The Outcome Of Implementing Structured Softes Model As A Post Simulation Debriefing Strategy Among Marine Trainees

Ashraf M. Elsayed

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. 

Keywords


SOFTES - Simulation Training - Self-Analysing - Self-Evaluation.

Full Text:

PDF

References


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,

(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.,

Simulator training for maritime complex tasks: an

experimental study. WMU Journal of Maritime Affairs,

(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-

. Springer, Cham..

Li, G., Mao, R., Hildre, H.P. and Zhang, H.,

Visual attention assessment for expert-in-the-

loop training in a maritime operation simulator. IEEE Transactions on Industrial Informatics, 16(1), pp.522-

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-

Sellberg, C. and Lundin, M., 2018. Tasks and

instructions on the simulated bridge: Discourses of temporality in maritime training. Discourse Studies,

(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

sustainability. In IOP Conference Series:

Earth and Environmental Science (Vol. 1049, No. 1, p.

. IOP Publishing.

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: https://dx.doi.org/10.21622/MARLOG.2023.12.1.001

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Ashraf M. Elsayed

Creative Commons License
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