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Evaluation of a framework for the integrating of Learning Analytics in Virtual Reality

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dc.contributor.authorGörzen, Sergej
dc.contributor.authorHeinemann, Birte
dc.contributor.authorSchroeder, Ulrik
dc.contributor.editorKiesler, Natalie
dc.contributor.editorSchulz, Sandra
dc.date.accessioned2024-10-21T10:40:34Z
dc.date.available2024-10-21T10:40:34Z
dc.date.issued2024
dc.description.abstractThe sustainable integration of Learning Analytics (complying with the FAIR principles) in an eXtended Reality application is complex. Following an iterative process, a framework and ecosystem were developed to overcome this and provide guidance for producing research software with reproducibility, reusability, and accuracy in mind. Using the solution, the requirements for new projects have been seamlessly expanded. We observed seven Computer Science students while integrating Learning Analytics into a Virtual Reality application to explore the current state of the framework and ecosystem regarding productivity, workflow, usability, functionality, and challenges. This paper presents and reflects the method and results of our observation study.en
dc.identifier.doi10.18420/delfi2024-ws-16
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45030
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI Workshops 2024
dc.relation.ispartofseriesDELFI
dc.subjectVirtual Reality
dc.subjectLearning Analytics
dc.subjectFramework evaluation
dc.subjectSoftware Ecosystem
dc.subjectResearch Software Engineering
dc.titleEvaluation of a framework for the integrating of Learning Analytics in Virtual Realityen
dc.typeText/Conference Paper
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleDELFI: Workshop
mci.document.qualitydigidoc
mci.reference.pages119-126

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