Abstract:
This study investigates user requirements for the design of a Learning Analytics Dashboard (LAD) tailored for assessment in maritime simulator training. User requirements...Show MoreMetadata
Abstract:
This study investigates user requirements for the design of a Learning Analytics Dashboard (LAD) tailored for assessment in maritime simulator training. User requirements for LAD components and visualization elements were examined. Further, perceptions towards the integration of LAD in performance assessment was explored using Likert-scale questions. Data was collected from three Nordic maritime institutions. Situational awareness emerged as the most important component of a maritime LAD, with heat maps preferred for visualization. Both teachers and students have positive perceptions towards the utilization of LAD. Disparities in user requirement and perception towards LAD use across universities, study levels, and simulator modality experience were explored. These insights are pivotal for the advancement and tailoring of LADs in maritime simulator training contexts.
Published in: 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Date of Conference: 18-21 December 2023
Date Added to IEEE Xplore: 01 February 2024
ISBN Information: