MODERN TRENDS IN THE PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN LIBRARY, INFORMATION, AND ARCHIVAL STUDIES IN HIGHER TECHNICAL EDUCATION INSTITUTIONS

Abstrakt

The article provides a comprehensive analysis of current trends in the modernization of professional training of future specialists in library, information and archival science in higher technical education institutions in the context of digital transformation and intensive development of artificial intelligence. It substantiates the need to move beyond traditional teaching approaches and adopt competency-based, interdisciplinary, and technology-integrated educational models. The study examines digitalization as a key driver of educational renewal, emphasizing the active use of specialized software, automated information management systems, and big data analysis methods. The importance of legal aspects in information management ‒ particularly personal data protection, electronic document management, and copyright compliance ‒  is also highlighted. The study also includes the experience of foreign experts-trendsetters in the professional training of future specialists in library and information science and analysis of the recommendations of the International Federation of Library Associations and Institutions (IFLA) on the content of the curricula of future specialists in library and information science to form modern and competitive employees in LIS. Special attention is given to the practical orientation of training, which is implemented through internships, project-based learning, and dual education models that allow students to integrate theoretical knowledge with hands-on professional experience. The author underscores the necessity of aligning national educational programs with European standards to enhance graduates' competitiveness in the international labor market. The study concludes that effective training for information professionals must be dynamic, adaptive, and continuous to keep pace with rapid technological advancements. The author suggests directions for further research, including the integration of artificial intelligence into education, the expansion of digital analytics tools, and the optimization of methods for bridging education with professional practice.