The rapid development of digital technologies opens up new opportunities for the renewal of educational methodologies. The aim of our study is to investigate the applicability of TinkerCad, a web-based 3D modeling and circuit simulation tool, as an educational technology within the framework of the flipped classroom method. The research was conducted using qualitative and quantitative methods, including the analysis of student feedback, observations, and comparison of learning outcomes in traditional and flipped classroom environments.The results show that TinkerCad effectively supports active learning, encourages the development of problem-solving skills, and increases student motivation. Combined with the flipped classroom method, it provides students with the opportunity to master prior knowledge at their own pace, while practical application and joint problem solving come to the fore during classroom work. The study presents in detail the pedagogical potential of TinkerCad and makes suggestions for its effective integration into educational environments.

The Industry 4.0 revolution is having a significant impact not only in the economic and technological spheres, but also in the educational system, presenting new challenges and opportunities for institutions, educators and students. The aim of this study is to explore the development and application of educational technologies in the context of Industry 4.0, with a particular focus on innovative solutions that support the development of digital competences and adaptation to labor market needs. The research analyzes the role of artificial intelligence, augmented and virtual reality, adaptive learning systems and IoT (Internet of Things) in educational environments. The study shows how these technologies contribute to increasing learning efficiency, creating interactive and personalized educational experiences, and promoting lifelong learning. The results highlight that the integration of educational technologies is not only a technical issue, but also a complex pedagogical and organizational challenge that requires strategic thinking and continuous innovation.

As digital technologies gain space in our daily lives, the use and recognition of QR codes becomes more and more important. This technical article examines the process of recognizing and decoding QR codes from images, with particular regard to innovative image processing methods. At the beginning, we review the history, structure and areas of application of QR codes. After that, we present the basics of image processing and the various techniques used to recognize QR codes, including image preprocessing, code location, segmentation, perspective correction, and decoding.This technical article summarizes and interprets research results and developments in the field of QR code recognition and is a useful resource for researchers, developers, and industry professionals interested in QR code technologies.