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Relation between struggle and learning personality in programming exercises

dc.contributor.authorDeriyeva, Alina
dc.contributor.authorDannath, Jesper
dc.contributor.authorPaaßen, Benjamin
dc.contributor.editorSchulz, Sandra
dc.contributor.editorKiesler, Natalie
dc.date.accessioned2024-09-03T16:26:20Z
dc.date.available2024-09-03T16:26:20Z
dc.date.issued2024
dc.description.abstractPersonality-related characteristics can have an impact on learning experiences and learning outcomes. Moreover, understanding learning approaches of students can help to make personalized pedagogical decisions. Particularly, this has a potential to improve learning outcomes and mitigate user attrition in digital learning environments (DLEs). We hypothesize that persistent individual characteristics may influence a learners’ tendency to struggle during programming exercises. In a study within a digital learning environment for Python programming (N=55), we evaluated the relation between learners’ self-reported personality characteristics and their tendency to struggle during the exercises. We find that, in our sample, some problem solving approaches and all learning preferences are related to struggle indicators. These results indicate that it may be helpful to include personality-related features, like problem solving strategies, as context information for pedagogical modeling in DLEs.en
dc.identifier.doi10.18420/delfi2024_46
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44530
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI 2024
dc.relation.ispartofseriesDELFI
dc.subjectProgramming Education
dc.subjectStruggle
dc.subjectLearning Personality
dc.subjectLearner Modeling
dc.titleRelation between struggle and learning personality in programming exercisesen
dc.typeText/Conference poster
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleDemo und Poster Session
mci.document.qualitydigidoc
mci.reference.pages485-489

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