INTELLIGENT TECHNOLOGY FOR OPTIMIZING THE PROJECT-BASED APPROACH TO TEACHING STUDENTS USING LEARNING MANAGEMENT SYSTEMS

Authors

DOI:

https://doi.org/10.20998/2079-0023.2025.01.19

Keywords:

multiagent modeling, learning management system, artificial neural network, backpropagation algorithm, learning process, effective learning trajectory

Abstract

This work is devoted to developing of a recommendation system that enables the effective construction of learning trajectories for students studying in universities using learning management systems. The core of the recommendation system will be an artificial deep neural network of forward propagation, which takes as input information about the student and the subject that he or she should study and produces as output the most effective learning trajectory. The neural network is trained on data prepared using multi-agent modeling. The domain was decomposed into separate components and in the process of multi-agent modeling was represented in the form of agents and the environment in which they communicate with each other. The subject of this research is the modeling of the learning process in learning management systems. The purpose of the study is to optimize the student learning process within learning management systems. The subject area was analyzed and studied, the architecture of the recommendation system was developed, the architecture of the multi-agent system was developed, and a mathematical model of agent interaction was developed. To achieve the  goals of the study, it is necessary to solve main tasks, namely: to prepare a training data set using multi-agent modeling and to develop and train a recommendation system that is based on an artificial deep neural network on this data. After completing all the tasks of the work, it is expected that the learning process of students in the learning management system will be optimized in terms of time and resources spent on learning, and the average level of knowledge will be increased.

Author Biographies

Volodymyr Sokol, RWTH Aachen University

Doctor of Philosophy, Associate Professor, Scientific Researcher – The Learning Technologies Research Group RWTH Aachen University, Aachen, Germany

Mykhaylo Godlevskyi, National Technical University "Kharkiv Polytechnic Institute"

Professor, Doctor of Technical Sciences., Director of the Institute of Computer Sciences and Information Technologies Kharkiv, Ukraine

Mariia Bilova, National Technical University "Kharkiv Polytechnic Institute"

Candidate of Technical Sciences, Docent, Associate Professor of the Department of Software Engineering and Intelligent Technology Management, Kharkiv, Ukraine

Roman Tupkalenko, National Technical University "Kharkiv Polytechnic Institute"

Graduate Student, National Technical University "Kharkiv Polytechnic Institute", Kharkiv, Ukraine

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Published

2025-07-11

How to Cite

Sokol, V., Godlevskyi, M., Bilova, M., & Tupkalenko, R. (2025). INTELLIGENT TECHNOLOGY FOR OPTIMIZING THE PROJECT-BASED APPROACH TO TEACHING STUDENTS USING LEARNING MANAGEMENT SYSTEMS. Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, (1 (13), 125–130. https://doi.org/10.20998/2079-0023.2025.01.19

Issue

Section

INFORMATION TECHNOLOGY