About the project
The i-MASTER project addresses critical challenges in maritime education and training (MET) by integrating emerging technologies to enhance simulator-based learning. With the maritime industry relying on skilled manpower, ensuring high-quality training is vital for safe and efficient navigation operations. i-MASTER is working to leverage Artificial Intelligence (AI) and maritime learning analytics to develop an Intelligent Learning System (ILS) with adaptive learning functionalities.This innovative solution supports both remote and on-site training, providing a personalized, effective, and accessible learning environment. By modernizing MET, i-MASTER ensures a competent maritime workforce, strengthens operational performance, and advances the safety and sustainability of future maritime operations.
Project goal
The primary objective of the i-MASTER project is to study and develop an Intelligent Learning System (ILS) that integrates advanced maritime learning analytics and adaptive learning functionalities for students engaged in both remote and on-site maritime simulator-based education and training. By utilizing state-of-the-art machine learning techniques, i-MASTER creates a personalized learning environment that adapts to individual students’ skills and progress.i-MASTER aims to enhance Maritime Education and Training (MET) through:
· Digitalized navigation performance assessment
· AI-enabled intelligent learning for both desktop and full-bridge simulator training.
By combining AI with educational science and maritime expertise, i-MASTER seeks to deliver an automated, analytical, and adaptive training solution tailored to individual learning needs. This approach improves the quality, efficiency, and accessibility of maritime training, enabling a wider range of learners to benefit from advanced educational technologies
UN's Sustainable Development Goals
Franklin Nyairo
Projektledare