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.
Original language | English |
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Title of host publication | 2023 IEEE International Conference on Industrial Engineering and Engineering Management |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 2023 |
Pages | 406-410 |
ISBN (Print) | 9798350323160 |
ISBN (Electronic) | 9798350323153 |
DOIs | |
Publication status | Published - 2023 |
Event | 11th IEEE International Conference on Cloud Engineering, IC2E 2023 - Boston, United States Duration: 25 Sept 2023 → 28 Sept 2023 Conference number: 11 https://conferences.computer.org/IC2E/2023/ |
Conference
Conference | 11th IEEE International Conference on Cloud Engineering, IC2E 2023 |
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Number | 11 |
Country/Territory | United States |
City | Boston |
Period | 25/09/2023 → 28/09/2023 |
Internet address |
Keywords
- Maritime education
- Simulator training
- Learning analytics
- Learning dashboard
- User perception