Logo des Repositoriums
 

Identification of Hidden Structures in the Reference Network of E-Assessment Systems

dc.contributor.authorWeickenmeier, Viola
dc.contributor.authorStrickroth, Sven
dc.contributor.editorGreubel, André
dc.contributor.editorStrickroth, Sven
dc.contributor.editorStriewe, Michael
dc.date.accessioned2023-10-16T04:38:42Z
dc.date.available2023-10-16T04:38:42Z
dc.date.issued2023
dc.description.abstractUsing e-assessment systems, such as automated graders or automated feedback systems, is quite common in programming courses. Various tools have been developed to support students and teachers in learning and teaching programming. For overviews, comparisons of tools, and the identification of categories, a number of literature surveys and reviews have been carried out manually. This study does not try to find new systems, but uses (social) network analysis and citation data to identify important/influential systems as well as connections and similarities between systems in an existing corpus. The references were automatically extracted from the scientific publications related to these systems. Using these analyses, different types of communities and influential systems could be identified. Furthermore, there seem to be two types of references, those that simply mention a system and those that discuss specific features in more detail.en
dc.identifier.doi10.18420/abp2023-5
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/42568
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of the Sixth Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2023)
dc.relation.ispartofseriesWorkshop „Automatische Bewertung von Programmieraufgaben“
dc.subjectreference analysis
dc.subjecte-assessment systems
dc.subject(social) network analysis
dc.subjectmodularity clustering
dc.titleIdentification of Hidden Structures in the Reference Network of E-Assessment Systemsen
dc.typeText/Conference Paper
gi.conference.dateOctober 12-13, 2023
gi.conference.locationMunich, Germany
gi.conference.sessiontitleVollbeiträge

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
paper5.pdf
Größe:
206.93 KB
Format:
Adobe Portable Document Format