Original research article
May 16, 2025
Open access

Application of the neural network approach to constructing a modern educational process in higher education

E. N. Boyarov
S. V. Abramova
O. V. Kuptsova
E. N. Shitov
P. V. Stankevich

Abstract

The aim of this research is to theoretically substantiate the possibility of applying a neural network approach to constructing a modern educational process in higher education. The article examines the main machine learning methods used for analyzing educational data and justifies the necessity of their implementation into the educational process. Particular attention is paid to the interpretability of artificial neural network (ANN) models and their influence on decision-making in educational institutions. The scientific novelty lies in substantiating the essence of the neural network approach and its principles as a theoretical basis for the development and justification of models for organizing various stages of the educational process in higher education using ANNs. The results of the research include a description of the application of the neural network approach to: organizing adaptive learning; evaluating students' current achievements and providing feedback to the instructor; predicting learning success; and constructing individual educational trajectories. The conclusion is drawn regarding the possibility of the practical application of the developed models for organizing various stages of the educational process in higher education, aimed at increasing the adaptability, personalization, and effectiveness of learning.

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