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

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dc.check.date2024-06-11en
dc.check.infoAccess to this article is restricted until after the conference has taken placeen
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.versionAccepted 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', 1st ACM Workshop on AI-Powered Q&A Systems for Multimedia (AIQAM ’24), Phuket, Thailand, 10 June 2024. New York, NY, USA: ACM, 6pp. https://doi.org/10.1145/3643479.3662053en
dc.identifier.doihttps://doi.org/10.1145/3643479.3662053en
dc.identifier.endpage6en
dc.identifier.isbn979-8-4007-0547-2/24/06en
dc.identifier.startpage1en
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. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third party components of this work must be honored. For all other uses, contact the owner/author(s).en
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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