Bibliometric Analysis of Automated Assessment in Programming Education: A Deeper Insight into Feedback

dc.contributor.author Álvaro Figueira en
dc.contributor.author José Paulo Leal en
dc.contributor.other 5088 en
dc.contributor.other 5125 en
dc.date.accessioned 2023-08-02T08:14:14Z
dc.date.available 2023-08-02T08:14:14Z
dc.date.issued 2023 en
dc.description.abstract Learning to program requires diligent practice and creates room for discovery, trial and error, debugging, and concept mapping. Learners must walk this long road themselves, supported by appropriate and timely feedback. Providing such feedback in programming exercises is not a humanly feasible task. Therefore, the early and steadily growing interest of computer science educators in the automated assessment of programming exercises is not surprising. The automated assessment of programming assignments has been an active area of research for over a century, and interest in it continues to grow as it adapts to new developments in computer science and the resulting changes in educational requirements. It is therefore of paramount importance to understand the work that has been performed, who has performed it, its evolution over time, the relationships between publications, its hot topics, and open problems, among others. This paper presents a bibliometric study of the field, with a particular focus on the issue of automatic feedback generation, using literature data from the Web of Science Core Collection. It includes a descriptive analysis using various bibliometric measures and data visualizations on authors, affiliations, citations, and topics. In addition, we performed a complementary analysis focusing only on the subset of publications on the specific topic of automatic feedback generation. The results are highlighted and discussed. en
dc.identifier P-00Y-CBN en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/14203
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Bibliometric Analysis of Automated Assessment in Programming Education: A Deeper Insight into Feedback en
dc.type en
dc.type Publication en
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