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Identification of Hidden Structures in the Reference Network of E-Assessment Systems
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2023
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Gesellschaft für Informatik e.V.
Zusammenfassung
Using 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.