Innovating NCAAA Accreditation: A Smart Education Management System Powered by Generative Pre-trained Transformer

This study introduces a smart education management system designed to enhance the accreditation processes mandated by the National Commission for Academic Accreditation & Assessment (NCAAA) for postgraduate programs. By leveraging Generative Pre-trained Transformer (GPT) models, the system efficiently generates comprehensive course reports and dynamic assessment questions, aligning them with the cognitive levels defined in Bloom's Taxonomy. Automating these critical but labor-intensive tasks significantly improves the efficiency of accreditation processes in academic settings. Initial testing within the Computer Science Department at King Abdulaziz University (KAU) demonstrated the system's robustness and scalability, indicating its potential for broader application across universities. The integration of Artificial Intelligence (AI) not only streamlines administrative processes but also improves the quality of educational assessments through alignment with Bloom's Taxonomy. This study emphasizes the transformative potential of AI in educational accreditation, setting a new benchmark for future research and development in integrating AI technologies for smart education management systems.