Headings of the journal
"Educational Resources and Technologies"

Annotation: The article is devoted to the actual problem of improving the effectiveness of distance learning. The purpose of this work is to study the possibilities of increasing the educational motivation of distance learning students. The article considers the role of a teacher who accompanies the process of distance learning, describes the specifics of interaction between a teacher and students using computer technologies. The paper presents the difficulties encountered by students in the course of using distance educational technologies. The paper lists the features of the distance education system that reduce the educational motivation of students. The article presents pedagogical methods for increasing educational motivation, which are applicable in the conditions of virtual communication with students. The teacher’s stimulation of students ‘ educational motivation determines their cognitive activity, awakens educational activity. Regular contact of the teacher with students, as well as the organization of group work in the electronic system, strengthens interest in the learning process and maintains the necessary level of educational motivation throughout the training. In conclusion, the need for professional improvement of teachers in the development and use of all resources of the distance learning system is emphasized.

Annotation: The article considers the concept of forming an information culture among students of economic specialties as the most influential factor in the digital economy. The place and role of General culture and information culture as its component part in the modern digital economy are determined. The article substantiates the role of digital culture in reducing costs and losses from cybercrime, fakes, data redundancy and non-compliance with ethical rules in network communication and interaction. The differences between the concepts of “digital culture” and “digitalization of culture” are considered and the main approaches to defining the concept of digital culture are analyzed. An approach to creating a training course on information culture for economic specialties is considered, taking into account the features of the digital economy and new opportunities to improve the effectiveness of information systems and the formation of information resources. The conceptual provisions and structure of the digital culture training course for students of economic specialties are formulated.

Annotation: The article analyzes the complexity of algorithms of the first kind. The features are analyzed according to which the algorithm can be classified as an algorithm of the first kind. A new concept is introduced in the theory of algorithmic complexity “algorithm efficiency”. The difference between algorithms of the first and second kind is shown on the example of deterministic and non-deterministic Turing machines. The computational model is disclosed on the example of a Turing machine. A generalized model of algorithms of the first kind is given. The content is revealed and the necessity of the concept of asymptotic complexity is substantiated. Basic analysis is performed with classes and types of time complexity. Examples are given and the analysis of algorithms of constant time and linear time is given. The conventionality of some types of complexity is noted. It consists in the fact that algorithms that belong to the same class or type of complexity physically use different computation times. A situation is noted in which a simpler type of complexity spends more time on calculations than a more complex one. The drawback of the existing theory of algorithmic complexity is noted – the exclusion of the cognitive factor and cognitive complexity from the analysis of complexity. This is due to the exclusion of the concept of the effectiveness of an algorithm when analyzing or assessing complexity. The existing theory of complexity focuses on computation and computation time. But the main thing in the calculations is the result. If the result of the calculations is not qualitative or unclear, then the computation time loses its importance. Accordingly, the assessment of complexity classes should be tied not only to time, but also to the quality of the result. Results of further research are outlined.

Annotation: The article examines the current state of high-performance spatial information processing. This information is characterized by large amounts of information, a variety of data types and formats. One of the main methods of processing large-volume spatial information is parallel computing. There are various ways to implement parallel computing. The article reveals the features of implementing high-performance spatial data processing based on parallel computing. The features of different approaches to spatial data modeling are revealed, depending on the type of problems to be solved. The main features that characterize spatial data that relate to big data are highlighted. It is noted that the use of high-performance spatial data processing as a tool for analysis and decision-making is due to three reasons: expanding the capabilities of measurement systems; improving spatial models and methods for solving complex spatial problems; and increasing the performance of computing systems. The article typifies the features of using methods of high-performance processing of large spatio-temporal data, which are the basis of information support for geoinformation systems.

Annotation: The life cycle determines the period and quality of functioning of systems and products. Since the life cycle model is used in many directions, research on the conditions for its increase is relevant. The software lifecycle is an important characteristic, since it defines the lifecycle of the information system that the software is part of. In particular, the life cycle of training systems is related to the life cycle of software. The article examines the life cycle of training systems and the impact of software on it. The article introduces three concepts of objects according to the life cycle criterion: objects-carriers of the life cycle; objects with a managed life cycle; objects with a dependent life cycle. Depending on the type of object, life cycle models are considered for different situations. The difference between the dissipation and degradation of objects - carriers of the life cycle (as a process of attenuation of development and the process of deterioration of characteristics over time) is shown. It is shown that software redundancy and regeneration increase the life cycle of training systems. A life cycle resource model is proposed, based on the fact that the volume of resources and the speed of their expenditure determine the life cycle of the system. The main concept of the work is to increase the life cycle of training systems by using software regeneration.