Enhancing educational insights: A real-time data analytics stack for project-basedlearning
| dc.contributor.author | Gücük, Gian-Luca | |
| dc.contributor.author | Simic, Dejan | |
| dc.contributor.author | Leible, Stephan | |
| dc.contributor.author | Lewandowski, Tom | |
| dc.contributor.author | Kučević, Emir | |
| dc.contributor.editor | Klein, Maike | |
| dc.contributor.editor | Krupka, Daniel | |
| dc.contributor.editor | Winter, Cornelia | |
| dc.contributor.editor | Wohlgemuth, Volker | |
| dc.date.accessioned | 2023-11-29T14:50:25Z | |
| dc.date.available | 2023-11-29T14:50:25Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | This 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.doi | 10.18420/inf2023_196 | |
| dc.identifier.isbn | 978-3-88579-731-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43125 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | INFORMATIK 2023 - Designing Futures: Zukünfte gestalten | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-337 | |
| dc.subject | Learning analytics | |
| dc.subject | educational data mining | |
| dc.subject | data analytics | |
| dc.subject | project-based learning | |
| dc.subject | business intelligence | |
| dc.title | Enhancing educational insights: A real-time data analytics stack for project-basedlearning | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 1971 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 1963 | |
| gi.conference.date | 26.-29. September 2023 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Wirtschaft, Management & Industrie - Skills and Qualifications for a Digitalized Future (SKILLS’23) |
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