Анализ применения методов искусственного интеллекта в решении задач выпускных квалификационных работ обучающихся

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Authors: О. Н. Кузина, E.V. Ignatova
Cited by: 1
References: 16

Abstract

Introduction. This paper discusses the application of artificial intelligence (AI) technologies in students’ final qualification projects (FQP) to solve problems in the construction industry. The tasks solved by students in 2023–2025 across three educational programmes using AI methods are analyzed. The aim of the analysis is to assess the level of AI implementation in students’ final qualification projects. Materials and methods. The prerequisites for using AI to solve problems are described, criteria for assessing the progress of AI implementation are defined, AI technologies used in problem-solving are identified, and levels of AI technology implementation are established. Results. The results of the analysis are presented in a clear and accessible format. It is noted that works involving the development and testing of automated systems using AI are of particular interest. The topics of such works are listed. Conclusions. The most sought-after and accessible AI technologies are machine learning and computer vision, whilst the largest number of problem-solving applications using AI correspond to the construction phase. The task of preparing relevant topics for final-year projects for the automated solution of construction problems using AI has been set. Research prospects have been identified: the development of AI models, methods and technologies for application in the construction industry.

Fields of Study & Subjects

Artificial Intelligence in Education Real estate and construction management Structural mechanics and materials

Publication details

Journal / source
Stroitel stvo nauka i obrazovanie [Construction Science and Education]
Publisher
Moscow State University of Civil Engineering
Volume
16
Issue
1
Pages
209–226
Publication date
29 May 2026