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Deniz Kazalarının Önlenmesi: Denizcilik Eğitiminde Simülatör Senaryosu Oluşturma

Yıl 2025, Cilt: 4 Sayı: 8, 1 - 25, 30.12.2025
https://doi.org/10.5281/zenodo.18089325

Öz

Tübitak 2209-A projesi destekli bu çalışma, denizcilik eğitiminde köprüüstü simülatörlerinin kullanımı için COLREG (Çatışmayı Önleme Tüzüğü) kuralları temelli standart bir senaryo geliştirmeyi ve bu senaryonun eğitim etkinliğini değerlendirmeyi amaçlamaktadır. Araştırma, Ege Üniversitesi Urla Denizcilik Meslek Yüksekokulu’nda 54 öğrencinin katılımıyla gerçekleştirilmiş; değerlendirmeler Kirkpatrick eğitim modeli temelinde yapılmıştır. Elde edilen bulgulara göre, katılımcıların eğitime yönelik memnuniyet düzeyi oldukça yüksektir (Cronbach α = 0,931). Anket sonuçlarında katılımcıların %90’dan fazlası eğitimi “iyi” ve “çok iyi” olarak değerlendirmiş, eğitmenin uzmanlığı 4,91 ± 0,29 ortalama ile en yüksek puanı almıştır. Öğrenme algısına ilişkin değerlendirmelerde en yüksek puanlar Kural 8 (Çatışmadan Kaçınma) (8,88 ± 1,29) ve Kural 5 (Gözcülük) (8,39 ± 1,46) olurken; en düşük puan Kural 18 (Tekneler Arası Sorumluluk) (6,82 ± 2,01) ve Kural 19 (Kısıtlı Görüş) (7,52 ± 2,08) olarak saptanmıştır. Davranış değerlendirmelerinde ise en yüksek başarı oranı Kural 17 (%100), en düşük başarı ise Kural 19 (%24,1)’da gözlenmiştir. Sonuçlar, standartlaştırılmış simülatör senaryolarının denizcilik öğrencilerinde hem öğrenme motivasyonunu artırdığını hem de kurallara uyum davranışlarını geliştirdiğini göstermektedir. Ayrıca, eğitim sırasında belirlenen güçlü ve zayıf alanların, denizcilik eğitim programlarının geliştirilmesi için yol gösterici olacağı anlaşılmaktadır. Çalışma, simülatör senaryolarının denizde emniyet, insan hatalarının azaltılması ve eğitimde kalite standartlarının yükseltilmesi açısından kritik öneme sahip olduğunu ortaya koymaktadır

Etik Beyan

Bu çalışmanın, özgün bir çalışma olduğunu; çalışmanın hazırlık, veri toplama, analiz ve bilgilerin sunumu olmak üzere tüm aşamalarından bilimsel etik ilke ve kurallarına uygun davrandığımı; bu çalışma kapsamında elde edilmeyen tüm veri ve bilgiler için kaynak gösterdiğimi ve bu kaynaklara kaynakçada yer verdiğimi; kullanılan verilerde herhangi bir değişiklik yapmadığımı, çalışmanın Committee on Publication Ethics (COPE)' in tüm şartlarını ve koşullarını kabul ederek etik görev ve sorumluluklara riayet ettiğimi beyan ederim. Herhangi bir zamanda, çalışmayla ilgili yaptığım bu beyana aykırı bir durumun saptanması durumunda, ortaya çıkacak tüm ahlaki ve hukuki sonuçlara razı olduğumu bildiririm.

Destekleyen Kurum

EGE ÜNİVERSİTESİ FEN VE MÜHENDİSLİK BİLİMLERİ BİLİMSEL ARAŞTIRMA VE YAYIN ETİĞİ KURULU

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Preventing Maritime Accidents: Scenario Development in Maritime Simulation Training

Yıl 2025, Cilt: 4 Sayı: 8, 1 - 25, 30.12.2025
https://doi.org/10.5281/zenodo.18089325

