The authors describe the design of a decision support system, which allows automating the works on extracting information from the survey results. The generalization of modern publications had confirmed the relevance of the primary purpose of the paper. The domain analysis determined what tasks the decision support system should solve. The results of domain analysis became the base for the requirements specification. Logical and process views represent the system architecture design. A denormalized data structure, which accelerates the acquisition of aggregated data in different dimensions, is developed. The system design provides the work with various data sources as well as incremental development of the decision support system.

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The paper discusses the methodological foundations of informational diagnostics on the base of cluster analysis for the objects represented by quantitative estimates. The literature review showed that the application of cluster analysis in some cases was successful; also, the theory of cluster analysis is well developed, and the properties of methods and distance measures are studied, which indicates the appropriateness of using the cluster analysis apparatus. Therefore, the development of a general methodology to diagnose any objects represented by quantitative estimates is a topical task. The purpose of this work is to develop methodological bases for determining diagnostic states and behavioral patterns for objects represented by quantitative estimates on the base of cluster analysis. Because of informational diagnostics is a targeted activity on the assessment of object state based on a dynamic information model, the model of a diagnosis object is discussed first. We examine the lifecycle of instances of diagnosis objects that are described by a plurality of parameters whose values are determined by a time slice along the lifeline of the instance. It is shown that a different number of measured values characterize each state of the diagnosis object. There are identified characteristics that should be analyzed to indicate a threat to the instance and the need for supportive procedures to prevent premature interruption of an instance's lifecycle. Experts should carry out the formalization of conditions for termination of the life cycle of the diagnosis object and formation of the list of supporting procedures. Because the quality of any information technology depends on the input data quality, a procedure for the analysis of diagnostic characters is developed. In order to start the diagnosis as early as possible and apply the available data as fully as possible, the methodologies for one-, two- and N-step diagnosis are developed. All procedures used cluster order. Transition patterns are defined for the two-step diagnosis, as well as trend patterns are defined for the N-step diagnosis. Transition patterns allow diagnosing the improvement, worsening, or stability of the diagnosis object state. The procedure for the diagnostic characters analysis and the methodologies of diagnosis is new scientific results. The application of the developed methodologies is demonstrated in the example of diagnosing students' success. In this case, the curriculum provides the domain model. Examples of diagnosing states and behavior, as well as identifying recommended reactions, are provided. For one-step diagnostics, the presence of the influence of the latent factor and the diagnostic signs that show significant instability are investigated. For one- and two-step diagnostics, the conditions for forming a risk segment are provided.

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, С.Л. Зіноватна. Інформаційна модель дистанційної системи навчання в умовах передачі да-них в гетерогенних мережах Інтернет. Через популярність дистанційного навчання в даний час та істотні відмінності програмно-апаратних засобів передачі даних актуальною задачею є варіативність навчальної інформації, що надається студенту. Метою є забезпечення заданих навчальних цілей за рахунок адаптації форматів і типів складових курсу у відповідності з характеристиками передавальної системи в поточному сеансі взаємодії навчального закладу і студента. Запропонована інформаційна модель дистан-ційної системи навчання, яка описує взаємодію навчального закладу і студента з урахуванням стану технічних засобів передачі та/або прийому вмісту навчального курсу. Отримала подальший розвиток фреймова модель предметної області як структури на-вчального курсу за рахунок введення додаткових слотів. Описані моделі дозволяють ввести формальні правила специфікації пере-даної інформації, керуючи часом і якістю передачі за рахунок регулювання обсягу та формату переданої інформації, з досягненням поставлених навчальних цілей.Ключові слова: інформаційна технологія, дистанційне навчання, навчальний курс, модель V. Krissilov, Ngoc Vu Huy, S. Zinovatna. Information model of distance learning system in terms of data communication in heterogeneous Internet networks.Due to current popularity of distance learning and significant differences in software and hardware data transmission means, the actual problem is the variability of training information provided to a student. The aim is ensuring specified learning objectives by adapting types and formats of the course components in accordance with the characteristics of the transmitting system in the current interaction session between an educational institution and a student. The information model of distance learning system, which describes interaction between the educational institution and the student taking into account the state of technical means of transmitting and/or receiving contents of a learning course, was proposed. Frame-based domain model as the structure of a learning course was further developed by introducing additional slots. The described models allow introducing formal specification rules for transmitted information, controlling time and quality of transmission by regulating the amount and format of information to be transmitted, with the achievement of the set learning objectives.Keywords: information technology, distance learning, learning course, modelIntroduction. Nowadays in order to build a successful career each person must follow the concept of LLL (Long-Life Learning). This is due to the fact that in terms of rapidly developing technologies in all fields of human activity, acquisition of new knowledge is an essential condition for achieving positive results in the work.Learning with compulsory attendance in the classrooms of educational institutions (EI) is not acceptable for everyone. Due to the development of information technologies (IT), every modern person has a device ...