User Requirements for Learning Analytics Dashboard in Maritime Simulator Training

Ziaul Haque Munim, Hans-Joachim Schramm, Helene Krabbel, Franklin Nyairo, Per Haavardtun, Tae-eun Kim, Morten Bustgaard

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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 languageEnglish
Title of host publication2023 IEEE International Conference on Industrial Engineering and Engineering Management
Number of pages5
PublisherIEEE
Publication date2023
Pages406-410
ISBN (Print)9798350323160
ISBN (Electronic)9798350323153
DOIs
Publication statusPublished - 2023
Event11th IEEE International Conference on Cloud Engineering, IC2E 2023 - Boston, United States
Duration: 25 Sept 202328 Sept 2023
Conference number: 11
https://conferences.computer.org/IC2E/2023/

Conference

Conference11th IEEE International Conference on Cloud Engineering, IC2E 2023
Number11
Country/TerritoryUnited States
CityBoston
Period25/09/202328/09/2023
Internet address

Keywords

  • Maritime education
  • Simulator training
  • Learning analytics
  • Learning dashboard
  • User perception

Cite this