During the last decades the field of IT has seen an incredible and very rapid development. This development has shown that it is important not only to shift performance and functional boundaries but also to adapt the way human-computer interaction to modern needs. One of the interaction possibilities is a voice control which nowadays can't be restricted only to direct commands. The goal of adaptive interaction between man and computer is the human needs understanding. The paper deals with the user's emotional state classification based on the voice track analysis, it describes its own solution-the measurement and the selection process of appropriate voice characteristics using ANOVA analysis and the use of PRAAT software for many voice aspects analysis and for the implementation of own application to classify the user's emotional state from his/her voice. In the paper are presented the results of the created application testing and the possibilities of further expansion and improvement of this solution.

IntroductionThe rapid development of telecommunications and information technology, and the changes in the education system being brought about by this development are forcing universities, schools and other educational institutions not only to continuously improve their skills and tools but also to further improve their educational offering. The best way to enhance the image of universities and individual departments is to adequately build their own information space, which, thanks to technological advances can take a variety of forms. The authors of this article have attempted to systematize the analysis of the concepts associated with contemporary trends in the development of information and communication environment on the Internet, using as an example the Faculty of Ethnology and Sciences of Education, whose activity will be instrumental, inter alia, to the success of teacher training and the prosperity of future generations of young people living in the era of high technology, telecommunications, MTV, virtual space, the iPhone, the iPod, digital communications links based on information technology.In this article, the authors attempt to construct an information model, including all components and entities that are part of the operation of a specimen Faculty of Ethnology and Sciences of Education at the University of Silesia, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra. The expansion of information technology is comparable to the invention of writing. However, after

Educational data mining and Learning analytics represent a pair of research disciplines, which cover the majority of these data mining techniques, methods, applications as well as data mining tools in the area of education. The main aim of the paper is to summarize the main characteristics of Learning Analytics and focus on the approaches and frameworks used for its successful adoption and implementation of the environment of higher educational institutions.

No abstract

No abstract