Öz

This study, supported by the TÜBİTAK 2209-A project, aims to develop a standardized scenario based on the COLREG (International Regulations for Preventing Collisions at Sea) rules for the use of bridge simulators in maritime education and to evaluate the effectiveness of this scenario in training. The research was conducted with the participation of 54 students at Ege University Urla Maritime Vocational School, and the evaluations were carried out using the Kirkpatrick training evaluation model. According to the findings, participants’ satisfaction with the training was remarkably high (Cronbach’s α = 0.931). More than 90% of the participants evaluated the training as “good” or “very good,” and the instructor’s expertise received the highest score with a mean of 4.91 ± 0.29. In terms of learning perception, the highest scores were observed for Rule 8 (Action to Avoid Collision) (8.88 ± 1.29) and Rule 5 (Lookout) (8.39 ± 1.46), while the lowest scores were found in Rule 18 (Responsibilities Between Vessels) (6.82 ± 2.01) and Rule 19 (Conduct of Vessels in Restricted Visibility) (7.52 ± 2.08). In the behavioral evaluation, the highest success rate was recorded for Rule 17 (100%), whereas the lowest success rate was observed in Rule 19 (24.1%). The results indicate that standardized simulator scenarios not only increase learning motivation but also improve rule compliance behaviors among maritime students. Furthermore, the identification of strengths and weaknesses during training provides valuable guidance for the development of maritime education programs. This study demonstrates that simulator scenarios are of critical importance for maritime safety, the reduction of human errors, and the enhancement of quality standards in education.

Etik Beyan

I hereby declare that this study is an original work. I affirm that I have fully complied with scientific ethical principles and standards throughout all stages of the study, including preparation, data collection, analysis, and presentation of information. I further declare that all data and information not obtained within the scope of this study have been properly cited and duly listed in the references, that no modifications have been made to the data used, and that I have accepted all terms and conditions of the Committee on Publication Ethics (COPE), strictly adhering to the associated ethical duties and responsibilities. I acknowledge and accept that, should any circumstances contrary to this declaration be identified at any time, I will bear full responsibility for all ensuing ethical and legal consequences

Destekleyen Kurum

Ege University Scientific Research and Publication Ethics Committee of Science and Engineering

