The selection of an appropriate operating system (OS) in educational environments is a critical decision that impacts the functionality, user experience, and overall efficiency. Financial factors, along with the availability and functionality of tools used on these systems, play a crucial role in this selection. Furthermore, the OS affects the user experience, security, and adaptability to learning. Previous research in this area is scarce, and this paper contributes to a better understanding of the OS selection process in education. This paper proposes a novel multi-criteria decision-making approach to evaluate and select the most suitable OS for educational institutions. The methodology integrates the PIPRECIA method for assessing weighted criteria, alongside utility analysis (NWA), enabling a balanced decision-making process between institutional management and IT experts. The evaluation considered the following criteria: performance, cost, security, usability, implementation, support, and documentation. The study compared three popular operating systems: Microsoft Windows 11, GNU Linux Ubuntu 22.04 LTS, and Apple macOS 12 using the proposed approach. The results, based on the integrated evaluation of all criteria, indicate that GNU Linux Ubuntu 22.04 LTS (0.562) ranked highest, followed by Microsoft Windows 11 (0.553) and Apple macOS 12 (0.543). This paper emphasizes the importance of objective, group-based decision-making in selecting an OS for education, providing practical insights and guidelines for effective technology integration in academic settings.

In this paper, we present a presumably new representation of the Bernoulli numbers. We also give an elementary proof of the Akiyama-Tanigawa algorithm for calculating the Bernoulli numbers.

The digital transformation of tourist facilities requires careful selection of technologies that can provide secure, stable and scalable network infrastructure. Due to the possibility of application in different sectors with different specificities, the focus of the research was placed on the implementation of smart tourist services. A hybrid multi-criteria decision-making model based on PIPRECIA and MVA models was applied for the research. Based on the literature and the opinions of experts in the field, evaluation criteria such as bandwidth, latency, energy efficiency, security and privacy, scalability, costs and interoperability were defined, and internet technologies such as Li-Fi, Wi-Fi 7, Wi-Fi 6, private 5G networks, Ethernet-over-Power (EoP), NB-IoT and LoRaWAN were defined. The results obtained put the security and privacy criterion at the top (0.2253), followed by scalability (0.1952) and bandwidth (0.1624). The obtained results indicate that Wi-Fi 7 achieved the highest weighted score (4.2247), followed closely by Li-Fi (4.2177) and Wi-Fi 6 (4.0771). Wi-Fi 7 demonstrated particularly strong performance in scalability, interoperability and bandwidth, making it highly suitable for environments with high user density. Li-Fi achieved very high scores in security and latency, which makes it particularly appropriate for security-sensitive smart tourism environments. Lower-ranked technologies such as NB-IoT and LoRaWAN proved valuable for supporting IoT and monitoring functions, rather than as primary communication infrastructure. The proposed model has proven to be a flexible, transparent and practical tool for strategic decision-making in the field of smart tourism. In addition to the basic application presented in the paper, the model has the potential to be adapted to different contexts and expanded with additional criteria or new technologies. The proposed hybrid approach can serve as a useful decision-making tool for tourism managers, system engineers and urban planners who are looking for optimal solutions for the development of digital infrastructure.

We are witnesses of the time when technology is developing fast and finds its way in all spheres of life. The use of computers at school has many advantages and can be used in many ways in teaching. Some of the possibilities are application for practice, motivation of children for new areas of learning, research work, making various multimedia presentations to show their independent work, etc. There are also negative attitudes related to this topic. Through the research in this paper, we want to check whether the presence of technology in our schools is an advantage or not. By applying educational computer games, greater interest can be achieved in children, but on the other hand, we have teaching staff who are afraid of unfamiliarity and changes in the teaching process. As for the subject of this research we can ask the following question: Whether and how often teachers use educational computer games in teaching, as well as what are their views on the application of educational computer games and whether they have enough knowledge to create an educational computer game. The theoretical goal of this research is to increase knowledge about the application of educational computer games in teaching in primary schools. The practical aim is to determine, on the basis of the textbook, the opinions and attitudes of teachers on the use of educational computer games in teaching. The results of the research show that teachers still have negative attitudes towards the use of computers and educational computer games in teaching, while the other part thinks that they would like computers to be used more in teaching but that is not possible because schools are not technically equipped. During the research and analysis, we come to the conclusion that teachers have great aversion towards technology and its application in teaching, although some schools have organized the training of their staff to use some programming languages, they are still very poorly used in teaching.

Based on current data and documents available from relevant statistical organizations, this paper presents and analyzes statistical and economic indicators of software product development in Serbia, with a parallel review of adequate data for the European Union. A descriptive method for comparative analysis was used for the analysis of data related to the number of enterprises, number of employees, average realized earnings per employee, and the realized turnover in Telecommunications, Computer programming, and Information sectors. Due to considerable differences in terms of areas that countries cover and the strength of their economies, trends in the mentioned areas and monitored and analyzed parameters (e.g. employment, average earnings and total exports, i.e. turnover of services) were observed. The obtained results indicate that Serbia has exceptional potential in the field of computer programming, while other activities in the field of information dissemination and communication, for now, do not record significant growth. On the other hand, in the European Union, the analyzed areas show stability of the analyzed parameters in the observed period. This indicates that a high level of development has been reached in the EU and that significant progress is now being made more slowly. With this development trend, the field of computer programming will probably be the first economic area in which Serbia can catch up with the European level.

This study presents review of 7580 papers in 13 academic journals, published from January 2015 to January 2020. After a detailed analysis of all papers, 46 papers were further selected showing research on a student population aged between 6 and 15 years old. In order for the paper to be included in the research, the condition was that the paper deals with teaching at least one of the following content areas: programming languages, game design, computer thinking (CT), algorithmic thinking and robotics programming. This study shows the representation of the listed content area in reviewed papers for the specified time period as well as a detailed analysis of the selected papers. Available data about study, participants and education level, country (first author), learning domain, teaching tools, research questions, hypothesis, pre/post-test results, interviews, control groups, course duration, research design, previous experience, project or grant and re-search purpose in detected papers were analysed. In addition, impact of studying some of the listed content areas on student learning performance, motivation, attitude and perception were investigated.