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

• Autorzy: Mraković Ivan , Stanovčić Igor , Petrović Igor , Kapetanović Vera , Pudar Dejana

Identyfikatory

DOI

10.12716/1001.19.01.36

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Maritime Education and Training; MET; Bridge Resource Management; BRM; STCW Convention; artificial intelligence; AI; nautical simulator; competency assessment; scenario-based training; training effectiveness

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2025
• Tom: Vol. 19 No. 1
• Strony: 309--315
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Mraković Ivan

• University of Montenegro, Kotor, Montenegro

• https://orcid.org/0000-0001-7807-3558

autor

Stanovčić Igor

• University of Montenegro, Kotor, Montenegro

autor

Petrović Igor

• University of Montenegro, Kotor, Montenegro

autor

Kapetanović Vera

• University of Montenegro, Kotor, Montenegro

autor

Pudar Dejana

• University of Montenegro, Kotor, Montenegro

Bibliografia

• [1] IMO, International Convention on Standards of Training, Certification and Watchkeeping for Seafarers. IMO, 2017.
• [2] T. T. Türkistanli, “Advanced learning methods in maritime education and training: A bibliometric analysis on the digitalization of education and modern trends,” Comput. Appl. Eng. Educ., vol. 32, no. 1, Jan. 2024, doi: 10.1002/cae.22690.
• [3] A. Gundic, D. Zupanovic, L. Grbic, and M. Baric, “Determining Competences in MET of Ship Officers,” TransNav, Int. J. Mar. Navig. Saf. Sea Transp., vol. 15, no. 2, pp. 343–348, 2021, doi: 10.12716/1001.15.02.10.
• [4] V. Pavic, S. Tominac Coslovich, N. Kostovic, and I. MiŁlov, “Current Challenges in Professional Education and Training of Seafarers at Management Levels on Oil Tankers,” TransNav, Int. J. Mar. Navig. Saf. Sea Transp., vol. 17, no. 3, pp. 695–700, 2023, doi: 10.12716/1001.17.03.21.
• [5] M. Saito and T. Takemoto, “Study on Education and Training Methods to Enhance Non-technical Skills of OICNW Using the Psychological Test,” TransNav, Int. J. Mar. Navig. Saf. Sea Transp., vol. 17, no. 1, pp. 121–125, 2023, doi: 10.12716/1001.17.01.12.
• [6] W. Gyldensten, A. C. Wiig, and C. Sellberg, “Maritime Students’ Use and Perspectives of Cloud-Based Desktop Simulators: CSCL and Implications for Educational Design,” TransNav, Int. J. Mar. Navig. Saf. Sea Transp., vol. 17, no. 2, pp. 315–321, 2023, doi: 10.12716/1001.17.02.07.
• [7] M. V. Miyusov, L. L. Nikolaieva, and V. V. Smolets, “Future Perspectives of Immersive Learning in Maritime Education and Training,” Trans. Marit. Sci., vol. 11, no. 2, Oct. 2022, doi: 10.7225/toms.v11.n02.014.
• [8] G. Vukelic, D. Ogrizovic, D. Bernecic, D. Glujic, and G. Vizentin, “Application of VR Technology for Maritime Firefighting and Evacuation Training—A Review,” J. Mar. Sci. Eng., vol. 11, no. 9, p. 1732, Sep. 2023, doi: 10.3390/jmse11091732.
• [9] A. Ujkani, A. Kumar, and R. Grundmann, “Development of Maritime VR Training Applications and Their Use in Simulation Networks: Fast Rescue Boat Training in EMSN Connect,” TransNav, Int. J. Mar. Navig. Saf. Sea Transp., vol. 17, no. 2, pp. 323–329, 2023, doi: 10.12716/1001.17.02.08.
• [10] I. Petrović and S. Vujičić, “Use of Eye-Tracking Technology to Determine Differences Between Perceptual and Actual Navigational Performance,” J. Mar. Sci. Eng., vol. 13, no. 2, p. 247, Jan. 2025, doi: 10.3390/jmse13020247.
• [11] S. Hjellvik and S. Mallam, “Integrating motivated goal achievement in maritime simulator training,” WMU J. Marit. Aff., vol. 22, no. 2, pp. 209–240, Jun. 2023, doi: 10.1007/s13437-023-00309-2.
• [12] I. Bartusevičiene and E. Valionienė, “An Integrative Approach for Digitalization Challenges of the Future Maritime Specialists: A Case Study of the Lithuanian Maritime Academy,” TransNav, Int. J. Mar. Navig. Saf. Sea Transp., vol. 15, no. 2, pp. 349–355, 2021, doi: 10.12716/1001.15.02.11.
• [13] I. Bartusevičienė, M. Kitada, and E. Valionienė, “Rethinking Maritime Education and Training for Generation Z Students,” Reg. Form. Dev. Stud., pp. 16–29, Oct. 2023, doi: 10.15181/rfds.v41i3.2543.
• [14] T. Takimoto, “Case Study of Compare Maritime and Ocean Educational Style for under MET,” TransNav, Int. J. Mar. Navig. Saf. Sea Transp., vol. 15, no. 1, pp. 101–107, 2021, doi: 10.12716/1001.15.01.09.
• [15] A. Sharma, P. E. Undheim, and S. Nazir, “Design and implementation of AI chatbot for COLREGs training,” WMU J. Marit. Aff., vol. 22, no. 1, pp. 107–123, Mar. 2023, doi: 10.1007/s13437-022-00284-0.
• [16] H. M. Tusher, S. Nazir, S. Ghosh, and R. Rusli, “Seeking the Best Practices of Assessment in Maritime Simulator Training,” TransNav, Int. J. Mar. Navig. Saf. Sea Transp., vol. 17, no. 1, pp. 105–114, 2023, doi: 10.12716/1001.17.01.10.
• [17] M. Karahalil, M. Lützhöft, and J. Scanlan, “Formative assessment in maritime simulator-based higher education,” WMU J. Marit. Aff., vol. 22, no. 2, pp. 181–207, Jun. 2023, doi: 10.1007/s13437-023-00313-6.
• [18] C. Sellberg, “Simulators in bridge operations training and assessment: a systematic review and qualitative synthesis,” WMU J. Marit. Aff., vol. 16, no. 2, pp. 247–263, May 2017, doi: 10.1007/s13437-016-0114-8.
• [19] J. Ernstsen and S. Nazir, “Performance assessment in full-scale simulators – A case of maritime pilotage operations,” Saf. Sci., vol. 129, Sep. 2020, doi: 10.1016/j.ssci.2020.104775.
• [20] IMO, Bridge resource management - IMO Model Course 1.22. IMO, 2023.

Uwagi

1. Pełne imiona podano na stronie internetowej czasopisma w "Authors in other databases."

2. Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).