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