitet, 2025. - S. 229-238.

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5. Sumin V.I., Krasova N.E., Korypaeva Yu.V., Kuznecova L.D. Model' otbora kandidatov na dolzhnost' mladshih komandirov podrazdeleniya kursantov VUZa MO RF, osnovannaya na modeli Rasha ocenki latentnyh peremennyh // Modelirovanie sistem i processov. - 2025. - №3 t. 18. - s. 107-114. DOI: https://doi.org/10.12737/2219-0767-2025-18-3-107-114

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