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Correlation of Error Metrics in Python CS1 Courses

dc.contributor.authorBrocker, Annabell
dc.contributor.authorSchroeder, Ulrik
dc.contributor.editorSchulz, Sandra
dc.contributor.editorKiesler, Natalie
dc.date.accessioned2024-09-03T16:26:19Z
dc.date.available2024-09-03T16:26:19Z
dc.date.issued2024
dc.description.abstractTimely and effective feedback is essential for novice programmers. Despite significant advancements in Large Language Models enabling the generation of understandable feedback in CS1 courses, determining appropriate timing for delivering feedback automatically remains a persistent challenge. Compiler messages serve as a fundamental communication channel between programmers and computers, signaling syntactic and runtime errors. Various metrics associated with these messages could potentially signify the need for intervention. Hence, it is imperative to explore the correlations among these error metrics. This study conducts a comprehensive analysis of multiple public Python datasets to evaluate error metrics and explore their correlations. The findings offer insights into a potential indicator for determining appropriate timing of feedback in programming education.en
dc.identifier.doi10.18420/delfi2024_40
dc.identifier.eissn2944-7682
dc.identifier.issn2944-7682
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44524
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI 2024
dc.relation.ispartofseriesDELFI
dc.subjectProgramming
dc.subjectError Quotient
dc.subjectWatwin
dc.subjectRobuste Relative
dc.subjectRepeated Error Density
dc.subjectPython
dc.titleCorrelation of Error Metrics in Python CS1 Coursesen
dc.typeText/Conference paper
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleProgrammieren Lehren und Lernen in der Hochschule
mci.document.qualitydigidoc
mci.reference.pages441-448

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