The primary objective of i-MASTER is to study and 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 ambitious i-Master research project focuses on these objectives:
- Analyse the state-of-the-art intelligent and adaptive learning tools and technologies used in various industrial domains and explore the potentials, benefits, and constraints of their applications in the maritime simulator-based education and training.
- 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.
- Determine the data requirements and system architecture of the Intelligent Learning System (ILS) with a clear commercial focus.
- Develop testable prototypes of the ILS system with the current remote ship simulation technologies to enable remote maritime simulation activities and AI-assisted home-based simulator training.
- Extend the ILS system capabilities by integrating the ILS with the information outputs from the full-mission ship simulators and eye tracking devices to enable real-time assessment of student’s operational actions and visual attention.
- 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.
- Maximize the potential impact of the innovation for learners, teachers, and education institutions through various impact-maximization activities at national, European, and international arenas.
Role of the CML in iMaster:
Among other things, the Fraunhofer CML is developing the interactive dashboard that reflects the learning information.
University of Tromsø – The Arctic University of Norway (UiT), University of Gothenburg (UGOT), TERP AS (Norway), Vienna University of Economics and Business (WU), Swedish National Road and Transport Research Institute (VTI), Novia University of Applied Sciences, University of South-Eastern Norway (USN) and Fraunhofer CML.
The project runs from September 2022 to August 2026 and is funded by the EU in the Horizon 2020 program with around 3.3 million euros.