Students acquire learning material in different ways. Some prefer to read, some prefer to listen, others use the third type of sense. Traditional teaching uses only one of these teaching strategies since it is impossible to use all of them in the classroom. However, these days, adaptive e-learning systems enable learning material to be customized to the individual needs of learners. For the purpose of this paper, the researchers designed a model of the adaptive learning management system and implemented it in Moodle. The system was evaluated on 228 students. The incorporation of learning styles in Moodle is based on the VAK learning style model. The authors analysed the effects and effectiveness of an adaptive e-learning system. It was discovered that there are significant differences in learning effectiveness, satisfaction and motivation when students use an adaptive e-learning module in comparison to a standard e-learning module. Moreover, we investigated the durability of knowledge acquired with an adaptive e-learning system by comparing the performance of students not only after the completion of the course but also a month after the course. The results of the research confirmed the authors’ expectations and showed that an adaptive e-learning system can increase students’ learning results. So far, to our knowledge, no study has evaluated the performance between a control and experiment group a few months after the completion of the course, i.e. by analysing the durability of knowledge acquired through an adaptive e-learning system. Moreover, the motivation of students to continue using an adaptive e-learning system hasn’t been analysed until now.

In this paper, we want to break down certain prejudices against new blockchain technologies and cryptocurrencies, especially the Bitcoin, as instruments having mostly negative connotations and representing an opportunity for various criminal activities, including the cases of money laundering where money has been acquired in unethical and illegal ways. According to that aim, there were applied the methods of genetic, structural and functional analysis, the method of correlative variations, as well as the analogous and normative method. A significant part of the paper is dedicated to an introduction to DLT - (Distributed Ledger Technologies), i.e. a distributed book of records technologies, on which the blockchain and its most important exponent - the Bitcoin - rests. Also, we had to touch upon the second most important contribution to this technology, namely the Ethereum blockchain, which expands the perspectives opened by the Bitcoin, and thus the possibilities for misuse of this technology, primarily due to its constitutive principle of anonymity. In the paper, we have shown the fact that despite inadequate legislation, both nationally and globally, the blockchain and cryptocurrencies have not significantly supported the paths of illegal money laundering, especially not related to serious crimes, in particular drug trafficking and terrorism. We mostly see the contribution of this paper in the typologization of possible money laundering procedures, especially by using the NFT (Non-Fungible Tokens), non-exchangeable tokens whose hype, in last two years, might be the result of a perceived opportunity for a new way of money laundering. We conclude that we should not be afraid of the Bitcoin, but it should be accepted as an integral part of a peaceful and prosperous futurity for it opens new perspectives for humanity burdened with bigger problems than money laundering, which had existed to the same degree even before the appearance of the Bitcoin.

Digital transformation has encompassed all segments of life, including education. In this paper, we examine the necessity of changing the educational paradigm due to the rapid development of communication technologies that have shaped the upbring-ing of young generations over the past decade, their impact on cognitive development, perception, and attention, the swift ad-vancement and efficiency of educational platforms, the increasing use of artificial intelligence, and, finally, the experiences from the COVID crisis period which significantly influenced the habits, expectations, and lifestyles of young generations. Based on the constructivist theoretical approach to the educational process, we propose the concept of a “learning landscape” designed on the principle of “active learning,” which places the learner at the center of the educational process. The effectiveness of learning outcomes depends on the functional combination of the traditional “face-to-face” approach and the application of automated digital tools such as digital educational platforms, modules, and artificial intelligence tools (a blended or hybrid approach). We also discuss the new role of educators in this process.

U ovom radu diskutujemo uticaj najnovijih tehnologija, prvenstveno veštačke inteligencije (AI) na šire društveno i prirodno okruženje, kao i na individualne živote ljudi u sve većem rasponu konteksta. Govorimo o AI kao kompleksnim ekosistemima napravljenim od prirodnih resursa, energije, infrastrukture, ljudskog rada, logistike, istorije, podataka i mnoštva klasifikacija. Uprkos tome što za sada AI nije ni veštačka a ni toliko inteligentna kao što se to predstavlja široj javnosti, postoji jaka težnja za njenom univerzalizacijom i apsolutizacijom. U ovom radu posebno smo diskutovali mogućnost primene AI u svrhu prepoznavanja emocija i nasilničkog mentaliteta u cilju prevencije nasilničkog ponašanja. To je zahtevalo analizu prakse prikupljanja podataka i njihovog klasifikovanja u fiksne kategorije kako bi se postigli “pouzdani” izlazi pretrage za različite potrebe. Profil nasilničke ličnosti je određen kako socijalno-relacionim tako i biološko-psihološkim karakteristikama, što predstavlja veliki broj varijabli koje treba uzeti u obzir prilikom konstruisanja algoritma za prepoznavanje emocija i nasilničke ličnosti. Naš zaključak je da sa trenutnim stepenom razvoja AI i veoma svedenim i diskretnim algoritmima nije moguće uzeti u obzir toliko podataka da bi se dobio pouzdan izlaz za predviđanje ponašanja kao i preduzimanje eventualnih mera, a da nisu diskriminatorne i opasne po pojedince i društvo u celini. Ali s obzirom na neverovatno brz tehnološki razvoj, naročito u oblasti kvantnog računarstva, pred ovom oblasti stoji veoma dinamična budućnost.

Empathy as a human trait that gives the ability to understand, respect, and share the feelings of other people is one of the most important elements in building a secure society and a culture of peace and non-violence. The level of empathy in individuals is influenced by endogenous and exogenous factors, and it has an affective and cognitive dimension. The aim of this paper is to investigate the concept of empathy, the extent of influence of endogenic and exogenous factors, to investigate the influence of three main elements in the development of empathy in children and youth, namely family, school, and media, and to investigate the degree of correlation between empathy and creation and maintaining a culture of peace and nonviolence. The methods used in this paper are quantitative and qualitative content analysis, comparative analysis, historical method, analogy method, and analysis of primary and secondary sources. The research confirmed the importance of empathy in the development of a culture of tolerance, dialogue, respect for opposing opinions and goals, respect for diversity, and non-violent response to conflicts. All these elements are simultaneously elements of a culture of peace and non-violence, and therefore the conclusion is that empathy is one of the preconditions for building a culture whose goal is a safer and more humane society that provides greater security from physical destruction than a culture of war and aggressive problem-solving. The authors conclude this paper with recommendations for the three main pillars of shaping empathy in children, namely family, school, and the media.

The subject of this paper is human resources in the field of science and technology in the Republic of Serbia. The aim is to establish the state and tendencies regarding the number and structure of human resources in the mentioned field. Accordingly, several research questions were defined. Open data (2018-2021) of the Statistical Office of the Republic of Serbia were used. The results showed that the average number of employees who have either higher education or are employed in the field of science and technology was 991.9 thousand and on average their number was growing. The majority were women, whose number and share increased on average. The average number of employees who have higher education and are employed in the field of science and technology was 501.4 thousand and their number was growing on average, including people of both genders. The majority were women, whose share was constant with a tendency to minimal decrease. The average number of employees aged 15-74 who are employed in the field of science and technology was 731.2 thousand and on average their number was growing, including persons of both genders. The majority were women, whose share was constant with a tendency to minimal increase. The most important sector in the field of science and technology was education. It is concluded that there are positive tendencies regarding the number of human resources in the field of science and technology in Serbia, especially when it comes to women.