Scientific Directions
- Software engineering. Session A: Artificial Intelligence and Machine Learning.
- AI literacy and Pedagogical agents.
- Architectures of educational systems based on artificial intelligence.
- Adaptive educational systems. Using artificial intelligence to improve the educational experience in engineering and technology disciplines.
- Development of new machine learning algorithms.
- Scientific research and application of artificial intelligence in solving engineering problems.
- Software engineering. Session B: Big Data and Data Analytics.
- Learning analytics and educational data mining. Methods for collecting and processing large amounts of data in educational processes
- Analytical approaches to extract valuable information from data using artificial intelligence.
- The influence of artificial intelligence on economic processes and innovative development in the context of engineering education.
- The role of artificial intelligence in the formation of new business models and strategies in educational institutions.
- Smart technologies in engineering. Session C: Internet of Things (IoT) and Related Technologies.
- Intelligent learning and teaching systems. Development tools for intelligent learning systems.
- Development of intelligent systems for automating processes in engineering and their integration into educational programs.
- Artificial intelligence in the design and modeling of engineering systems.
- Innovations in robotics and automation using artificial intelligence in the context of training engineering personnel.
- Application of IoT in various branches of engineering and its impact on student learning.