I-MASTER

Start date: September 1, 2022

End date: August 31, 2026

Deliverables by the USN team

Journal Articles

  1. Munim, Z. H., Kjeldsberg, F., Bustgaard, M., Bhagat, S., Haavardtun, P., Kim, T. E., … & Lampiola, J. (2025). Predictive Performance Assessment in Simulation Training using Machine Learning. International Journal of Artificial Intelligence in Education, https://doi.org/10.1007/s40593-025-00464-y
  2. Munim, Z. H., Kjeldsberg, F., Kim, T. E., & Bustgaard, M. (2025). Prediction accuracy in maritime simulator training performance assessment with varying data frequency. Array, 100489. https://doi.org/10.1016/j.array.2025.100489
  3. Fang’s paper under review in journals

Conference proceedings or book chapters

  1. Kim, T. E., Praetorius, G., & Munim, Z. H. (2025). Customized Maritime Education and Training Path (C-Path) for Aspiring and Current Ship Navigators. https://doi.org/10.54941/ahfe1006547
  2. Krabbel, H., Munim, Z. H., Bustgaard, M., Lindroos, E. (2024). Factors affecting the system usability of a maritime learning analytics dashboard prototype. In International Conference in Methodologies and intelligent Systems for Technology Enhanced Learning (MIS4TEL 2024), Salamanca, Spain. https://doi.org/10.1007/978-3-031-84170-5_2
  3. Bhagat, S., Munim, Z. H. (2024). Application of image recognition in nautical simulator training assessment. In International Conference in Methodologies and intelligent Systems for Technology Enhanced Learning (MIS4TEL 2024), Salamanca, Spain. https://doi.org/10.1007/978-3-031-84170-5_6
  4. Kjeldsberg, F., Munim, Z. H., Bustgaard, M., Bhagat, S., Lindroos, E., Haavardtun, P. (2024). Sensitivity of predictive performance assessment accuracy in varying k-fold cross validation. In International Conference in Methodologies and intelligent Systems for Technology Enhanced Learning (MIS4TEL 2024), Salamanca, Spain. https://doi.org/10.1007/978-3-031-84170-5_7
  5. Nyairo, F., Haavardtun, P., Lindroos, E., Munim, Z. H., Lampiola, J., Salokorpi, M., Krabbel, H. (2024). Instructional Approaches for Simulator-Based Maritime Education and Training. In International Conference in Methodologies and intelligent Systems for Technology Enhanced Learning (MIS4TEL 2024), Salamanca, Spain. https://doi.org/10.1007/978-3-031-84170-5_11
  6. Munim, Z. H., Schramm, H. J., Krabbel, H., Nyairo, F., Haavardtun, P., Kim, T. E., Bustgaard, M. (2023). User requirements for learning analytics dashboard in maritime simulator training. In 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE. https://doi.org/10.1109/IEEM58616.2023.10406321
  7. Munim, Z. H., & Kim, T. E. (2023). A review of learning analytics dashboard and a novel application in maritime simulator training. Training, Education, and Learning Sciences, In Proceedings of the AHFE Conference. Vol. 109, pp 123-133. https://doi.org/10.54941/ahfe1003158
  8. Munim, Z. H., Krabbel, H., Haavardtun, P., Kim, T. E., Bustgaard, M., & Thorvaldsen, H. (2023). Scenario Design, Data Measurement, and Analysis Approaches in Maritime Simulator Training: A Systematic Review. In International Conference in Methodologies and intelligent Systems for Technology Enhanced Learning (MIS4TEL 2023) (pp. 39-47). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-42134-1_4
  9. Kim, T. E., Munim, Z. H., & Schramm, H. J. (2023). Exploring Alternative Performance Evaluation Method in Nautical Simulations. Training, Education, and Learning Sciences, In Proceedings of the AHFE Conference. Vol. 109, pp 94-101. https://doi.org/10.54941/ahfe1003155

Submitted Deliverable Reports

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