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

doi:10.1109/IEEM58616.2023.10406321

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

Institut for Produktion og Erhvervsøkonomi

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer 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.

Originalsprog	Engelsk
Titel	2023 IEEE International Conference on Industrial Engineering and Engineering Management
Antal sider	5
Forlag	IEEE
Publikationsdato	2023
Sider	406-410
ISBN (Trykt)	9798350323160
ISBN (Elektronisk)	9798350323153
DOI	https://doi.org/10.1109/IEEM58616.2023.10406321
Status	Udgivet - 2023
Begivenhed	11th IEEE International Conference on Cloud Engineering, IC2E 2023 - Boston, USA Varighed: 25 sep. 2023 → 28 sep. 2023 Konferencens nummer: 11 https://conferences.computer.org/IC2E/2023/

Konference

Konference	11th IEEE International Conference on Cloud Engineering, IC2E 2023
Nummer	11
Land/Område	USA
By	Boston
Periode	25/09/2023 → 28/09/2023
Internetadresse	https://conferences.computer.org/IC2E/2023/

Emneord

Maritime education
Simulator training
Learning analytics
Learning dashboard
User perception

Adgang til dokumentet

10.1109/IEEM58616.2023.10406321Licens: Ikke-specificeret

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Citationsformater

@inproceedings{5d1e7705b2fa48378d61dce4f9ba5e95,

title = "User Requirements for Learning Analytics Dashboard in Maritime Simulator Training",

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.",

keywords = "Maritime education, Simulator training, Learning analytics, Learning dashboard, User perception, Maritime education, Simulator training, Learning analytics, Learning dashboard, User perception",

author = "Munim, {Ziaul Haque} and Hans-Joachim Schramm and Helene Krabbel and Franklin Nyairo and Per Haavardtun and Tae-eun Kim and Morten Bustgaard",

year = "2023",

doi = "10.1109/IEEM58616.2023.10406321",

language = "English",

isbn = "9798350323160",

pages = "406--410",

booktitle = "2023 IEEE International Conference on Industrial Engineering and Engineering Management",

publisher = "IEEE",

address = "United States",

note = "11th IEEE International Conference on Cloud Engineering, IC2E 2023, IC2E2023 ; Conference date: 25-09-2023 Through 28-09-2023",

url = "https://conferences.computer.org/IC2E/2023/",

}

Munim, ZH, Schramm, H-J, Krabbel, H, Nyairo, F, Haavardtun, P, Kim, T & Bustgaard, M 2023, User Requirements for Learning Analytics Dashboard in Maritime Simulator Training. i 2023 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, s. 406-410, 11th IEEE International Conference on Cloud Engineering, IC2E 2023, Boston, Massachusetts, USA, 25/09/2023. https://doi.org/10.1109/IEEM58616.2023.10406321

User Requirements for Learning Analytics Dashboard in Maritime Simulator Training. / Munim, Ziaul Haque; Schramm, Hans-Joachim; Krabbel, Helene et al.
2023 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 2023. s. 406-410.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - User Requirements for Learning Analytics Dashboard in Maritime Simulator Training

AU - Munim, Ziaul Haque

AU - Schramm, Hans-Joachim

AU - Krabbel, Helene

AU - Nyairo, Franklin

AU - Haavardtun, Per

AU - Kim, Tae-eun

AU - Bustgaard, Morten

N1 - Conference code: 11

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N2 - 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.

AB - 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.

KW - Maritime education

KW - Simulator training

KW - Learning analytics

KW - Learning dashboard

KW - User perception

KW - Maritime education

KW - Simulator training

KW - Learning analytics

KW - Learning dashboard

KW - User perception

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DO - 10.1109/IEEM58616.2023.10406321

M3 - Article in proceedings

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BT - 2023 IEEE International Conference on Industrial Engineering and Engineering Management

PB - IEEE

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