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The article presents a lingvocognitive research and deals with the study of metatext as a means of representing the author’s worldview. The author of the study describes and systematizes the ways by which metatextuality reveals itself in a literary text. The material is taken from the novel Word Child by Iris Murdoch in which meta-language reflection is expressed evidently. Cognitive approach, used in the study of metatext, brings the research to the level of metacognition and provides a wider interpretation of both the forms of metatextual commentary in the text and their function in the reconstruction of the author’s individual world vision.

The issues of application of projects implemented with the help of computer modeling within the framework of STEM-education, which is fundamentally different from traditional teaching, are considered. This system creates conditions for development and improvement of analytical and creative abilities of students, gives them an opportunity to try themselves in teamwork, and develops their independence in acquiring new knowledge. This type of activity contributes to the integration of academic subjects, the formation of students’ skills of using modern technologies and modeling in their activities. Independent creation of models gives students the opportunity to better understand the basic properties of objects, phenomena, processes, their studied components, and the relationship between them. The study of models develops in children the skills of analysis, synthesis, critical thinking, and methodical approach to content realization by means of computer modeling within the framework of project-based activities. The results of the research into the use of computer modeling as a means of implementing project activities in STEM-education are presented. The conception of the research was cross-cutting skills common for all key competencies would be formed among those who receive education after the STEM-projects implementation. Cross-cutting skills are formed in all subjects and are common to the key competencies. In the course of the study we have come to the conclusion that after the implementation of STEM-projects the distribution of cross-curricular skills common to all key competencies of education applicants has changed.

The article considers experimental testing of pedagogical conditions for the formation of the readiness of future primary school teachers to use cloud technologies in their professional activity. The concept of the study was that training future primary school teachers becomes effective under certain pedagogical conditions, namely: motivation of future teachers to acquire theoretical knowledge by means of cloud technologies; organization of training, using the capabilities of cloud technologies; introduction of forms, methods and means of training that contribute to the formation of the readiness to use cloud technologies in professional activities; mastering the method of application of cloud technologies. Experimental verification was carried out in four stages. The results of the preparatory stage were the clarification of the main definitions, defining the goals and objectives of the study, the selection of cloud technologies to create an educational environment, based on the studied psychological and pedagogical literature on the subject. The ascertaining stage gave us the opportunity to clarify the methodology of the pedagogical experiment, to identify the levels of formation of the readiness to use cloud technologies in professional activity and to conduct the initial control of knowledge, skills and abilities. At the formative stage of the experiment, the developed methodology was tested and changes in the level of the readiness for using cloud technologies in professional activities in the experimental and control groups were revealed. The result of the control phase of our study was the final check of the level of readiness for the use of cloud technologies in the professional activities of control and experimental groups, which showed a change in the distribution of higher education in accordance with all components of readiness. The introduced pedagogical experiment allowed to determine the effectiveness of pedagogical conditions for the formation of the readiness of future primary school teachers to use cloud technologies in their professional activity.

Modern education is closely connected with widespread digital technologies, through which communication, collaboration, creativity, and innovation can be organized. The aim and objectives of the article consist in describing the experience of real experience with cloud technologies on the example of a municipal organization (institution, establishment) “Shostka educational complex: specialized school of I-II degrees-lyceum of Shostka town council of Sumy region”. To test the effectiveness application of cloud computing technologies in the educational process of the institution, experimental work was carried out, as a result of which carried out: analysis of the possibility application of cloud computing technologies in the learning process; determination of pedagogical conditions application of cloud computing technologies in the learning process; testing the effectiveness of certain pedagogical conditions. Assessment of the possibility of using the selected technologies in education was carried out according to the results of a survey of all participants in the study. This stage made it possible to determine the main directions of research, take into account the possible obstacles to their use. To implement the selected pedagogical conditions, guidelines for teachers on the use of these technologies in the learning process were developed, which contain a set of methods and techniques for organizing lessons, ways to implement a business game, cluster, senkan, fishbone, comparison chart, brainstorming . Organizing the educational process with the help of cloud technology is one of the priority areas of updating modern education that allows not only to improve the quality of education, but also to achieve a new level of relations between participants in the educational process at all stages of teaching. They help teachers work not only with children but also with their parents. During the transition to the new educational standards, cloud technologies contribute to forming a new digital culture of teachers and students. Their applying in the educational allows to make the educational space open.

The article describes the management model of complex socioeconomic systems, based on the synthesis of information that characterizes economic systems. To summarize the information, it is proposed to use the Rasch model for estimating latent variables. The management structure of complex economic systems is considered on the basis of generalization of system indicators according to the Rasch model. The mathematical basis for solving the problem is described, including taking into account the importance of the criteria. The case is considered when the values of indicators of the economic system are obtained from a variety of information sources. The results of computational experiments are presented, which allow analyzing the main properties of estimates of generalized indicators of economic systems. Computational experiments have shown that estimates of generalized indicators of objects are measured on a linear scale, are highly accurate and resistant to changes in the source data.

The conceptual and methodological principles of future technology teachers’ training to the innovative pedagogical activities in terms of the postmodern approach are scientifically argued and developed in the article. It is proved that their training becomes effective if it is carried out according to the defined theoretical and methodological bases of the search, taking into account the main directions of reforming the system of higher pedagogical education in the context of innovative development of Ukraine. The essence and content of readiness of future teachers of technologies for innovative pedagogical activity are revealed, components (motivational, cognitive, activity-technological, and creative-reflexive), criteria, indicators, and levels of its formation are defined. The pedagogical conditions of training of future teachers of technologies for innovative pedagogical activity are substantiated; theoretically developed and experimentally tested component model of the professionally-oriented educational environment of pedagogical free economic zone and structural-functional model of training of future teachers of technologies for innovative pedagogical activity. The effectiveness of the gradual introduction of methods of training future teachers of technology to innovative pedagogical activities through the use of developed methodological support and improvement of content, forms, methods, and means of educational interaction of subjects and objects of educational process environment of pedagogical higher educational establishments was experimentally tested and confirmed using the methods of mathematical statistics.