Kaynakça

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  • Hsu, H. Z., Witt, N. A., Hooper, J. B. ve Mcdermott, A. P. (2009). The AIS-Assisted Collision Avoidance. Journal of Navigation, 62(4), 657–670. https://doi.org/10.1017/S0373463309990099
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  • Jayarathne, B. N., Ranmuthugala, D., Chai, S. ve Fei, J. (2015). Accuracy of Potential Flow Methods to Solve Real-time Ship-Tug Interaction Effects within Ship Handling Simulators. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 8(4), 497– 504. https://doi.org/10.12716/1001.08.04.03
  • Jensen, S., Lützen, M., Mikkelsen, L. L., Rasmussen, H. B., Pedersen, P. V. ve Schamby, P. (2018). Energy-Efficient Operational Training in a Ship Bridge Simulator. Journal of Cleaner Production, 171, 175–183. https://doi.org/10.1016/j.jclepro.2017.10.026
  • Kazerooni, M. F., Rahimian, M., Tree, M., Womersley, T. ve Jensen, B. (2023). Development and Validation of an Operational Fast Time Ship Manoeuvring Solver to Increase Navigation Efficiency in Horizontally Restricted Waterways. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 17, 71-76.
  • Kim, J.-K. ve Park, D.-J. (2023). Determining the Proper Times and Sufficient Actions for the Collision Avoidance of Navigator-Centered Ships in the Open Sea Using Artificial Neural Networks. Journal of Marine Science and Engineering, 11(7), 1384. https://doi.org/10.3390/jmse11071384
  • Kim, T. E., Sharma, A., Bustgaard, M., Gyldensten, W. C., Nymoen, O. K., Tusher, H. M. ve Nazir, S. (2021). The Continuum of Simulator-Based Maritime Training and Education. WMU Journal of Maritime Affairs, 20(2), 135-150.
  • Kirkpatrick, D. L. ve Kirkpatrick, J. D. (2006). Evaluating training programs: The four levels. Berrett-Koehler Publishers.
  • Kitamura, K., Murai, K., Wakida, S., Miyado, T., Fukushi, K. ve Hayashi, Y. (2013). Basic study of a ship navigator’s mental workload using salivary NO. IEEJ Transactions on Electrical and Electronic Engineering, 8(3), 301–302. https://doi.org/10.1002/tee.21856
  • Kruger, J., Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77(6), 1121–1134. https://doi.org/10.1037/0022-3514.77.6.1121
  • Kunieda, Y., Yabuki, H. ve Okazaki, T. (2015). Emergency Unberthing without Tug Assistance. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 9(3), 367–374. https://doi.org/10.12716/1001.09.03.09
  • Last, P., Kroker, M. ve Linsen, L. (2017). Generating Real-Time Objects for a Bridge Ship-Handling Simulator Based on Automatic İdentification System Data. Simulation Modelling Practice and Theory, 72, 69–87. https://doi.org/10.1016/j.simpat.2016.12.011
  • Luo, M., & Shin, S. H. (2019). Half-century Research Developments in Maritime Accidents: Future Directions. Accident Analysis & Prevention, 123, 448-460.
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  • Morter, P. (2015). Safety First: How Simulating Marine Collisions Can Lead to a Safer Operating Future. Marine Log ProQuest, 6(120), 39.
  • Murai, K. ve Hayashi, Y. (2010). Toward Evaluation of a Student’s Simulator Training Using Heart Rate Variability. IEEJ Transactions on Electrical and Electronic Engineering, 5(3), 375-377. https://doi.org/10.1002/tee.20545
  • Murai, K., Ishikura, A. Y., Hayashi, Y., Matsumoto, T., Kuramoto, K., Higuchi, K., Saiki, T., Takayuki, F. ve Maenaka, K. (2010). Toward Evaluation of Ship Bridge Teamwork for Marine Simulator Training Based on Heart Rate Variability. Science And Technology, 2-7.
  • Nabilah, S., Juniarahman, N. ve Purnomo, P. (2023). Eksplikasi Kirkpatrick Level 1 Dan 2 Pada Pelatihan Jarak Jauh Di Balai Diklat Keagamaan Bandung. Tatar Pasundan: Jurnal Diklat Keagamaan, 17(2). https://doi.org/10.38075/tp.v17i2.320
  • Nafukho, F., Irby, B., Pashmforoosh, R., Lara-Alecio, R., Tong, F., Lockhart, M., Mansour, W., Tang, S., Etchells, M. ve Wang, Z. (2022). Training Design in Mediating the Relationship of Participants’ Motivation, Work Environment, and Transfer of Learning. European Journal of Training and Development, 47(10), 112-132. https://doi.org/10.1108/ejtd-06-2022-0070
  • Nilsson, R., Gärling, T. ve Lützhöft, M. (2009). An Experimental Simulation Study of Advanced Decision Support System for Ship Navigation. Transportation Research Part F: Traffic Psychology and Behaviour, 12(3), 188-197. https://doi.org/10.1016/j.trf.2008.12.005
