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Scenario Design, Data Measurement, and Analysis Approaches in Maritime Simulator Training: A Systematic Review

Permanent lenke
https://hdl.handle.net/10037/33122
DOI
https://doi.org/10.1007/978-3-031-42134-1_4
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Åpne
MIS4TEL_2023_paper_1935.pdf (255.7Kb)
Akseptert manusversjon (PDF)
Dato
2023-08-29
Type
Chapter
Bokkapittel

Forfatter
Munim, Ziaul Haque; Krabbel, Helene Luise Sonna; Haavardtun, Per; Kim, Tae Eun; Bustgaard, Morten; Thorvaldsen, Haakon
Sammendrag
Developing objective assessment approach in maritime simulator training can be a highly challenging task due to the complexity of simulating realistic scenarios, capturing relevant performance indicators and establishing good assessment protocols. This study provides a synthesis of simulation scenario contexts, data collection tools, and data analysis approaches in published simulator training studies. A systematic literature review (SLR) approach was followed for identifying the relevant studies for in-depth content analysis. The findings reveal that the reviewed studies focused on full-mission simulator-based assessment using collected data from various tools including surveys, eye-tracking, ECG, video or voice recording etc. The findings hold relevance in the development of learning analytics for facilitating objective assessment in maritime simulator training.
Forlag
Springer Nature
Sitering
Munim ZH, Krabbel, Haavardtun P, Kim T, Bustgaard M, Thorvaldsen H: Scenario Design, Data Measurement, and Analysis Approaches in Maritime Simulator Training: A Systematic Review. In: Kubincová Z, Caruso, Kim, Ivanova M, Lancia L, Pellegrino MA. Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference, 2023. Springer Nature p. 39-47
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  • Artikler, rapporter og annet (teknologi og sikkerhet) [361]
Copyright 2023 The Author(s)

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