Keyword: «digital space of scientific knowledge»

The digital transformation of education involves the design of personal learning trajectories based on innovative technologies, and the expansion of the infrastructure of educational institutions. The relevance of this research is due to the fact that the development and application of electronic library systems at the university is one of the conditions for the formation of a unified digital space of scientific knowledge. The purpose of the study is to explore the potential of using an electronic interuniversity library system to improve the quality of training graduate students at institutes of culture. The leading methodological approaches on which the author relies are the systemic activity-oriented approach, the analysis of scientific sources, as well as elements of modeling information systems. 180 graduate students of universities participating in the collaboration were involved in the study. 80 students study at the Orel State Institute of Culture in the area of training 51.04.06 “Library and Information Activities”, specialization – "Organizational and managerial technologies of library and information activities". 100 students are from the Moscow State Institute of Culture, training specialization - "Theory and methodology of library and information management". Scientific novelty: the potential of using the electronic interuniversity system for training in-demand library specialists is substantiated. The obtained results are the basis for improving the functioning of the interuniversity electronic library system (both from the point of view of administration and at the level of education management). Theoretical significance: the identified potentials of using an electronic system to support the activities of participating universities are clarified in relation to the training of professionals in information processing in the digital space of scientific knowledge. Practical significance: the factors influencing the effectiveness of the use of an electronic interuniversity system to improve the quality of training of graduate student librarians have been identified. These are increased influence of immersive technologies, management automation programs on the labor market, students' experience in constructing search queries, characteristics of readers' interests, digital literacy. In conclusion, the specific features of using the electronic library are formulated: the availability of tools for developing information searching skills, the ability to analyze and critically evaluate the results of queries; increasing the range of information interactions; providing access to additional funds and publications.

The modernization of higher education opens up the prospects of using artificial intelligence to train librarians. Information interaction supported by generative content services has the potential to develop soft skills (time management, adaptability, digital literacy, critical and systems thinking) and improve the quality of librarian training. The aim of the study is to identify the peculiarities of the use of generative neural networks in teaching students of the training area 03.51.06 Library and information activities for the development of their systems thinking. The leading approach is to model library and information service situations in the digital space of scientific knowledge. The adapted methodology of A. V. Panov and M. A. Fedorova is used to assess the level of systems thinking. 84 students of the Library, Information and Museum Activities Faculty of the Orel State Institute of Culture participate in the experimental work. Scientific novelty: the potential of using generative neural networks for the development of students' systems thinking is substantiated. The results present the ideas of a methodological approach aimed at strengthening the influence of the identified factors for the development of students' systems thinking: a combination of theory and practice of interaction; interrelation with the study of other digital technologies; informing about the risks and ethical issues of including artificial intelligence in educational and work activities, followed by a discussion of these aspects at the stage of reflection. Theoretical significance – the identified didactic capabilities of generative content services are clarified in relation to the preparation of students in the area of training 03.51.06 Library and information activities. Practical significance – the factors influencing the effectiveness of generative neural networks use for the development of systems thinking in preservice librarians have been identified: working with Internet resources, virtual manipulation, creating complex objects from the simplest functional elements. The results obtained are the basis for improving librarian training programs in the context of the digital scientific knowledge space formation. In conclusion, the authors formulate characteristics of neural networks use for the development of systems thinking: creating conditions for understanding the social importance of the profession, developing creative attitude to work, mastering scientific and critical activities; considering the problems of libraries.