Keyword: «library and information activities»

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.