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dc.contributor.authorKazimiers, Antje
dc.contributor.authorMorgenstern, Martin
dc.contributor.authorLeonhardt, Thiemo
dc.contributor.authorBergner, Nadine
dc.contributor.editorMandausch, Martin
dc.contributor.editorHenning, Peter A.
dc.date.accessioned2023-01-13T13:11:52Z
dc.date.available2023-01-13T13:11:52Z
dc.date.issued2022
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/39933
dc.description.abstractSince Python is a popular language to teach programming to novices, there is a need for programming exercises which require knowledge of basic concepts of imperative programming. At the same time, educators have an interest in giving individual feedback which guides students to improve their results. We implement Python programming exercises in the automatic assessment system ArTEMiS and explore the possibilities to provide formative elaborated feedback and hints which support learning.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI Workshops 2022
dc.relation.ispartofseriesDELFI
dc.subjectautomated feedback
dc.subjectlearning programming
dc.subjectprogramming exercises
dc.titleNovice-friendly Feedback for Python Tasks in ArTEMiSen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.reference.pages235-241
mci.conference.sessiontitleDELFI: Workshop
mci.conference.locationKarlsruhe
mci.conference.date12.-14. September 2022
dc.identifier.doi10.18420/delfi2022-ws-72


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