<p class="0abstract">The aim of the article is to study the modern mobile learning system, to understand its advantages and disadvantages, and to determine the relationship between the concepts of digital learning. The goal of the study is to conduct an experiment on the implementation of a flexible mobile application for studying the "macroeconomics" by students of economic specialties and to compare the results obtained with the selected control group. A total of 20 sophomores (10 each from two universities: Sechenov University, Department of Economics and Management; and Azerbaijan State Economic University, Department of Economic Theory) were offered to study the course in macroeconomics using a mobile application during the semester (from September to December 2019). Students were selected from two universities for the scientific objectivity and from the second year of the bachelor's degree, since "macroeconomics" is studied in the early courses, regardless of the further, specific economic direction of the student. Students did not attend lectures and practical classes with a teacher; all training was performed with the help of an application. A control group of the same specialty and year (also 20 people) was selected to confirm or contradict the effectiveness of such a mobile application. The control group students studied "macroeconomics" in the traditional way, namely attending lectures and practical classes with a teacher, during this semester. As a result of the experiment, the study group students liked training with the application. Meanwhile, 70% of the students would not like to have such training for all disciplines, permanently. But students supported studying using a special mobile app as a supplement to the main format of teaching. During the final examination, held by the traditional method (a written exam - answers to 4 open questions and 10 multiple choice questions), the following results were obtained. Students, who were using m-learning, on average, got higher results by 0.2 points, according to the overall assessment, a 5-grade scale, and separately according to the test results more by 2 correct answers than students with the traditional education. Thus, this can be explained since students using mobile app practiced material in a form of game or case, which helped them to immerse themselves more in the problem and to assimilate the material. The results were compared with the research of other scientists.</p>
The article analyzes the trends of digitalization of the labor market in the fourth industrial revolution. In the course of our work, we used empirical (observation, description, calculations and measurement) and theoretical (analogy, comparative analysis, literature analysis) research methods. New specialties and competencies that will be in demand in the future, as well as barriers to retraining of employees, have been identified. The impact of the covid-19 coronavirus pandemic on the labor market is also being considered. On the example of the entertainment industry, the effect of the introduction of quarantine measures is demonstrated. The conclusion is made about the future prospects for the development of the labor market in the conditions of the crisis. A number of anti-crisis measures based on the methods of planned economy are proposed.
For success in the stock market, constant forecasting of market conditions and the value of securities is necessary. In addition to the basic methods, such as fundamental and technical analysis, used to predict market events, serious attention should be paid to fractal analysis. The study showed that along with the simplicity and originality, that method can take into account a rather serious component of the securities cost- the enterprise hidden innovative potential, which is currently at a fairly modest level. Nevertheless, when certain conditions are created, it is possible to realize the hidden characteristics of the enterprises innovative potential, which will cause an increase in the value of securities and a growth for the entire stock market. This article discusses the basic properties and nature of fractals, the scope of their application in the economic environment, and also highlights the advantages of the fractal approach in studying the dynamics of the stock market and the value of securities with regard to the hidden innovative potential of enterprises.
Successful economic development is provided by innovative strategy. To implement successfully the innovation strategy enterprise need to produce a more complete assessment of the competitiveness of innovation. A distinctive characteristic of the innovation as a commodity is a high degree of uncertainty in getting results. The article shows how to build the tree structure factors model. Factors, which are considered, ensure the competitiveness of innovations.
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