MOODLE Platform as a Tool for Implementing Distance Learning in the Process of Training Future Teachers of Foreign Languages

Introduction. The training of future foreign language teachers should focus on current advances in the IT field, in particular on the use of elements of distance learning in mastering professional and general competencies. One of the common learning management systems that provide distance education is the Moodle system –Learning Management System(LSM), courses, virtual learning environment, or just a learning platform that provides educational subjects and administrators with a large set of tools for computerized teaching and learning. Purpose. The purpose of the paper is to analyze the features and advantages of distance learning in the information and educational environment of higher education, the structure and principles of working with distance courses in the Moodle system during the training of future teachers of foreign languages, which is used at Mariupol State University, and also to determine the advantages of the Moodle learning management system in the educational process. Results. We believe that the Moodle system, which was developed in the logic of the “pedagogy of social constructionism” (P. Berger and T. Lukman), is able to significantly increase the level of education if the work of students is properly organized in it: it will create a solid base and allow to prepare a specialist who is well trained and possesses competencies at a high level. On the example of our distance course “Methodological workshop” for students of OS Master in specialty 014 Secondary education “Language and Literature (English)”, which organically combines the theoretical principles and practice of teaching English, as well as in-depth study of the courses“Methods of teaching basic foreign language in secondary education”and“Modern technologies for teaching a basic foreign language (English) in high school”, which have practical importance in the professional development of future specialists, we analyzed the productivity of work organization and the effectiveness of students learning in Moodle, using the principle of “constructive coordination” (John Biggs). In its construction, we approached the planning of the entire process of studying the discipline as a set of interconnected types of educational activities of students. The principle of “first content, then technology” works here. This course contains three components that are consistent with each other: 1) expected learning outcomes, consistent with the objectives of the educational program and programmatic learning outcomes; 2) assessment, which verifies certain learning outcomes; 3) all types of activities during the course that are aimed at achieving learning outcomes. Conclusion. According to online surveys and our own experience, the use of distance learning courses created in the Moodle system in the educational process of students allows them to better study a specific academic discipline, helps to improve students’ achievement; complements enriches and makes the learning process convenient for both students and teachers.

Integration Environment Software Module for Accumulation and Exchange of Digital Medical Data

Introduction. The development of effective digital medicine tools is an intensive and complex process that requires the interdisciplinary efforts of a wide range of experts, from scientists and engineers to ethics experts and lawyers. Digital medicine products have great potential for improving medical measurement, diagnosis and treatment. One of the main challenges for the healthcare sector is to address the issue of fast, convenient and secure exchange of information about patients’ health. Service-oriented architectures of such products may accomplish many of the challenges facing healthcare systems. The purpose of the paper is to develop an information and software module ExchangeDMD to ensure the accumulation, storage and exchange of diagnostic medical data in accordance with modern medical information standards to maintain the interoperability function as one of the leading principles of digital medicine. Results. A special adaptive architecture of digital medicine infrastructure has been developed, which enables an integrated solution of data exchange between participants of providing medical services, which is carried out with the help of web services. The specifics of different types of medical information are analyzed and taken into account in accordance with the access regime for its processing. The module structure has been developed and implemented in software, which has three main levels: central virtual storage (virtual data center to implement certain functions), remote administration segment (technical support and administration network) and user segment (mobile devices and user-patient applications). Conclusions. The ExchangeDMD information and software module is designed to ensure the accumulation of patient data, integration between the various units within the system, as well as to ensure the management of this data by health care personnel. The ExchangeDMD module is built using the international standard HL7 CDA, which enables formalizing electronic medical records using RIM (information model links) to attract the necessary directories and classifiers when creating medical records and documents.

The Problem of Constructing the GMDH Neural Networks with Active Neurons

Characteristics of the existing neural networks of GMDH with active neurons are given and their main advantages and disadvantages are analyzed. An approach to increasing the efficiency of inductive construction of complex system models from statistical data based on the creation of a new class of GMDH neural networks with active neurons using methods of computational intelligence is proposed.

. Information Architecture of a Modern Enterprise in the Period of General Digitalization of the Economy

In modern conditions of digitalization of the economy, the information acquires the same value for the activity of the enterprise, as well as finances, marketing, potential, production. This means that information is being transformed into a certain type of production resource and integrated with the business strategy. Based on the critical analysis of theoretical material, as well as the use of practical developments, the role of creating a quality information architecture in a competitive enterprise is determined. The method of developing the information architecture of the enterprise is presented. The variant of the decision of a problem of the enterprise concerning the correctness of the information on information and technological support of business and strategies of its further development in the form of development and construction of the architecture of the information of the enterprise which provides interrelation of strategic purposes and tasks of the enterprise, business processes and technologies is offered.

Cognitive Modelling of the State of an Object-Based on a Thought Experiment

Introduction. At the current level of development of research in the field of artificial intelligence, it is defined as a set of technological solutions that allow simulating cognitive functions, obtaining results comparable to the results of human intellectual activity. In this regard, the problem arises of creating a technology that imitates the cognitive functions of analyzing the state of objects when the conditions of their functioning change. Analysis of the status of objects in the different problems of environmental, technical, social, political and other nature is carried out most often on information models. The peculiarity of their solution lies in the fact that it is necessary, as a rule, to restore indefinite, sometimes not amenable to quantitative analysis, dependencies and patterns. Since full-scale experiments in these subject areas are often impossible, and sometimes very expensive and even dangerous, the only research method in this case is a thought experiment using the method of experimental perturbations of the state of an object. Purpose. The purpose of the article is to create a method of cognitive modelling based on a thought experiment for the problem of assessing the state of an object from incomplete and fuzzy data. Methods. To implement the method of cognitive modelling based on a thought experiment, the method of a mental complete factor experiment (MСFE) is applied using the method of experimental perturbations. Results. To implement the method of cognitive modelling based on a mental experiment, a procedure has been created that evaluates the state (behaviour) of an object in a present or anticipated future situation based on the method of a mental complete factor experiment (MСFE) using the method of experimental perturbations. The developed procedure makes it possible to obtain solutions to the problem of predicting the state of a certain object in the future using incomplete and fuzzy data and using an expert “built in” to evaluate the forecasting results. Conclusion. The results of the research presented in this article, which are conceptual in nature, show the possibility of creating elements of technology that imitate the cognitive functions of analyzing the state of objects when changing the conditions of their functioning using a thought experiment. The developed method can be used to solve the problems of assessing the state of various objects when creating intelligent information analysis systems in order to obtain new knowledge about the object.

Full Text Search Setup on a Website

ntroduction. When implementing the search for text fragments on the site, approaches are used that are different in complexity and performance. There is also a sequence of related tasks: choosing a text indexing option, sending a text for indexing, selecting texts for indexing specifically from the CMS database, choosing a search engine, and others. These approaches do not always provide satisfactory search results. Purpose. The purpose of the article is to the description of existing solutions for full-text search on a website, their advantages, and disadvantages. Development of a full-text search algorithm using the Elasticsearch system. Methods. Analysis of approaches to the implementation of full-text search on a website, varying in complexity and performance. Identification of flaws and vulnerabilities in more primitive approaches and the development of more advanced and complex algorithms that eliminate the identified deficiencies. Step-by-step implementation of full-text search using third-party systems. Results. A method for implementing full-text search using Elasticsearch is described. The advantage of the new approach is the asynchronous sending of the page content and its address to a specific service responsible for communication with Elasticsearch. This allows you not to block the normal work with the CMS and not depend on the availability of the indexing service. The approach described in the article is flexible and adaptable for various website architectures. Asynchronous processing of indexing requests ensures high query execution speed and system fault tolerance. Conclusions. The article discusses various approaches to implementing full-text search on a website, their advantages and disadvantages. Based on the analysis, a more flexible and universal approach to the implementation of a full-text search system has been developed. A solution is proposed with step-by-step implementation and setup of advanced full-text search using Elasticsearch.

On the Generalization of the Random Projection Method for Problems of the Recovery of Object Signal Described by Models of Convolution Type

Introduction. In technical systems, there is a common situation when transformation input-output is described by the integral equation of convolution type. This situation accurses if the object signal is recovered by the results of remote measurements. For example, in spectrometric tasks, for an image deblurring, etc. Matrices of the discrete representation for the output signal and the kernel of convolution are known. We need to find a matrix of the discrete representation of a signal of the object. The well known approach for solving this problem includes the next steps. First, the kernel matrix has to be represented as the Kroneker product. Second, the input-output transformation has to be presented with the usage of Kroneker product matrices. Third, the matrix of the discrete representation of the object has to be found. The object signal matrix estimation obtained with the help of pseudo inverting of Kroneker decomposition matrices is unstable. The instability of the object signal estimation in the case of usage of Kroneker decomposition matrices is caused by their discrete ill posed matrix properties (condition number is big and the series of the singular numbers smoothly decrease to zero). To find solutions of discrete ill-posed problems we developed methods based on the random projection and the random projection with an averaging by the random matrices. These methods provide a stable solutions with a small computational complexity. We consider the problem of object signals recovering in the systems where an input-output transformation is described by the integral equation of a convolution. To find a solution for these problems we need to build a generalization for two-dimensional signals case of the random projection method. Purpose. To develop a stable method of the recovery of object signal for the case in which an input-output transformation is described by the integral equation of a convolution. Results and conclusions. We developed the method of a stable recovery of object signal for the case in which an input-output transformation is described by the integral equation of a convolution. The stable estimation of the object signal is provided by Kroneker decomposition of the kernel matrix of convolution, computation of random projections for Kroneker factorization matrices, and a selection of the optimal dimension of a projector matrix. The method is illustrated by its application in technical problems.

Development Prospects of the Software-Hardware Complex of Hierarchical Control Systems

Introduction. Hierarchical control in complex multilevel systems has been studied since the period of classical cybernetics. At that time, basic definitions and concepts were introduced. It is time to start remembering those achievements because those decisions can already be implemented. However, the situation is constantly changing (evolving), so those tasks are perceived differently today. And the question arises as to how these old developments will progress, whether they will be used? Purpose. The purpose of this work is an attempt to predict the development of hierarchical multilevel control systems in the future and how it depends on the latest technologies that determine their software-hardware complex (SHC). Result. The analysis of the essence of the multilevel hierarchical management system, its features and additional requirements for the software-hardware complex, the current state of hierarchical management systems, the impact of advances in IT technologies and theories on the features of hierarchical management are carried out. The current state is studied on the example of NATO hierarchical systems. Based on the forecasts of the development trend of IT technologies, the forecast of trends in changes in hierarchical multilevel control systems is proposed. Conclusions. As a result of the analysis of the essence of hierarchical multi-level management systems, the current state, and forecast of the development of IT technologies, the authors made the following conclusions: – the hierarchical structure of a complex multi-level system will be in demand in the near future; – Hierarchical systems will consist of standard components with elements of artificial intelligence that controls the components; – the process of creating a hierarchical system will be simplified, so it will be possible to use ready-made solutions.

Cybernetics and Technology of Development. Basic Definitions

Cybernetic research on the management of systems development is at an early stage: there are no examples of productive management of development of the state, economy, enterprise, technical systems, ecology, society, education, morality, health, intelligence, personality, psyche. For modern cybernetics, these challenges are a major challenge that it can meet only after rethinking its fundamentals. The development process has the highest cost of decision-making error, because it is strategic, and to base development on the basis of dubious statements is not rational. A necessary foundation of development management methodology should be a self-evident statement that does not require any additional justification and that no one can question, and the whole system of basic concepts should be defined based on this statement. This article is devoted to solving this problem.

Application of the CORAL GMDH Algorithm for Modeling and Forecasting the National Income of Ukraine

CORAL GMDH is a method of the inductive approach. In this article it is used for modeling and forecasting socio-economic processes. Here the CORAL GMDH algorithm is applied to solve three problems: recovery of missing data, modeling of macroeconomic indicators, and forecasting the gross national income (GNI). Also, the CORAL GMDH algorithm is used to build models in the problem of modeling the dependence of GNI on socio-demographic indicators and develop recommendations on how the state can influence the level of human capital development in the country by influencing certain socio-demographic indices. The results of modeling for Ukraine, Belarus, and Poland are compared.