Evaluation of a framework for the integrating of Learning Analytics in Virtual Reality
| dc.contributor.author | Görzen, Sergej | |
| dc.contributor.author | Heinemann, Birte | |
| dc.contributor.author | Schroeder, Ulrik | |
| dc.contributor.editor | Kiesler, Natalie | |
| dc.contributor.editor | Schulz, Sandra | |
| dc.date.accessioned | 2024-10-21T10:40:34Z | |
| dc.date.available | 2024-10-21T10:40:34Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The 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.doi | 10.18420/delfi2024-ws-16 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/45030 | |
| dc.language.iso | en | |
| dc.pubPlace | Bonn | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Proceedings of DELFI Workshops 2024 | |
| dc.relation.ispartofseries | DELFI | |
| dc.subject | Virtual Reality | |
| dc.subject | Learning Analytics | |
| dc.subject | Framework evaluation | |
| dc.subject | Software Ecosystem | |
| dc.subject | Research Software Engineering | |
| dc.title | Evaluation of a framework for the integrating of Learning Analytics in Virtual Reality | en |
| dc.type | Text/Conference Paper | |
| mci.conference.date | 09.-11. September 2024 | |
| mci.conference.location | Fulda | |
| mci.conference.sessiontitle | DELFI: Workshop | |
| mci.document.quality | digidoc | |
| mci.reference.pages | 119-126 |
Dateien
Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
- Name:
- 01_goerzen_evaluation.pdf
- Größe:
- 297.44 KB
- Format:
- Adobe Portable Document Format