  • Nooramin, A. ve Parsa, J. (2010). Analysis of Violations of Safety Requirements Established by the International Maritime Regulations. Journal of Oceanography, 1(3), 21-28.
  • Olindersson, F., Bruhn, W., Scheidweiler, T. ve Andersson, A. (2017). Developing a Maritime Safety Index Using Fuzzy Logics. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 11(3), 469-475. https://doi.org/10.12716/1001.11.03.12
  • Orlandi, L. ve Brooks, B. (2018). Measuring Mental Workload and Physiological Reactions in Marine Pilots: Building Bridges Towards Redlines of Performance. Applied Ergonomics, 69, 74-92. https://doi.org/10.1016/j.apergo.2018.01.005
  • Paolo, F., Gianfranco, F., Luca, F., Marco, M., Andrea, M., Francesco, M., Vittorio, P., Mattia P. and Patrizia, S. (2021). Investigating the Role of the Human Element in Maritime Accidentsusing Semi‐Supervised Hierarchical Methods. Transp. Res. Proc. 52, 252-259.
  • Pitana, T., Pramudhita, M. T., Siswantoro, N. ve Napitupulu, J. R. C. (2023). Application of Virtual Reality as an Alternative Training Media as Complement of Ship Bridge Simulator (Case Study: Port of Tanjung Emas Semarang). IOP Conference Series: Earth and Environmental Science, 1166(1). IOP Publishing.
  • Pourzanjani, M. (2001). Analysis of Human Error in Co-Ordinating Ship's Collision Avoidance Action. ICCGS 2001: 2nd international conference on collision and grounding of ships (Copenhagen, 1-3 July 2001, preprints), 85-91.
  • Porathe, T. (2016). Human-Centred Design in the Maritime Domain. 12th Biennial Norddesign 2016 Conference “Highlighting the Nordic Approach”, NordDesign.
  • Roberts, S. E., Nielsen, D., Kotłowski, A. and Jaremin, B., (2014). Fatal Accidents and Injuries among Merchant Seafarers Worldwide, Occup. Med. 64(4), 259-266.
  • Ronca, V., Uflaz, E., Turan, O., Bantan, H., MacKinnon, S. N., Lommi, A., ... ve Borghini, G. (2023). Neurophysiological Assessment of An Innovative Maritime Safety System in Terms of Ship Operators’ Mental Workload, Stress, and Attention in the Full Mission Bridge Simulator. Brain Sciences, 13(9), 1319.
  • Saeed, F., Bury, A., Bonsall, S. ve Riahi, R. (2018). A Proposed Evidential Reasoning (ER) Methodology for Quantitative Assessment of Non-Technical Skills (NTS) Amongst Merchant Navy Deck Officers in a Ship’s Bridge Simulator Environment. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 12(3), 597-608. https://doi.org/10.12716/1001.12.03.20
  • Saville, J. ve Foster, L. (2021). Does technology self-efficacy influence the effect of training presentation mode on training self-efficacy?. Computers in Human Behavior Reports, 4, 100124. https://doi.org/10.1016/j.chbr.2021.100124
  • Sellberg, C. (2018). From Briefing, Through Scenario, to Debriefing: the Maritime Instructor’s Work During Simulator-Based Training. Cognition, Technology and Work, 20(1), 49–62. https://doi.org/10.1007/s10111-017-0446-y
  • Sellberg, C. ve Lundin, M. (2017). Demonstrating Professional Intersubjectivity: The Instructor’s Work in Simulator-Based Learning Environments. Learning, Culture and Social Interaction, 13, 60–74. https://doi.org/10.1016/j.lcsi.2017.02.003
  • Sellberg, C. ve Lundin, M. (2018). Tasks and Instructions on the Simulated Bridge: Discourses of Temporality in Maritime Training. Discourse Studies, 20(2), 289–305.
  • Siswantoro, N., Haryanto, D., Hikmahwan, M. A. ve Pitana, T. (2023). Implementation of Metaverse for Modeling the Ship Bridge Simulator Based on Virtual Reality as Educational Purposes, Case Study: Tanjung Priok Port Area. In IOP Conference Series: Earth and Environmental Science, 1166(1), 012053. IOP Publishing.
  • Șerban, P. S. (2015). Case Study of Ship Squat in Sulina Channel Using NTPRO 5000 Navigational Simulator. Applied Mechanics and Materials, 809–810, 1193–1198. https://doi.org/10.4028/www.scientific.net/AMM.809-810.1193
  • Susanty, Y. (2022). Evaluasi Program Pengembangan Kompetensi Berdasarkan Model Evaluasi Kirkpatrick Level 1 dan Level 2. Jurnal Administrasi Publik, XVIII(2), 172-191. https://doi.org/10.52316/jap.v18i2.111
  • Tracey, J., Tannenbaum, S., Kavanagh, M., Alliger, G., Mathieu, J., Stoddard, L., Thayer, P. ve Yukl, G. (1995). Applying Trained Skills on the Job: The Importance of the Work Environment. Journal of Applied Psychology, 80(2), 239-252. https://doi.org/10.1037/0021-9010.80.2.239
