ARTIFICIAL INTELLIGENCE-DRIVEN LIBRARY AND EDUCATIONAL ADMINISTRATION AS CORRELATES OF INFORMATION ACCESS, RESEARCH SUPPORT AND EVIDENCE-BASED ADMINISTRATIVE DECISION-MAKING IN PUBLIC UNIVERSITIES IN LAGOS STATE

Abstract

Issues that have persisted in educational administration include poor access to information, lack of decision support systems and the absence of advanced technologies for use in the libraries. All these issues have hindered evidence-based administrative decision making at Nigerian public universities. This research aimed at finding out the relationship between artificial intelligence driven library information access, artificial intelligence driven library research support and evidence-based administrative decision making. Two research questions and two null hypotheses were formulated to guide the study. Descriptive Correlational Survey Research Design was used. The target population of the study consisted all the academic staff, library staff and university administrators from four Nigerian public universities in Lagos State. From each institution, 60 respondents, made up of 50 academic staff, 5 library staff and 5 university administrators, totalling 240 respondents, were selected through Stratified Random Sampling technique. Mean and standard deviation were employed in the analysis of data in order to answer the research questions posed, while the hypotheses were tested using the Pearson Product Moment Correlation technique at the 0.05 level of significance. The results obtained indicated that there were positive significant relationships between AI-driven library information access and evidence-based administrative decision making (r=0.572, p<0.05) and between AI-driven library research support and evidence-based administrative decision making (r=0.622, p<0.05). The study concluded that AI-driven library services facilitate information access, enhance research support and encourage evidence-based administrative decision making.