Current trends in educational sciences can best be evaluated by assessing the master and doctoral theses defended at the universities. The goal of the present paper was to do a qualitative content analysis of the titles of master theses defended at the Faculty of Educational Sciences at the University of Sarajevo, Bosnia and Herzegovina. Total of 393 master theses defended in the period from 2012 to 2021 were the subject of this analysis. Of these, 287 were defended at the department for teacher education and 106 at the department for preschool education. As expected, most of the studies dealt with early elementary school students and preschool children. Many studies contained the term “development” in its title, and it was referring to all domains from speech to socio- emotional and motor development. Several studies examined parental and teachers’ attitudes towards various topics. In relation to the subject, most studies dealt with science education, followed by physical education and language. A number of studies had special education as the main topic, covering issues of teacher competencies, creativity, support to students with developmental disabilities, to the quality of life. Students have studied various relevant topics. In the future, we expect to see an increase in studies covering digital competencies of teachers and evaluation of online education.

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Background: Scientific researchers in the field of biomedicine have the role to interact through published articles in the scientific journal or presentations at scientific and professional conferences because on this way they can affect to the practices that can make people healthier and more satisfied with outcomes of health care systems. For this reason, scientists are encouraged, especially young ones, that after complete the project and finalyze their research investigation to publish scientific work outcomes in a professional and scientific journals. Objective: The aim of this article is to present the current tools available in scientometry for the evaluation of scientific validity of published articles and explain the purpose and, also, to describe the role of important indexed database in dissemination knowledge through the biomedical journals. Methods: Author searched the most influential on-line databases and analyzed deposited papers within the topic scientometrics and used descriptive method of reviewing important facts about experiences with scientometrics in the scientific and academic practice. Results and Discussion: Bibliometric methods are used for quantitative analysis of written materials. Citation provides guidelines for scientific work, because it stimulates scientists to deal with the most current areas of research, and organizes scientific article at the world level, or shapes and directs it. Citation is influenced by: article quality, understanding of the article, language in which the article is written, loyalty to a group of researchers, article type, etc. Some of the indicators used in the evaluation of scientific work are: Impact factor (IF); Citation of the article; Journal citations; Number and order of authors, etc. Impact Factor is the number of citations of articles published in the journal during the previous two years divided by the total number of articles published in the journal during the same period. Factor of influence depends on: the quality of the journal, the language on which it was printed, the area it covers, the journal distribution system. Conclusion: In this article we pointed that h-Index and Google Scholar indexes presents one of a set of valuable measures to determine scientific excellence. Although the h-Index is a better measure than a citation impact factor (IF), it is still based on the opinions of other authors. Since research in medicine can affect the improvement of clinical and public health practices, it is necessary to conduct them. Only quality research with exact results offers the scientific community new information about the examined problem, and the researcher personal satisfaction, the possibility of communicating and conducting scientific dialogue with other members of the academic community, and opening opportunities to receive critical review of those who have insight into the research.

We study nonlinear networked control systems (NCS), where the controller is implemented over multiple processors via an emulation-based approach. We start with a stable and centralised NCS commonly considered in the literature. Then, we show how to implement the centralised controller over multiple processors inspired by parallel computing techniques, so that stability is preserved (semi-globally and practically) under sufficiently fast computations. An example is given to illustrate the main results.

The article presents the contribution of socio-demographic, socio-economic, employment status and level of education of parents/guardians to students’ school success. The aim of this article is to discover the causes of school (un)success given the contribution of predictor variables. The predictor set of variables consists of four scales: socio-demographic status (total number of brothers, total number of sisters, marital status of parents, distance from home to school and number of members households), socio-economic status (total monthly income of parents/guardians, place to study in the house/apartment, possession of laptop/computer, constant internet access in the house/apartment and the way they come to school), employment status of parents/guardian and educated status of parent/guardian. In addition to the set of predictors, a criterion variable was used, which consists of three dimensions, namely school success at the end of the sixth, seventh and eighth grade of primary school. The results of the research confirm a statistically significant correlation between socio-demographic, socio-economic, employment status and the level of education of parents/guardians and school success of children, provided that socio-demographic status has a higher predictive power on students’ school success. It was confirmed that students have a positive attitude about the importance of the grade as well as that they perceive that their parents have the same attitude.

Faced with a changing business environment and increasing competition, enterprises have started looking for innovative solutions be­yond hierarch organizational boundaries. The community of crowds can be employed as a valuable factor in an enterprise’s innovation process to cre­ate value and upgrade its knowledge base. The present paper seeks to un­derstand the role of the crowdsourcing mechanism through the intellectu­al capital framework, resulting in a renewed knowledge base. The model was empirically tested using a data set obtained through a questionnaire fulfilled by representatives of enterprises in the Republic of Srpska, Bosnia and Herzegovina, using partial least squares structural equation modelling. The findings reveal that crowdsourcing causes significant linkages between intellectual capital dimensions among which crowdsourcing-human cap­ital and crowdsourcing-structural capital contribute more to enterprise re­newal of knowledge base. Research results could assist managers in strate­gic decisions in resource allocation in promoting and sustaining knowledge dissemination to increase the renewal capability of enterprises.