University Library at a New Stage of Social Communications Development. Conference Proceedings

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Artificial Intelligence (AI) for Research Lifecycle: Challenges and Opportunities
(Ukrainian State University of Science and Technologies, Dnipro, 2023) Yaroshenko, Tetyana O.; Iaroshenko, Oleksandra I.
ENG: Objective. This article aims to review the progress of AI technologies concerning their potential impact on academia, research processes, scientific communication, and libraries. Methods. AI tools for research lifecycle and their potential impact on academia and libraries were identified from various sources, mostly from the most influential recent scientific publications. Results. AI has become a driving force nowadays, creating both opportunities and challenges. Transformative AI-powered tools, exemplified by advanced models like ChatGPT, Llama-2, Google Bard, Microsoft Bing, and Jasper Chat, among others, find versatile utility across a broad spectrum of contexts, extending their impact to research process and publishing, as well as to librarianship. The enthusiastic embrace of AI in research is tempered by a pervasive concern over the potential for data fabrication, which can significantly compromise ethical standards and academic integrity. There is an urgent need to understand corresponding opportunities, challenges, and dangers. Some aspects of the use of AI tools for different stages of the research lifecycle are considered, and the main advantages and risks are analyzed. Conclusions. AI has the potential to drive innovation and progress in a wide range of fields and possesses significant potential to propel academia and librarianship into both exhilarating and challenging new frontiers. While AI-powered tools represent major advancements and potential to significantly impact academia, scholarly research, publishing, and university libraries. Privacy and bias are just two examples of the ethical considerations that need to be made.
Capabilities and Apparent Implications of Artificial Intelligence (AI) Adoption in Nigerian Academic Libraries
(Ukrainian State University of Science and Technologies, Dnipro, 2023) Akinola, Samson A.
ENG: Objective. This paper discusses the capabilities and implications of Artificial Intelligence (AI) in Nigerian academic libraries. The study emphasizes the importance of libraries using new technologies to improve their operations and services, especially in developing countries like Nigeria. Methods. The research conducted a literature review to examine the capabilities of AI in libraries and its impact on academic libraries. Results. Various AI tools such as natural language recognition, robotics, big data, and machine learning were identified. AI can revolutionize library services, improve information quality, increase productivity, and provide virtual assistance. However, there are challenges to the adoption of AI in Nigerian academic libraries, including high costs, resistance to change, poor network connectivity, privacy and ethical implications, and a lack of supportive cultures. To fully exploit the benefits of AI, libraries must develop plans and policies, train librarians with the necessary skills, and address the challenges associated with AI adoption. Conclusions. AI holds great advantages to enhancing library services in Nigeria, but careful planning and preparation are needed.
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.
Improving the Inclusive Information Space: Introducing Chatbots into the Work of Academic Libraries
(Ukrainian State University of Science and Technologies, Dnipro, 2024) Shevchuk, Oleksandr A.; Saltykova, Anastasiia A.
ENG: Objective. The purpose of the publication is to study the possibilities of using chatbots as one of the tools for developing an inclusive environment in an academic library. Methods. The study analyzed international experience and software for creating AI-based chatbots. Results. An academic library can use open-source software to create chatbots, but this method will require significant resources. An alternative is commercial services, which are quite easy to use but require monthly funding. Conclusions. Chatbot is a very promising direction for building an inclusive direction, and each library can choose how to create and use it according to its needs.
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.