No 10 (UniLibNSD)

Permanent URI for this collectionhttps://crust.ust.edu.ua/handle/123456789/21428

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Digital Tools of the Academic Library: Automation of Publication Activity Monitoring
(Ukrainian State University of Science and Technologies, Dnipro, 2025) Shevchuk, Oleksandr A.; Saltykova, Anastasiia A.
ENG: Objective. This publication studies the potential for using artificial intelligence and open APIs (Application Programming Interface) to automate publication activity monitoring. Methods. This study analyzes and experimentally tests the capabilities of open APIs and artificial intelligence in automating bibliographic data monitoring and processing. Results. The authors tested the potential of artificial intelligence to create an automated application that processes large volumes of bibliographic data, generates accurate bibliographic descriptions, and exports them in a tabular format. Conclusions. The developed prototype demonstrates that, when combined with open APIs, artificial intelligence can effectively automate the creation of bibliographic descriptions and the processing of publication data in academic libraries.
Integration of Information Literacy Training across University
(Ukrainian State University of Science and Technologies, Dnipro, 2025) Tautkeviciene, Gintare; Augustiniene, Aldona
ENG: Objective. The purpose of this article is to present information literacy integration into university curriculum at all levels and to provide insights into how artificial intelligence is changing information retrieval and information behaviour. Methods. The methodology used in this article was a case study. As a case analysed Kaunas University of Technology information literacy integration into all study levels. The literature review, analysis of documents, and results of students' surveys were used as methods to collect data and gain a more in-depth understanding of certain issues of a targeted group of individuals. Results. The library plays a key role in supporting the development of information literacy at all levels of study. In order to strengthen collaboration with academics and assist students in developing information literacy skills, new positions were established in the library, such as subject librarians and data librarians. Information literacy (IL) training is fully integrated into all levels of study. Bachelor and master’s students receive six hours of compulsory IL training, while doctoral students take an optional course in Research Data Management (RDM). University students, researchers, and academic staff can improve their information literacy skills by participating in stand-alone training courses provided by the library. The library also offers Moodle-based self-paced courses in Lithuanian and English, as well as training on artificial intelligence tools and ethical information use. Students rate the training courses high value and very high value the competence of librarians in delivering training and providing assistance on various information literacy issues. Conclusions. Integration of information literacy training across all levels of university study programmes is essential to prepare students for academic and professional success in an information-rich society. Libraries play a key role as educators, facilitators, partners, and resource providers in this endeavour. A disciplinary and developmental approach ensures that IL skills are relevant, meaningful, and effectively embedded within the curriculum. The content and scope of information literacy education must be improved in line with the emergence and development of information technology and artificial intelligence. By adopting strategic, collaborative, and innovative practices, universities can cultivate a culture of information competence that benefits students throughout their academic journey and beyond.