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Investigating Feedback Types in JupyterLab for Programming Novices

dc.contributor.authorBrocker, Annabell
dc.contributor.authorSchroeder, Ulrik
dc.contributor.editorRöpke, René
dc.contributor.editorSchroeder, Ulrik
dc.date.accessioned2023-08-30T09:09:34Z
dc.date.available2023-08-30T09:09:34Z
dc.date.issued2023
dc.description.abstractProviding valuable, actionable feedback, such as small-step hints and explanations of errors and misconceptions, is essential for guiding novice programmers towards solutions while fostering their code development. This paper presents a comprehensive review of feedback types, available within the interactive programming environment JupyterLab. We distinguish between lower-level, immediate feedback during programming and higher-level, follow-up feedback for reoccurring misconceptions and problems over time. We further discuss potential extensions to provide even more feedback in JupyterLab, such as valuation and recognition of correct activities.en
dc.identifier.doi10.18420/delfi2023-19
dc.identifier.isbn978-3-88579-732-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/42178
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof21. Fachtagung Bildungstechnologien (DELFI)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-322
dc.subjectJupyter
dc.subjectFeedback
dc.subjectProgramming
dc.subjectNovices
dc.titleInvestigating Feedback Types in JupyterLab for Programming Novicesen
dc.typeText/Conference Paper
gi.citation.endPage108
gi.citation.publisherPlaceBonn
gi.citation.startPage103
gi.conference.date11.-13. September 2023
gi.conference.locationAachen
gi.conference.reviewfull
gi.conference.sessiontitleE-Assessment und Feedback

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