Year: 2025
Type: article
Abstract: This study presents a pilot research into the use of artificial intelligence (AI) for generating training scenarios in nautical simulators, focusing on their potential to support competency-based maritime training. AI-generated scenarios were created using ChatGPT Plus, following the guidelines of IMO Model Course 1.22 and STCW Convention A-II/1. These scenarios were developed by three scenarists with different levels of maritime expertise and subsequently evaluated by five MET experts. The evaluation process incorporated Multi-Criteria Analysis (MCA) and Intraclass Correlation Coefficient (ICC) to assess scenario complexity, assessment methodology, and compliance with maritime training standards. The study explores the strengths and limitations of AI-generated scenarios and considers the role of expert feedback in refining AI-assisted content. The findings contribute to the ongoing discussion on the applicability of AI in maritime education and highlight directions for further research, particularly in validating AI-generated training scenarios in real-world simulator environments.
Authors: Ivan Mrakovic, Igor Stanovčic, Igor Petrovic, Vera Kapetanovic, Dejana Pudar
Institution: University of Montenegro
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $323
OpenAlex ID: W4411818141