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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Pilot Research of AI-Generated Scenarios in Nautical Simulator Training Using ChatGPT Plus
1 University of Montenegro, Kotor, Montenegro
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.
KEYWORDS: Maritime Education and Training (MET), Bridge Resource Management (BRM), STCW Convention, Artificial Intelligence (AI), Nautical Simulator, Competency Assessment, Scenario-based Training, Training Effectiveness
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Citation note:
Mraković I., Stanovčić I., Petrović I., Kapetanović V., Pudar D.: Pilot Research of AI-Generated Scenarios in Nautical Simulator Training Using ChatGPT Plus. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 19, No. 1, doi:10.12716/1001.19.01.36, pp. 309-315, 2025
Authors in other databases:
57208820549
-gIfC6oAAAAJIgor Stanovčić:
Igor Petrović:
Vera Kapetanović:
Dejana Pudar:
Other publications of authors:
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