Headings of the journal
"Educational Resources and Technologies"

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 research is aimed at forming a comprehensive view of the problem of assessing reliability as a characteristic of objects in the information field. It is shown that with a full assessment of the reliability of information, there is a need to move from a one-sided approach to a dichotomous approach. It is proposed to evaluate the unreliability of information when assessing the reliability of information. Formal schemes demonstrate that the reliability of information is a measure of proximity to the truth, unreliability of information is a measure of proximity to a false assessment. A methodological scheme for assessing the reliability of information in scientific research in the form of rules is proposed. A variety of types of information is noted, which is associated with the use of different criteria for assessing reliability. It is shown that in many cases there is a multiplicity of confidence estimates and that reliability characterizes a certain confidence interval. The concepts of “plausibility” and “delusion” are highlighted as components of the dialectic of scientific research. The conclusion is formulated that the assessment of reliability includes the analysis of information for reliability, unreliability, plausibility and delusion. The use of a dichotomous approach (reliability ↔ unreliability), as well as the inclusion of the categories “likelihood” and “delusion” allows us to expand the analytical tools for studying this problem.

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.

Annotation: The future of education is associated with educational ecosystems, the role of which in the forming of environ- mental culture and the transmission of practices sustainable development can hardly be overestimated. In edu- cational ecosystems, there is an exchange of knowledge, experience and innovative approaches to environmental education, sustainable development practices are formed, and environmental responsibility skills are acquired. The purpose of this study is to consider educational ecosystems in the context of the forming of environmental culture and sustainable development, as well as to identify promising areas, the implementation of which in the educational ecosystem will contribute to increasing the environmental responsibility of students. To solve this problem, the study uses the method of studying the scientific literature on the concepts of “environmental culture” and “educational ecosystem”, a review of the legislative framework regulating environmental education at the national and international levels is conducted, the results presented in national and international rankings and voiced in analytical reports are summarized. Based on the results of the study, it was found that productive co- operation and partnership in the educational ecosystem form a positive result from such integration, consisting in providing participants with the opportunity to implement environmental innovations and sustainable develop- ment practices. The results obtained contribute to the development of an ecosystem approach in environmental education due to a deeper understanding of the importance of forming an environmental culture and sustainable development among students.

Annotation: The article is devoted to the theoretical understanding and methodological formulation of the concept of in- formation reliability as an independent interdisciplinary category. It is shown that, unlike technical reliability, information reliability relies on fuzzy, cognitive and semantic characteristics, which makes the problem of its assessment methodologically difficult. An attempt has been made to bring this concept beyond the traditional engineering interpretations, substantiating its applicability to information models, information systems and information processes. A multifactorial structure of information reliability is proposed, including reliability, relevance, recoverability, information quality, and characteristics of the operating environment. The list of significant factors other than technical reliability factors has been expanded. A methodological model of expert assessment is proposed, linked to testing as an information process, which makes it possible to show the practi- cal applicability of theoretical provisions. The results of the study are a generalization for the further forming of a systematic approach to the assessment of information reliability.