Abstract
The paper considers theoretical and practical underpinnings of integrating machine learning and Internet of Things (IoT) technologies into the educational process of STEM (Science, Technology, Engineering, and Mathematics). The research shows that when IoT devices are included in STEM projects, the ability of learners to process, analyze and automate processes significantly increases. Besides, the paper gives assessment standards of how to design and evaluate STEM projects. A sample study with 44 students resulted in a STEM project that combines the use of IoT hardware and machine learning algorithms. The main goal of the project is the development of fire safety and evacuation management system. The study provides suggestions towards the successful implementation of the modern technologies in STEM education and also seeks to streamline the methodological approach to evaluating STEM projects. Moreover, project-based work-related activities enable learners with analytical thinking abilities and develop their ability to solve real-world problems.