Headings of the journal
"Educational Resources and Technologies"

Annotation: In order to determine the relevance of the study, the following factors were identified: global digitalization and digital transformation of education, the changing role of teachers in the digital educational environment, the need to improve the quality and effectiveness of education, the need to develop digital literacy of students, adaptation to rapidly changing technologies. In this regard, it becomes clear that it is no longer enough just to possess digital tools, it is necessary to have certain competencies that contribute to the effective integration of digital technologies into the educational process, taking into account didactic principles. The author substanti- ates the importance of the forming of the digital didactic culture of teachers as a synthesis of didactic culture and digital culture. To understand the concept of “digital didactic culture”, which is new to pedagogical science, 44 publications on the problems of the forming of didactic culture among teachers were analyzed, which made it possible to identify the main aspects of studying this concept, and the key characteristics of the concept of “digital culture” were identified. A comparative analysis of the three terms “digital didactic culture”, “didactic culture” and “digital culture” allowed us to create a methodological basis for the forming of digital didactic culture, which is based on scientific and theoretical approaches, takes into account the basic principles of clas- sical didactics and defines the conditions for the successful forming of digital didactic culture among teachers.

Annotation: The level of requirements for information processing is continuously increasing and therefore, the methods of its processing are also changing. Widely used structural modeling methods are object-topological, which limits their application to spatial objects. The article examines the problems of constructing structures in the information field. The information field is formed as a reflection of objects and processes of reality in the form of informa- tion images. The article proposes an integrative approach that uses the properties of the information field in combination with aggregative and stratification approaches. The integrative approach is based on the principle of forming aggregates or information layers. Each information layer is an aggregate that contains categorically and qualitatively similar information images. The structural scheme is formed on the basis of the composition of information layers. The integrative approach ensures comparability of schemes for different objects and patterns within the information field. The proposed approach can be considered as a variant of qualitative and quantita- tive analysis of the modeled objects. The proposed integrative approach makes it possible to solve the problems of clear and fuzzy structure construction, for example, the construction of clear and fuzzy cognitive maps.

Annotation: The relevance of the topic is determined by significant educational losses, largely related to the process of digitali- zation, which inevitably entails significant technocratization, bureaucratization, formalization and alienation of the content of both secondary and higher education in Russia from those who acquire it. The object of the research is the teaching of a general philosophy course to students of higher educational institutions of non-philosophical areas and training profiles in modern educational conditions. The subject of the research is the study and teaching in the general philosophy course of the main ideas of the two most important historical and philosophical figures who set the timeless basic content of such a form of spiritual culture of mankind as philosophy – Socrates and Plato. The purpose of the work is a pedagogical demonstration that, depending on the specifics of teaching phi- losophy, it can be made both repulsive and attracting the cognitive interest of the student audience. The research methods are deductive and inductive conclusions, analogical conclusions, idealization, abstraction, pedagogical observation and empirical generalization, comparative analysis and thought experiment. The result of the work and one of its conclusions is the substantiation of a kind of “pedagogical theorem” that a simple, clear and re- alistic presentation of any material greatly increases the level of educational interest of the student audience and the degree of learning effectiveness. The application area of the research results is ideological heuristics, philo- sophical enlightenment, teaching philosophy and other social and humanitarian disciplines in higher education.

Annotation: The article explores the phenomenon of information certainty and uncertainty in the information field. The concept of the information field is being expanded by including the uncertainty factor in it. Certainty and uncertainty are considered as a condition, as a factor, as an attitude. Descriptive and procedural tasks of the information field are highlighted, their characteristics in relation to certainty and uncertainty are given. The main factors that increase the degree of uncertainty associated with the measurement and transformation of connections and relationships of objects and their parts displayed in the information field are highlighted. The transition from point to areal models, which can be used to analyze spatially distributed objects typical in geoinformatics and situational modeling, is considered. Formal models are proposed that demonstrate how uncertainty can be repre- sented and interpreted. Models of certainty and uncertainty are demonstrated using areal examples. Uncertainty is interpreted not only as an epistemological phenomenon, but also as a state formalized within computational models. This makes it possible to apply the research results in areas such as cognitive modeling, unmanned control, knowledge extraction, and others.

Annotation: The article describes an approach to solving the problem of detecting current pulses of a surface barrier discharge at atmospheric pressure under conditions of large volumes of data obtained at a high sampling rate. A brief overview of the collected dataset is presented, an analysis of a typical detection algorithm is carried out, and its shortcomings are identified. A new two-step approach to data processing is proposed: classification of the time series for data pre- processing and detection of the start and end of pulses using a deep learning regression model. The article describes relevant neural network architectures and provides a comparison of the effectiveness of the considered approaches in solving time series classification tasks. The use of machine learning makes it possible to reduce detection errors. This method shows better results than existing approaches due to improved accuracy and noise resistance. The theoretical and practical results of the study are aimed at the development of technical diagnostics and machine learning methods.