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Using machine learning methods in the development of an intelligent digital assistant to support student learning

https://doi.org/10.32517/0234-0453-2025-40-5-14-25

Abstract

The article discusses the possibilities of creating and implementing an intelligent digital assistant in the university student training process. Such an assistant, as practice shows, can greatly facilitate the learning process, help students in professional development, structuring information in such a way that it is as understandable and accessible as possible.

The main purpose of the study presented in the article is to model a prototype of an intelligent digital assistant that helps improve the quality of education at a university in a personalized format. The focus was on the question of what benefits, opportunities and practical application options this tool provides to students, as well as its potential impact on the quality of their learning.

The study included an analysis of the current needs of students from the considered perspective, an assessment of the readiness of university teachers to use a digital assistant in the educational process, the identification of universal criteria for creating intelligent digital assistants in the educational field, a comparison of existing digital assistants and their functionality, as well as the identification of those opportunities that may be most useful and in demand in this process. On this basis, an AI assistant prototype was developed and tested, providing personalized assistance to students at various stages of studying the discipline “Modern information technologies”.

As a result of the testing, it was determined that digital support is one of the key elements for students’ adaptation during the initial period of study at the university, when the majority of expulsions are due to academic failure. During the approbation, all the main functions and features of the proposed program were tested. The obtained test results indicate the effectiveness of the presented technological and pedagogical solutions in terms of improving the quality of training and the level of educational motivation of students.

About the Authors

M. A. Rodionov
Penza State University
Russian Federation

Mikhail A. Rodionov, Doctor of Sciences (Education), Professor, Head of the Department “Informatics and Methods of Teaching Informatics and Mathematics”, V. G. Belinsky Institute of Teacher Education

Penza



O. A. Kochetkova
Penza State University
Russian Federation

Olga A. Kochetkova, Candidate of Sciences (Education), Docent, Associate Professor at the Department “Informatics and Methods of Teaching Informatics and Mathematics”, V. G. Belinsky Institute of Teacher Education

Penza



D. L. Kleev
Moscow University of Finance and Law MFUA
Russian Federation

Denis L. Kleev, a postgraduate student at the Department of Information Systems and Technologies

Moscow



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Review

For citations:


Rodionov M.A., Kochetkova O.A., Kleev D.L. Using machine learning methods in the development of an intelligent digital assistant to support student learning. Informatics and education. 2025;40(5):14-25. (In Russ.) https://doi.org/10.32517/0234-0453-2025-40-5-14-25

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)