The outcome of implementing structured softes model as a post simulation debriefing strategy among marine trainees
Abstract
1. ABSTRACT: This research studies the impact of implementing the structured SOFTES model as a debriefing strategy after the simulation training on marine trainees. One hundred trainees were split to two groups, each group was fifty trainees and took a questionnaire that was used to collect data. The experimental group was trained on the SOFTES model with its simulation training and the control group took the normal training only. SOFTES model is examined through multiple factorial elements, which are; Student, Objectives, Facilitator, Time, Environment, and Skills competency. Descriptive analysis was used for variables and comparing analysis using the T-test was used to study the effect of SOFTES model on the self-analysing and self-evaluation of the trainees from two groups and indicate which group has better behaviour in analysing. The impact of implementing the SOFTES model on the trainees’ self-analysing was showed as a positive and significant. Also the difference between means was showed which indicates the experimental group has less anxiety and increased self-confidence than the control group.
Full Text:
PDFReferences
Agha, S., Alhamrani, A.Y. and Khan, M.A., 2015. Satisfaction of medical students with simulation based learning. Saudi medical journal, 36(6), p.731.
Al Shahin, R., 2017. The Effects of Marine Simulators on Training.
Benedict, K., Fischer, S., Gluch, M., Kirchhoff, M., Schaub, M., Baldauf, M. and Müller, B., 2017. Innovative fast time simulation tools for briefing/debriefing in advanced ship handling simulator training and ship operation. Transactions on Maritime Science, 6(01), pp.24-38.
Elashkar, M.A., 2016. The use of simulation techniques in the development of non-technical skills for marine officers. International Journal of General Engineering and Technology (IJGET), 5(5), pp.19-26.
Fan, S., Zhang, J., Blanco-Davis, E., Yang, Z., Wang, J. and Yan, X., 2018. Effects of seafarers’ emotion on human performance using bridge simulation. Ocean Engineering, 170, pp.111-119.
Heale, R. and Twycross, A., 2015. Validity and reliability in quantitative studies. Evidence-based
nursing, 18(3), pp.66-67.
Hjelmervik, K., Nazir, S. and Myhrvold, A., 2018. Simulator training for maritime complex tasks: an experimental study. WMU Journal of Maritime Affairs, 17(1), pp.17-30.
Lauronen, J., Ravyse, W., Salokorpi, M. and Luimula, M., 2020, July. Validation of virtual command bridge training environment comparing the VR-training with ship bridge simulation. In International Conference on Applied Human Factors and Ergonomics (pp. 444-451). Springer, Cham..
Li, G., Mao, R., Hildre, H.P. and Zhang, H., 2019. Visual attention assessment for expert-in-the-loop training in a maritime operation simulator. IEEE Transactions on Industrial Informatics, 16(1), pp.522-531.
Mahlanze, H.T. and , M.N., 2017. Perceptions of student nurses on the writing of reflective journals as a means for personal, professional and clinical learning development. Health SA Gesondheid, 22, pp.79-86.
Maung, C.T., 2019. Simulation training and assessment in maritime education and training.
Renganayagalu, S.K., Mallam, S., Nazir, S., Ernstsen, J. and Haavardtun, P., 2019. Impact of simulation fidelity on student self-efficacy and perceived skill development in maritime training.
Saastamoinen, K., Rissanen, A. and Linnervuo, R., 2019. Usage of simulators to boost marine corps learning. Procedia Computer Science, 159, pp.1011-1018.
Sellberg, C. and Lundin, M., 2018. Tasks and instructions on the simulated bridge: Discourses of temporality in maritime training. Discourse Studies, 20(2), pp.289-305.
Sellberg, C., 2017. Simulators in bridge operations training and assessment: a systematic review and qualitative synthesis. WMU Journal of Maritime Affairs, 16(2), pp.247-263.
Sellberg, C., 2018. From briefing, through scenario, to debriefing: the maritime instructor’s work during simulator-based training. Cognition, Technology & Work, 20(1), pp.49-62.
Shalaby, S.A. and Hassan, E.A., Outcome of implementing structured SWOT analysis as a post-clinical debriefing strategy among nursing students.
Shen, H., Zhang, J., Yang, B. and Jia, B., 2019. Development of an educational virtual reality training system for marine engineers. Computer Applications in Engineering Education, 27(3), pp.580-602.
Voloshynov, S.A., Popova, H.V., Dyagileva, O.S., Fedorova, O.V. and Bobrysheva, N.N., 2022, June. Seafarers high quality training provision by means of VR technologies in the context of maritime transport
Wahl, A.M., 2020. Expanding the concept of simulator fidelity: the use of technology and collaborative activities in training maritime officers. Cognition, Technology & Work, 22(1), pp.209-222.
Zghyer, R. and Ostnes, R., 2019. Opportunities and challenges in using ship-bridge simulators in maritime research
DOI: http://dx.doi.org/10.21622/MARLOG.2023.12.662
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Ashraf M. Elsayed
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The International Maritime Transport and Logistics Journal (MARLOG)
E-ISSN: 2974-3141
P-ISSN: 2974-3133
Published by:
Academy Publishing Center (APC)
Arab Academy for Science, Technology and Maritime Transport (AASTMT)
Alexandria, Egypt