Abstract
This study focuses on developing an AI-powered adaptive learning platform to personalize Continuing Professional Development (CPD) for nurses at the Rivers State University Teaching Hospital (RSUTH) in Port Harcourt. The problem is exacerbated by limited resources, high workloads, and the diverse specializations within nursing at RSUTH. This study employs a mixed-methods research design, integrating both quantitative and qualitative data collection strategies. A sample of 250 nurses and 15 nurse educators will be selected using stratified and purposive sampling techniques. Data will be gathered through structured questionnaires and semi-structured interviews. Quantitative data from the questionnaires will be analyzed using descriptive statistics, specifically mean scores, to assess perceptions and identify trends. Qualitative data from interviews will undergo thematic analysis to extract deeper insights into experiences and needs. The study is anchored on the Technology Acceptance Model (TAM) as its theoretical framework, which guides the understanding of how perceived usefulness and perceived ease of use influence the adoption of the proposed AI platform. Findings are anticipated to reveal a significant gap in current CPD delivery and a strong readiness for a technology-enhanced, personalized learning solution. The study concludes that a tailored AI-driven platform can revolutionize CPD for nurses, leading to improved learning outcomes, enhanced clinical performance, and better patient care. Recommendations include the collaborative design of the platform with end-users, institutional support for implementation, and ongoing evaluation of its impact on nursing practice and patient safety indicators.
Keywords: Artificial Intelligence, Adaptive Learning, Continuing Professional Development, Personalized Learning, Rivers State University Teaching Hospital