Utilizing Artificial Intelligence Tools to Enhance Sustainable Library and Information Science Teaching Practices among Library and Information Science Educators in Federal University of Technology, Minna”

Abstract

This study investigated the integration of AI tools to improve sustainable teaching practices among Library and Information Science (LIS) educators at Federal University of Technology (FUT), Minna. To carry out this research, purposive sampling was used to gather the necessary data. Four research questions were formulated for the study. Total enumeration was used to adopt the total population of Twenty (20) LIS academic staff in FUT, Minna. A close ended electronic questionnaire was developed which was used to collect data for this study to assess the effectiveness of AI tools in enhancing instructional methods, resource management, and student engagement. The data gathered from the questionnaire were analyzed using descriptive statistics of percentages and charts. Data collected from LIS faculty members reveals that AI tools significantly contribute to the optimization of course delivery, personalized learning experiences, and efficient resource allocation. The findings underscore the potential of AI technologies to support sustainable teaching practices, addressing both pedagogical and environmental concerns in higher education. This research provides actionable insights for LIS educators seeking to adopt AI-driven strategies for advancing teaching practices in alignment with sustainable development goals.