Robots in education fall into two categories: robots used to teach children about STEM subjects and the more recent application of robots as teachers. The use of robots in education is largely unknown to both researchers and teachers. Developers and educators have questions about essential applications for robots used in education. Educational robots are used to enable students to acquire skills in a range of science, technology, engineering and mathematics disciplines, which are increasingly important in a world where technology is advancing rapidly. The potential for robotic technology to have a profound impact on society, both economically and socially, is enormous. The way people live and work in the world is largely influenced by technology. In order to make learning more pleasant and easier, the education sector is adopting robot teaching assistants in schools. Robotics can be used in education to help develop new methods and strategies. Robotics makes learning easier and thus introduces students to robotics at a young age. In primary education settings, students can learn how to build and program a robot to perform a range of basic tasks.

LoRa (Long Range) and LPWA ( Low Power Wide Area) networks represent wireless communication technologies, specially designed for the needs of the Internet of Things (IoT). LoRa is a specific technology within the LPWA category. These networks make it possible to connect a large number of devices over long distances with minimal energy consumption. Key features include long reach, low latency, energy efficiency and the ability to connect devices from different manufacturers. Applications include smart cities, agriculture, industry, healthcare and energy. The success of these technologies in Bosnia and Herzegovina depends on various factors, including regulatory framework support, user understanding, investment in infrastructure, and cooperation between the public and private sectors. Further development is expected with a focus on increasing capacity, interoperability, security and application in different sectors, which will contribute to the growing adoption of IoT technologies. The implementation of LoRA and LPWA networks requires a multidisciplinary approach that includes aspects of communication technology, hardware, security and software. It is important to carefully plan, test and maintain the network to ensure its effectiveness and stability over time.

The primary motive of this research is determining the impact of the Covid-19 pandemic on the highly complex structures such as global supply chains. The research draws conclusions about the current situation and challenges that global supply chains will face in the near future. Therefore, primary and secondary data sources, statistical indicators and researches about the effects of the pandemic on global organizational structures were consulted. The main fact is that Covid-19 pandemic is not only driver of change, but an essential accelerator of the need to restructure global supply chains. Global supply chains that want to maintain or expand their market shares in rapidly changing market conditions are forced to adapt extremely quickly their overall business concepts at all levels of these complex structures. The essential feature of this research is the definition of basic strategic guidelines for efficient adaptation to current and future needs of the global market