The paper reveals the essence of digital changes and digital transformation. It was possible to determine the essence of strategic approaches to business transformation in the turbulent conditions of digital transformations and outline ways to build strategies for digital transformations. The paper analyzed the factors influencing the implementation of digital transformation strategies of the financial sector. Based on the capabilities of the external environment, a brief analysis of new opportunities for digital transformation in the field of financial services was carried out. An attempt was made to develop approaches to creating strategic digital transformations of financial companies, as well as develop a competitive strategy for the consistent development of a specific financial organization based on strategic digital changes in the digital transformation environment of the industry.

To assess the state of complex objects (regions, enterprises, programs, etc.), integrated assessment systems (IA) based on dichotomous trees and matrix convolution of assessment criteria are currently widely used. The dichotomous tree determines the structure of the IA-system (the order of convolution of criteria), and the matrix convolutions at the vertices of the tree determine the generalized estimates obtained as a result of the convolution of two estimates. The task of synthesizing an IA-system includes determining the structure of the system (dichotomous tree) and convolution matrices at each vertex of the tree, with the exception of the initial. The second problem is considered in the article, i.e. convolution matrix determination problems based on training options set by experts. The task is to determine (m − 1) matrices, where m – is the number of criteria so that for any training option, the score obtained on the basis of the IA-system coincides with the expert one. The problem is considered for the case of a consistent tree structure, when the criteria are added one at a time (criteria 1 and 2 are aggregated, criterion 3 is added to the resulting generalized estimate, etc.). The idea of the proposed approach consists in the sequential construction of convolution matrices, starting from the top level, the next matrix is built on the basis of the previous one. At the same time, the conditions for the existence of a matrix in the form of inequalities for generalized estimates of learning sub-options are obtained. These inequalities are associated with a graph whose vertices denote subvariants, and arcs reflect inequalities connecting generalized estimates.

Oxidation catalysis of organic substances has attracted special attention in recent years due to of their high industrial significance in green and energy chemistry. The implementation of a transition metal-based catalyst in combination with oxygen is an alternative to the traditional procedures. This study justifies the application of amperometric response 'in situ' for estimation of the electrocatalytic activity of metal oxide films, which are known to be promising for oxygen transfer processes. The reaction of electrooxidation of Mn2+ ions may be termed as a 'marker' for oxygen transfer reactions due to its kinetic features, such as proportionality between the current density and the surface concentration of •OH-radicals. The relative parameter, kox, has been offered for estimation of the oxidizing capacity of an anode material toward oxygen transfer reaction in reference to platinum oxidizing capacity. kox value is automatically calculated exactly during electroplating of MnOx as a ratio of the current density of Mn2+ + 2H2O – 2e→MnO2+4H+ reaction on the tested surface to the current density of this reaction on Pt surface. The developed method was tested during the investigation of catalytic activity of MnOx films for electrooxidation of glucose. The parameter kox was calculated for other anode materials and was analyzed. The application of the new method allows estimating and comparing the catalytic performance toward oxygen transfer reactions of anode materials or of the same material in different modifications, such as nano particles, composites, different compositions etc. The pre-test reduces manifold the time spent for determination of oxidizing capacity of oxides.

The paper presents a method for calculating the preferred approach when evaluating intellectual property, taking into account local confidence factors, which makes it possible to obtain the final value of intellectual property with high probability and accuracy, using three wellknown approaches. This method has a high practical significance, since all evaluators have to constantly face the choice of the preferred approach. Local confidence factors have been developed with the respect to the type of intellectual property, the type of production, the stage of the life cycle, the purpose of using the object, the value of the indicator deviation from the average value. The influencing factor determines the local confidence factor for each method of evaluation separately through the established functional dependence. The method used neural network modeling, which allows quickly solving a whole range of problems in a single method. Using the proposed method, it is possible to automatically calculate the weighting coefficients of the income, cost, and comparative method, ensuring the necessary accuracy of the final value.

The paper clarifies the concepts of “renewable” and “alternative” energy, classifies alternative energy sources, summarizes their preference over traditional energy sources. The paper considers the issue of using wind power and solar energy as the most acceptable alternative energy sources for the construction of agricultural facilities. A detailed analysis of the strengths and weaknesses of the wind and solar installations applying was carried out.

Background: This article describes the theoretical and methodological approaches to the study of regional policy. Methods: The relevance of the research topic is due to the growing influence of regional political processes on the socioeconomic and socio-cultural development of both the regions and the country as a whole. Findings: The importance of defining the role of regions in the sustainable development of the country is pointed out by the President of the Republic of Kazakhstan N.A. Nazarbayev. In the research, the political analysis of the regional policy formation in the Northern regions of Kazakhstan is carried out in the context of the republican model of regionalization, the main stages, trends and peculiarities of its implementation are identified. This study examines the infrastructure of the political process in the region and its dynamic aspects. A special attention is given to the study of electoral politics and activity of political parties in the regional political process. Improvements/Applications: The article investigates the political mechanism for the implementation of the regional policy of the Republic of Kazakhstan; practical recommendations for its improvement are proposed.