The primary objective of i-MASTER is to develop an Intelligent Learning System (ILS) with maritime learning analytics and adaptive learning function for students engaged in both remote and on-site maritime simulator-based education and training.
The project contributes to the following expected outcomes:
- Enhance the accessibility and effectiveness of training in the vocational education sector by integrating emerging technology with multidisciplinary, intersectoral knowledge, and world-class simulator facilities to create and validate a new approach to training and competence development.
- Increase critical understanding regarding the potential, opportunities, barriers, and accessibility issues of using emerging technologies for teaching and learning in Maritime Education and Training (MET) and support the sector for sustainable digitisation of education and learning in the future.
- Support the current MET systems with an Intelligent Learning System (ILS) that could be used to augment and extend teachers' capabilities and allow for more personalized and flexible ways of learning.
- Prepare guidance and good practice on equipping teachers, instructors, educational leaders, and learners with the skills necessary for the use of ILS technology in a creative, critical, competent, and inclusive manner.
- Mass deployment of ILS technology and ensuring maximum exploitation of the new knowledge produced in the i-MASTER project for future research and development in other vocational education sectors.
To deliver the primary objectives, the following Enabling Objectives (EOs) are formulated:
- EO 1: Analyse the state-of-the-art intelligent and adaptive learning tools and technologies used in various industrial domains and explore the potential, benefits, and constraints of their applications in maritime simulator-based education and training.
- EO 2: Conduct pedagogical planning of the learning pathways and ship navigation competence mapping for students involved in maritime simulator-based education and training to support theoretically informed technology integration.
- EO 3: Determine the data requirements and system architecture of the Intelligent Learning System (ILS) with a clear commercial focus.
- EO 4: Develop testable prototypes of the ILS system with current remote ship simulation technologies to enable remote maritime simulation activities and AI-assisted home-based simulator training.
- EO 5: Extend the ILS system capabilities by integrating the ILS with the information outputs from full-mission ship simulators and eye tracking devices to enable real-time assessment of students’ operational actions and visual attention.
- EO 6: Experimentally evaluate the system performance and effectiveness of the intelligent learning algorithms for student learning and skill acquisition during both remote and physical simulator training activities.
- EO 7: Maximize the potential impact of the innovation for learners, teachers, and education institutions through various impact-maximization activities at national, European, and international arenas.