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Plagiarism Detection Approaches for Simple Introductory Programming Assignments

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dc.contributor.authorStrickroth, Sven
dc.contributor.editorGreubel, André
dc.contributor.editorStrickroth, Sven
dc.contributor.editorStriewe, Michael
dc.date.accessioned2021-11-15T05:03:42Z
dc.date.available2021-11-15T05:03:42Z
dc.date.issued2021
dc.description.abstractLearning to program is often perceived as hard by students and some students try to cheat. Plagiarisms are reported to be a huge problem particularly for summative-like assignments (e.g., crediting courses or bonus points). It is important to fight plagiarisms from early on – even for simple assignments. Especially for larger courses tool support is required. This paper provides an overview of features for commonly used plagiarism detection tools, discusses how these can be integrated into existing assessment systems, and how their results relate to each other for two data sets of quite simple assignments. Additionally, these specialized tools are compared with a simple Levenshtein distance approach. The paper also outlines limits on very simple assignments.en
dc.identifier.doi10.18420/abp2021-6
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37544
dc.language.isoen
dc.relation.ispartofProceedings of the Fifth Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2021),virtual event, October 28-29, 2021
dc.relation.ispartofseriesWorkshop „Automatische Bewertung von Programmieraufgaben“
dc.subjectautomatic assessment
dc.subjectplagiarism detection
dc.subjectprogramming education
dc.subjectlearning programming
dc.titlePlagiarism Detection Approaches for Simple Introductory Programming Assignmentsen
dc.typeText/Conference Paper
gi.conference.sessiontitleVollbeiträge „Automatische Messung von Programmeigenschaften“

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