Clustering source code from automated assessment of programming assignments

Clustering of source code is a technique that can help improve feedback in automated program assessment. Grouping code submissions that contain similar mistakes can, for instance, facilitate the identification of students’ difficulties to provide targeted feedback. Moreover, solutions with similar f...

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Veröffentlicht in:	International journal of data science and analytics Jg. 20; H. 2; S. 1581 - 1592
Hauptverfasser:	Paiva, José Carlos, Leal, José Paulo, Figueira, Álvaro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.08.2025 Springer Nature B.V
Schlagworte:	Artificial Intelligence Business Information Systems Clustering Computational Biology/Bioinformatics Computer Science Data collection Data Mining and Knowledge Discovery Database Management Datasets Feedback Graphical representations Programming Regular Paper Run time (computers) Search algorithms Sorting algorithms Source code Students Undergraduate study Programming learning Programming assignments Semantic graph Clustering Automated assessment
ISSN:	2364-415X, 2364-4168
Online-Zugang:	Volltext
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