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1 2025

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Pilot Research of AI-Generated Scenarios in Nautical Simulator Training Using ChatGPT Plus

Mraković Ivan, Stanovčić Igor, Petrović Igor, Kapetanović Vera, Pudar Dejana

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2025

Vol. 19 No. 1

309--315

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.