Skip to main navigation Skip to search Skip to main content

Performance Assessment in Maritime Simulation Training using Dynamic Time Warping (DTW) classifier

  • Ziaul Haque Munim (Speaker)
  • Kim Tae-Eun (Contributor)
  • Robert Grundmann (Contributor)
  • Schramm, H. (Speaker)

Activity: Talk or presentation › Science to science

Description

This study employed a Dynamic Time Warping (DTW) classifier algorithm to understand and predict the performance of the students participating in the ship simulation, which could enable identification of variations and time varying patterns, dynamic modeling of performance trends and accurate prediction of performance outcomes. The results indicated identical classification by DTW algorithm with expert assessment. This implies that the DTW algorithm has the potential to effectively capture the student performance in the simulated Williamson Turn navigation scenario. The proposed approach is useful in developing a predictive learning analytics dashboard (LAD) for maritime training to gain insights into performance trend and areas for improvement.
Period26 Jun 2024 → 28 Jun 2024
Event titleIAME Conference 2024
Event typeConference
LocationValencia, SpainShow on map
Degree of RecognitionInternational

Keywords

  • Seafarer Training; Simulator Training; Learning Analytics; Machine Learning;

Documents & Links