  • Taggart, K., Kennedy, M., O’Connor, S. ve Van Gilder, D. (2024). Using the Kirkpatrick Model to Evaluate a Sepsis Escape Room for Advanced Pharmacy Learners. Currents in Pharmacy Teaching & Learning, 16(5), 352-362. https://doi.org/10.1016/j.cptl.2024.02.004
  • Trodden, D. G. ve Haroutunian, M. (2018). Effects of Ship Manoeuvring Motion on NOX formation. Ocean Engineering, 150(X), 234–242. https://doi.org/10.1016/j.oceaneng.2017.12.046
  • Türkistanli, T. T. ve Kuleyin, B. (2022). Game‐Based Learning for Better Decision‐Making: A Collision Prevention Training for Maritime Transportation Engineering Students. Computer Applications in Engineering Education, 30(3), 917-933.
  • Uğurlu, Ö., Köse, E., Yıldırım, U. ve Yüksekyıldız, E. (2015). Marine Accident Analysis for Collision and Grounding in Oil Tanker Using FTA Method, Marit. Policy Manag. 42(2), 163–185.
  • Varela, J. M. ve Guedes Soares, C. (2015). Interactive 3D Desktop Ship Simulator for Testing and Training Offloading Manoeuvres. Applied Ocean Research, 51, 367–380. https://doi.org/10.1016/j.apor.2015.01.013
  • Varela, J. M. ve Soares, C. G. (2017). Geometry and Visual Realism of Ship Models for Digital Ship Bridge Simulators. Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, 231(1), 329–341. https://doi.org/10.1177/1475090216642470
  • Wang, X. H., Yang, S. H. ve Chen, G. Q. (2011). Design and Implement on Intelligent Target Ship for Ship Handling Simulator. Applied Mechanics and Materials, 97–98, 854–858. https://doi.org/10.4028/www.scientific.net/amm.97-98.854
  • Weber, R., Costa, N. A., Jakobsen, J. J., MacKinnon, S. N. ve Lundh, M. (2018). Assessing a Maritime Service Website Prototype in a Ship Bridge Simulator: Navigators’ Experiences and Perceptions of Novel e-Navigation Solutions. WMU Journal of Maritime Affairs, 17(4), 521– 542. https://doi.org/10.1007/s13437-018-0155-2
  • Winbow, A. (2000). Control of the Human Element. IFAC Proc.,33(21), 27–30. Xu, Q., Yang, Y., Zhang, C. ve Zhang, L. (2018). Deep Convolutional Neural Network-Based Autonomous Marine Vehicle Maneuver. International Journal of Fuzzy Systems, 20(2), 687–699. https://doi.org/10.1007/s40815-017-0393-z
  • Yang, S. ve Chen, G. (2011). Study on Dynamic Simulation System for Vessel’s Collision Process and its Application. Procedia Engineering, 15, 3875–3880. https://doi.org/10.1016/j.proeng.2011.08.725
  • Yang, S. H., Chen, G. Q., Wang, X. H. ve Yang, Y. B. (2011). Research on Network Communication Model of Intelligent Ship Handling Simulator. Applied Mechanics and Materials, 97–98, 787–793. https://doi.org/10.4028/www.scientific.net/amm.97-98.787
  • Yang, Y. F. ve Feng, M. K. (2014). A Comprehensive Experimental Practice for Ship Bridge Resource Management Training Based on Ship Handling Simulator. Advanced Materials Research, 989–994, 5423–5426. https://doi.org/10.4028/www.scientific.net/amr.989-994.5423
  • Yıldırım, U., Başar, E. ve Uğurlu, Ö. (2019). Assessment of Collisions and Grounding Accidents with Human Factors Analysis and Classification System (HFACS) and statistical methods, Saf. Sci., 119, 412–425.
  • Zhang, W., Goerlandt, F., Kujala, P. ve Qi, Y. (2018). A Coupled Kinematics Model for İcebreaker Escort Operations in İce-Covered Waters. Ocean Engineering, 167(August 2017), 317–333. https://doi.org/10.1016/j.oceaneng.2018.08.035
  • Ziarati R. ve Ziarati, M. (2007). Review of Accidents With Special References to Vessels with Automated Systems - A Way Forward. AES07, The Institute of Marine Engineering, Science & Technology(IMarEST).
Toplam 84 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Deniz İşletmeciliği, Deniz Ulaştırma Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Can Atacan 0000-0002-4490-7566

Anılcan Şenel 0009-0002-5802-3048

Gönderilme Tarihi 30 Ağustos 2025
Kabul Tarihi 31 Ekim 2025
Yayımlanma Tarihi 30 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 4 Sayı: 8

Kaynak Göster

APA Atacan, C., & Şenel, A. (2025). Deniz Kazalarının Önlenmesi: Denizcilik Eğitiminde Simülatör Senaryosu Oluşturma. Denizcilik Araştırmaları Dergisi: Amfora, 4(8), 1-25. https://doi.org/10.5281/zenodo.18089325

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