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Enhancing educational insights: A real-time data analytics stack for project-basedlearning

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dc.contributor.authorGücük, Gian-Luca
dc.contributor.authorSimic, Dejan
dc.contributor.authorLeible, Stephan
dc.contributor.authorLewandowski, Tom
dc.contributor.authorKučević, Emir
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:25Z
dc.date.available2023-11-29T14:50:25Z
dc.date.issued2023
dc.description.abstractThis paper presents a real-time data analytics (DA) stack designed for a project-based course utilizing Jira for project management at a university. The DA stack follows an Extract, Transform, and Load process to visualize students’ usage data within dashboards. The DA stack supports course management by providing insights into students’ activities and progress. We demonstrate the DA stack’s effectiveness through an evaluative case study, which was found to support course objectives and foster improved behavioral adaptations from lecturers to students. Furthermore, we propose a generic DA stack for generalizing and adopting it for similar applications, considering the extensibility and maintainability inherent in the open-source tools used. Moreover, we provide the GitHub repository to view our source code. This study contributes to the relatively underexplored field of real-time learning analytics and offers a starting point for the customization and adoption of the proposed DA stack in different educational contexts.en
dc.identifier.doi10.18420/inf2023_196
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43125
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectLearning analytics
dc.subjecteducational data mining
dc.subjectdata analytics
dc.subjectproject-based learning
dc.subjectbusiness intelligence
dc.titleEnhancing educational insights: A real-time data analytics stack for project-basedlearningen
dc.typeText/Conference Paper
gi.citation.endPage1971
gi.citation.publisherPlaceBonn
gi.citation.startPage1963
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleWirtschaft, Management & Industrie - Skills and Qualifications for a Digitalized Future (SKILLS’23)

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten