International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Sharing of experience acquired by teaching has always belonged to common teachers’ activities. Formerly, teachers shared experience mainly by sitting in on colleagues’ classes and by sharing experience in professional journals. Thanks to the development of informational technologies in the 21st century, teachers now frequently use the Internet for sharing of experience. Yet there has not been any unified standard in Slovakia for indicating the quality of those published didactic materials.

In this scientific paper, we investigate the impact of interactive software on teaching a specialized subject at a vocational school based on research conducted. Interactivity is now one of the fundamental components of ICT and digital education. Interactive software can be useful for teaching specialized subjects because it allows students to interact with the material and gain practical experience, which can enhance their learning. In the 21st century, students are increasingly identifying with the use of ICT in education, and it is necessary for teachers to continually educate themselves in their use and incorporate them into their lessons.

The presence of technology in everyday life has also entered the field of education, including as a virtual environment. Metaverse is one of the technologies that can bring new learning and teaching processes. It is a virtual environment that allows multiple users to interact in a 3D space. This technology can bring new ways of learning and teaching, such as simulations, virtual visits to museums or historical sites, virtual exercises, and more. The use and development of applications for these technologies, as well as artificial intelligence, is the connection between ICT and educational techniques. The goal of this article is to define metaverse and describe the roles of virtual, augmented, and mixed reality. The use of artificial intelligence and applications in metaverse can also bring new opportunities for personalized learning that adapts to the needs and preferences of individual students. For example, based on the analysis of the data from previous interactions and results there can be created recommendations for students and their learning.