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Adaptive Learning Systems in Programming Education: A Prototype for Enhanced Formative Feedback

dc.contributor.authorLohr, Dominic
dc.contributor.authorBerges, Marc
dc.contributor.authorChugh, Abhishek
dc.contributor.authorStriewe, Michael
dc.contributor.editorSchulz, Sandra
dc.contributor.editorKiesler, Natalie
dc.date.accessioned2024-09-03T16:26:21Z
dc.date.available2024-09-03T16:26:21Z
dc.date.issued2024
dc.description.abstractFormative feedback is crucial in programming education, yet many learning systems fall short, concentrating mostly on pinpointing errors rather than guiding learners on how to resolve them. This is particularly unhelpful for novices who often lack advanced skills like debugging. Feedback is considered more valuable when it addresses error causes rather than just symptoms. However, this is challenging using only conventional methods like unit testing. Identifying error causes requires detailed information about both the error and the learner. Our proposed prototype introduces a new approach to integrating programming exercises into adaptive learning systems. It directly categorizes student code into so-called answer classes using a combination of static and dynamic code analysis. When integrated with data derived from a learner model, this approach enables tailored feedback that lowers the barrier to learning programming while keeping motivation high.en
dc.identifier.doi10.18420/delfi2024_57
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44542
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI 2024
dc.relation.ispartofseriesDELFI
dc.subjectprogramming education
dc.subjectadaptive feedback
dc.subjectCS1
dc.titleAdaptive Learning Systems in Programming Education: A Prototype for Enhanced Formative Feedbacken
dc.typeText/Conference demo
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleDemo und Poster Session
mci.document.qualitydigidoc
mci.reference.pages549-554

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