AI Powered Personalized Learning among Civil Servants in Anambra State

Abstract

This study explores the utilization and perspectives on AI-powered personalized learning among civil servants in selected local governments in Anambra State, Nigeria. As artificial intelligence (AI) continues to transform various sectors, its integration into public sector training presents both opportunities and challenges. Traditional training methods often fail to meet the diverse learning needs of employees, leading to disengagement and knowledge gaps. This research investigates the current level of adoption of AI-driven personalized learning technologies, the perceived effectiveness by civil servants, and the factors influencing these views. A structured questionnaire was administered to public personnel to gather quantitative data. Findings indicate that while there is some engagement with computer-based training, the adoption of AI-specific learning tools is limited. Perceptions of effectiveness are largely negative, with concerns about job relevance and institutional support. Challenges such as data privacy and technology access further hinder implementation. The study highlights the need for a strategic approach to enhance the adoption and effectiveness of AI-driven personalized learning, ultimately aiming to foster a more competent public workforce capable of meeting contemporary governance challenges.