Multimedia learning analytics feedback in simulation-based training: A brief review

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dc.contributor.authorLe, Lai Hoangen
dc.contributor.authorNguyen, Hoang D.en
dc.contributor.authorCrane, Martinen
dc.contributor.authorMai, Tai Tanen
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2024-05-29T15:34:39Z
dc.date.available2024-05-29T15:34:39Z
dc.date.issued2024en
dc.description.abstractLearning analytics has gained significant attention in recent years, particularly in the healthcare field. This area of research offers valuable insights to educators, students, and researchers to enhance the quality of education. One area of focus in learning analytics is how stakeholders provide feedback to each other during training in operating theatres. With the availability of diverse multimedia elements, such as text, images, and spoken language, as data, employing effective feedback methods can bring substantial benefits to teachers, students, and researchers. This study synthesizes various approaches that apply multimedia to provide feedback in teaching, comparing and exploring their potential application in simulation-based medical training. The feasibility of input data, the effectiveness of feedback on recipients, and the AI method of generating or synthesizing feedback using existing data efficiency are also discussed in line with ethical standards. Finally, a multimedia feedback framework is proposed, which utilizes diverse multimedia formats and can be effectively implemented in various realworld scenarios.en
dc.description.sponsorshipScience Foundation Ireland (12/RC/2289-P2)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLe, L. H., Nguyen, H. D., Crane, M. and Mai, T. T. (2024) 'Multimedia learning analytics feedback in simulation-based training: A brief review', Proceedings of the 1st ACM Workshop on AI-Powered Q&A Systems for Multimedia (AIQAM ’24), Phuket, Thailand, 10 June 2024. New York, NY, USA: ACM, pp. 25-30. https://doi.org/10.1145/3643479.3662053en
dc.identifier.doihttps://doi.org/10.1145/3643479.3662053en
dc.identifier.endpage30
dc.identifier.isbn979-8-4007-0547-2/24/06en
dc.identifier.startpage25
dc.identifier.urihttps://hdl.handle.net/10468/15955
dc.language.isoenen
dc.publisherAssociation for Computing Machinery (ACM)en
dc.relation.ispartof1st ACM Workshop on AI-Powered Q&A Systems for Multimedia (AIQAM ’24), Phuket, Thailand, 10 June 2024.en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Centres for Research Training Programme::Data and ICT Skills for the Future/18/CRT/6223/IE/SFI Centre for Research Training in Artificial Intelligence/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/13/RC/2106_P2/IE/ADAPT_Phase 2/en
dc.rights© 2024, the Authors. This work is licensed under a Creative Commons Attribution International 4.0 License.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectLearning analyticsen
dc.subjectSimulation-based learningen
dc.subjectMultimedia feedbacken
dc.titleMultimedia learning analytics feedback in simulation-based training: A brief reviewen
dc.typeConference itemen
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