Abstract
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.
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This research is funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101060107.
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Munim, Z.H., Krabbel, H., Haavardtun, P., Kim, TE., Bustgaard, M., Thorvaldsen, H. (2023). Scenario Design, Data Measurement, and Analysis Approaches in Maritime Simulator Training: A Systematic Review. In: Kubincová, Z., Caruso, F., Kim, Te., Ivanova, M., Lancia, L., Pellegrino, M.A. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference. MIS4TEL 2023. Lecture Notes in Networks and Systems, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-031-42134-1_4
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DOI: https://doi.org/10.1007/978-3-031-42134-1_4
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