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Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users' opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire. [ABSTRACT FROM AUTHOR]

Digitalization of production environment, also called Industry 4.0 (the term invented by Wahlster Wolfgang in Germany) is now one of the hottest topics in the computer science departments at universities and companies. One of the most significant topics in this area is augmented reality (AR). The interest in AR has grown especially after the introduction of the Microsoft HoloLens in 2016, which made this technology available for researchers and developers all around the world. It is divided into numerous subtopics and technologies. These wireless, see-through glasses give a very natural human-machine interface, with the possibility to present certain necessary information right in front of the user's eyes as 3D virtual objects, in parallel with the observation of the real world, and the possibility to communicate with the system by simple gestures and speech. Scientists noted that in-depth studies connected to the effects of AR applications are presently sparse. In the first part of this paper, the authors recall the research from 2019 about the new method of manual wiring support with the AR glasses. In the second part, the study (tests) for this method carried out by the research team is described. The method was applied in the actual production environment with consideration of the actual production process, which is manual wiring of the industrial enclosures (control cabinets). Finally, authors deliberate on conclusions, technology's imperfections, limitations, and future possible development of the presented solution. [ABSTRACT FROM AUTHOR]

Computational literacy (CL) has become indispensable for teachers and learners as part of 21st-century skills. Therefore, corresponding models for teacher education are being further developed internationally from a scientific perspective. In parallel, content and competencies are being enhanced in the respective subjects at the curricular level of teacher training. In this context, we consider it important to examine the current status of this development. Since, to our knowledge, there are no comparable scientific studies, we have taken Germany as a representative example of the international education system and systematically analyzed the module handbooks of the physics teacher training courses at methodically selected universities. For this analysis, we used three research questions focusing on CL: In which physics content does CL play a role? Which computer science competencies or knowledge can be identified or derived? Are they described implicitly or explicitly? Our results suggest that CL is integrated very differently in terms of quantity and depth of content among the universities we examined. For example, there is often a very strong focus on computer-based data acquisition, but few programs also have specialized courses addressing CL more explicitly or integrate additional computer science competencies. CL is primarily taught in laboratory courses and frequently in subject-didactic courses. Nevertheless, the depictions presented in the purely subject-oriented and basic lectures lack specific computational literacy skills or knowledge. Furthermore, the fact that many programs only offer implicit descriptions of CL skills indicates that the integration of these skills has not progressed very far in practice. [ABSTRACT FROM AUTHOR]