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 article outlines the experience of developing and implementing an adaptive digital course on the example of the discipline “Business English” for master’s students at a technical university in a blended learning for- mat. The research is driven by the limited class-hour load, the heterogeneity of students’ language proficiency levels, and the decreasing motivation among master’s students in technical fields to learn a foreign language. A structured model of the course was developed on the Moodle platform using the interactive tools of H5P. Testing of the course on a pilot group of master’s students revealed an increase in engagement, greater independence among learners, and a significant improvement in final test results among students who actively interacted with the digital content. The data obtained confirm the effectiveness of the proposed model in compensating for the lack of classroom time, improving the quality of language training, and developing business communication competencies that meet the requirements of the educational program. The presented experience can serve as a methodological foundation for the development of similar digital courses in engineering universities and contributes to the advancement of theoretical and practical approaches to the digitalization of language education in higher education.

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 article is devoted to the study of a new type of ontology “information spatial ontology”. The article intro- duces the concept of “information ontology” and substantiates the concept of “information spatial ontology” as a kind of epistemic ontology. The ontological transformation is highlighted as a class of procedures for the transformation of information into knowledge. The role of electronic maps as visual models of knowledge (and not just data) is substantiated. The article shows that obtaining an information ontology is possible on the basis of information morphism, ontological information search and semantic correspondence. A generalization is made that all procedures for obtaining ontologies can be called an ontological transformation. In terms of set theory, a conceptual model of the forming of spatial information ontology using spatial information is presented, which defines the principles of building an ontology based on logical consistency. The results obtained expand the methodological foundations of ontological modeling and the scope of application of information spatial ontology in research related to the analysis of complex spatial systems and digital control.

Annotation: The article describes the problem of task selection and distribution among executors in the context of software pro- jects using Scrum methodology. The solution to this problem is proposed by reducing it to the problem of multiple knapsacks and solving it using population algorithms, in particular, the ensemble of genetic algorithm and bacte- rial chemotaxis algorithm. The article presents a model for calculating the priority of a task and its execution time for a particular performer. Classes of input data are described. The main stages of the algorithms and the values of their tuning parameters are explained. A metric for evaluating the quality of the results of the proposed method has been developed. The set of algorithms parameters, at which the quality index will be high for most classes of input data, is defined. The comparison of the operating time of the software implementation of the algorithms and their combinations, as well as the quality of the obtained calculation results, is given. Conclusions are drawn about the applicability of the ensemble algorithms to the selected classes of input data. The results of the study show the effectiveness of using the developed method for distributing work in comparison with its individual algorithms.