Take a Leap to a New Maritime Education and Training Experience

Welcome to a New maritime Education and training Experience

Analytical and Personalized Maritime Training

New pedagogical tool to support teachers and students in maritime simulator training for better knowledge acquisition

Research on Digitalised navigation performance assessment

Using technologies to facilitate effective assessment for learning and feedback

Learn at any time, any where

Learn maritime navigation at any time, any where.

enhanced Maritime pedagogy

Reshaping the way maritime training is conducted from the ground up.

AI-based adaptive learning

Adaptive learning technologies help shape individual learning pathways for students.

Designed for Flexibility and Adaptability

Individually adapted training programmes, remote and on-site.

Horizon Europe R&I project

Integrating Adaptive Learning in Maritime Simulator-Based Education and Training with Intelligent Learning System (I-MASTER)


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 Arctic University of Norway – 180°N

Lead Participant

Task 1.1 – Project management and administration: managing the day-to-day operation of the project according to approved plans, monitoring of the progress, schedule and resources, managing the data according to the FAIR principles of the EU

Task 1.2 – Innovation and societal impact management strategy development: maximizing the impact of the project throughout all stages and ensuring that the required outputs are prepared and delivered to the market in a timely manner

Task 1.3 – Communication and coordination: establishing and implementing a communication plan for the project, ensuring remote communication infrastructure is in place for the secure exchange of project information, results, deliverables, etc.

Task 1.4 – Data Management Plan (DMP), quality assurance and risk management: Implementing procedures for quality management, monitoring, tracking, and controlling deviations and risks throughout the project duration to ensure effective implementation

Lead Participant

Task 2.1 – State-of-the-art review: Analyse the state-of-the-art intelligent learning technologies and provide recommendations regarding the types of AI-enabled learning interventions for i-MASTER

Task 2.2 – Vessel navigation competency mapping: Map out the overall Knowledge, Understanding & Proficiency (KUP) competences for ship navigation from basics to advanced level

Task 2.3 – Performance metrics and KPIs: Define the measurable Key Performance Indicators (KPIs) for each Knowledge, Understanding & Proficiency (KUP) item for ship navigation

Task 2.4 – Measurement methodology specification: Determine the KPI measurement methodology, frequency, and data needs

Lead Participant


Task 3.1 – Training scenarios design and ship simulation trials: Define the scope of training scenarios to be designed for the intelligent learning system for remote and on-site simulation and create the educational objectives and the corresponding performance metrics for each simulation exercise

Task 3.2 – Performance patterns and instructional strategy: Conduct research on the students’ performance patterns with the developed training scenarios, determine the appropriate tutoring or instructional strategy and identify user requirements and needs to develop learning analytics and adaptive learning functions

Task 3.3 – Architecture design of the i-MASTER learning analytics and ILS: Design the architecture for the i-MASTER learning analytics dashboard and ILS by identifying the components, data requirement, their functionalities and interconnections

Task 3.4 – Consolidate KPI and performance metrics for the learning analytics algorithm and the visualization dashboard

Lead Participant


Task 4.1 – Development of the maritime learning analytics algorithms and visualization dashboard

Task 4.2 – Creation of database systems, data integration, configuration, test environment setup

Task 4.3 – Experimental testing for remote/desktop simulation exercises to ensure that data will be processed correctly and reliable output will be produced in the desired format

Task 4.4 – Experimental testing for on-site simulation exercises with full-mission simulators and eye tracking devices

Task 4.5 – Consolidate KPI and performance metrics for the learning analytics algorithm and the visualization dashboard

The Arctic University of Norway – 180°N

Lead Participant

Task 5.1 – Software Development of the Maritime Intelligent Learning System (ILS)

Task 5.2 – Data Analysis and Construction of the Adaptive Learning Functions

Task 5.3 – Data Generation and Improvement of the ML Algorithms

Task 5.4 – Maritime ILS Testable Prototype Establishment and System Integration

Lead Participant


Task 6.1 – Prototype Assessment of the Maritime ILS for Remote / Desktop Simulations

Task 6.2 – Advancement of the Maritime ILS for On-Site Full-Mission Simulator Training

Task 6.3 – Iterative Usability Testing and System Improvement

Task 6.4 – System Functional Verification and Performance Evaluation

Lead Participant


Task 7.1 – Large-Scale Demonstration Programme

Task 7.2 – Experimental Evaluation and Improvement of the Maritime ILS Performance

Task 7.3 – Multi-Dimensional Impact Analysis of the Maritime ILS on the Domain of Maritime Simulator-Based Education and Training

Task 7.4 – Training and Assessment Package with Pedagogical Guideline Regarding the System Capabilities of the Developed AI-Assisted ILS and how it Should be Utilized by the Simulator-Instructors

Full Professor of Socioeconomics of Work (2018-03) | EURAXESS

Lead Participant


Task 8.1 – Communication, Dissemination and Exploitation Strategies for the i-MASTER Project

Task 8.2 – i-MASTER Showcase and Instructor Training Activities

Task 8.3 – EC and EU Dissemination Routes

Task 8.4 – Communication and Dissemination Activities

Task 8.5 – Exploitation and Impact-Maximization Activities


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High-quality professional education is the cornerstone of effective youth transitions into the labour market for the European society. During the pandemic period, the suspension of maritime simulator-based training sessions has led to many challenges with regards to skill development, certification and competency examination.

By accounting for the needs, knowledge gaps and challenges faced by today’s maritime education and training sector, the i-MASTER project has been developed to integrate emerging technologies in maritime education and training to develop an innovative Intelligent Learning System (ILS) with learning analytics and adaptive learning functions to facilitate both remote and on-site maritime simulator-based education and training. The i-MASTER solution will enhance the effectiveness and accessibility of simulator-based education and further improve safety of maritime operations in the future.

Making maritime education more accessible

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