This article aims to identify the features of using metaphorical cards for the development of students’ social skills studying in university. The methods of research included testing and observation methods that allow to identify the levels of formation of students’ social intelligence structural components effectively; to determine the features of changes in the perception and control of their own and others' emotional and behavioral reactions, as well as the level of development of understanding of emotional expression. The study shows that the technology of using metaphorical cards is one of the leading ways of emotional-psychological, pedagogical and socio-moral influence on the development of structural components of students’ social intelligence. The effectiveness of working with metaphorical cards in developing communicative skills has been shown to be due to the mechanisms involved in different forms of working with metaphor. It is considered that metaphorical cards allow projecting both negative emotional reactions arising in communication onto images, reducing the intensity of their experience, and projecting social images, acting as moral guidelines, onto real situations, using them as models of behavior. It has been found that working with this educational technology helps to develop students' skills in understanding and managing their feelings, emotions and experiences. Practical relevance: The data obtained in this paper can be used in the study of problems related to educational psychology, personality psychology, social psychology and pedagogy. Keywords: educational technology, social skills, student youth.
This article is aimed at identifying the possibility to solve the problem of adequate decoding of the pedagogy language in the format of correlation of religious and logical-and-semantic scientific traditions, which reveals a) similarity of scientific and religious interpretation of texts, on the basis of which pedagogy could adopt the experience of religious interpretative tradition; b) difference between these two types of interpretation, which can be the basis for their correct demarcation in the linguistic and cultural humanitarian field. The study of the problems mentioned has shown that there is a similarity between the classical scholarly humanitarian tradition of interpretation of texts and the religious tradition, which is reflected in the importance of the subject's appeal to the original or secondary text as an object of the cultural field and an intellectual phenomenon, archiving the findings of science or religious conceptualism. The similarity between the scientific and religious traditions of interpretation mentioned above refers to such forms of content interpretation as a) decoding and presentation of the semantics and stylistics of the text to the recipient's mind through a number of images and symbols that are clear to the recipient; b) decoding the essence of the metaphors, synecdoche, periphrasis and metonymy used by the author. The latter can be designated as a segment of experience, appropriate for adoption by scientific pedagogy from religious tradition.
In the situation of global threats and international social and economic pressure on the part of certain countries the development of science becomes very important for Russia and turns into a factor significant both for attaining national goals and effective adaptation to global challenges. In these circumstances the task of making subjects of academic research more acute with due account for national interests and global academic agenda acquires paramount importance. Such methods as qualitative and quantitative analysis, comparison, grouping, ranging and data aggregation were used in the research. The authors on the basis of SciVal data carried out a comparative analysis of subject priorities in academic research in Russian and the world that took into account publication activity indicators, top subject fields and topic clusters, which gave an opportunity to identify specificity of content trends of Russian science in view of global tendencies and find out promising lines of academic research. Sciencemetric tools were widely used for deep and detailed assessment of the most promising trends in academic research.
The research covers the factors that hinder technological development of the electric power complex. The purpose of it is to assess the significance of these factors further to consider while the industrial policies targeting. The research is realized by means of matrix models and mathematical processing of statistical data methods, the ranking, grouping, and comparative analysis incl. The analysis methodology is based on the analysis of the topical publications considering the classical matrix models and metrics of factors impeding the technological development modeling.
The purpose of the study is to predict possible trends in the impact of generative artificial intelligence, in particular ChatGPT technologies, on education. Predictive estimates are formed on the basis of expert discussions of the consequences of using these digital technologies in education, which are currently going on in the public space and in the scientific community. The main groups of expert opinions and scientific approaches are being identified and compared, which makes it possible to present a perspective vision of the processes of integrating generative artificial intelligence into education. Analysis and forecasting are mostly carried out on the example of the practice by using generative artificial intelligence in higher education, however, the main provisions and conclusions can be extrapolated to other levels of education.Materials and methods. In the course of the study, methods of qualitative analysis of expert opinions presented in the public space (in the media, social networks, on the websites of educational organizations and analytical agencies, in public speeches), as well as methods of meaningful analysis of scientific publications, were used. Grouping and classification of expert opinions and scientific approaches were carried out. The analysis also used the results of a sociological study conducted by means of online survey of students from the Plekhanov Russian University of Economics on a sample of more than 3 thousand people. Methods of social forecasting were used to form predictive estimates.Results. The analysis made it possible to conclude that public discourse on employing generative artificial intelligence in education is controversial. Five groups of expert opinions were identified regarding the impact of generative artificial intelligence on education, which differ as to the need for its use in educational organizations and the scope of educational transformations that can occur under its influence. The analysis of scientific discussions showed that scientific community has not finally determined the consequences of the practical impact of generative artificial intelligence on the field of education. At the same time, possible promising areas and problem areas of its use are being identified, as well as its potential to initiate new reforms in education. The following possible trends in the integration of generative artificial intelligence into education are predicted: gradual change in the paradigm of education towards creativity-oriented education; increase of the share and scope of using artificial intelligence technologies in education; formation of new legal and ethical standards governing the use of generative artificial intelligence in education; increasing the importance and changing the role of the lecturer.Conclusions. Generative artificial intelligence has all the potential for solving long-term tasks of developing education. However, rapid technological development is inevitably associated with numerous risks, which require the creation of a methodology for using generative artificial intelligence in education, improvement of regulatory framework and solution of ethical problems. A new qualitative level of integration of a human being and artificial intelligence in the educational sphere is the thing of the future. Such integration will contribute to improving the quality of human capital in line with rapidly developing technologies of 5.0 Industrial Revolution.
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