Exploring the Impact of AI-based Knowledge Management Tools in Higher Education Institutions

Abstract

This study looks at how well AI-based Knowledge Management (KM) tools work in Higher Education Institutions (HEIs). There is a big gap in knowing how these tools affect education. As education technologies change, it is important to understand how these tools help improve learning. We used a survey to gather views from four main groups: administrators, management, students, and teachers. Each group shared how they use and find KM tools helpful. We collected data through structured surveys and used different statistical tests like descriptive statistics, Mann-Whitney U tests, Kruskal-Wallis H tests, and Chi-Square tests to analyze the results. The study showed that AI-based KM tools help HEIs adapt better to global changes and improve remote learning and student motivation. However, the results were mixed on how well these tools improve KM processes and meet industry standards. This shows there is still room for improvement. The findings are important. They suggest that while AI-based KM tools can greatly improve education, their use needs to be carefully planned to meet specific educational needs. This research helps us understand AI in education better and guides HEIs in using KM technologies effectively.