Scientific Directions

1. 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.
      
2. 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.
      
3. 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.