Investigating Feedback Types in JupyterLab for Programming Novices
dc.contributor.author | Brocker, Annabell | |
dc.contributor.author | Schroeder, Ulrik | |
dc.contributor.editor | Röpke, René | |
dc.contributor.editor | Schroeder, Ulrik | |
dc.date.accessioned | 2023-08-30T09:09:34Z | |
dc.date.available | 2023-08-30T09:09:34Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Providing 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.doi | 10.18420/delfi2023-19 | |
dc.identifier.isbn | 978-3-88579-732-6 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/42178 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | 21. Fachtagung Bildungstechnologien (DELFI) | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-322 | |
dc.subject | Jupyter | |
dc.subject | Feedback | |
dc.subject | Programming | |
dc.subject | Novices | |
dc.title | Investigating Feedback Types in JupyterLab for Programming Novices | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 108 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 103 | |
gi.conference.date | 11.-13. September 2023 | |
gi.conference.location | Aachen | |
gi.conference.review | full | |
gi.conference.sessiontitle | E-Assessment und Feedback |
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