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Workshop Learning Analytics: Study Path and Curriculum Analytics

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dc.contributor.authorCohausz, Lea
dc.contributor.authorBaucks, Frederik
dc.contributor.authorSeidel, Niels
dc.contributor.editorKiesler, Natalie
dc.contributor.editorSchulz, Sandra
dc.date.accessioned2024-10-21T10:40:35Z
dc.date.available2024-10-21T10:40:35Z
dc.date.issued2024
dc.description.abstractLearning analytics holds substantial potential for understanding learners and educational environments. Yet, the study of curriculum analytics and learner pathways is still a developing field, often limited to isolated studies of specific courses and programs. Researchers in Germany and the European Union face legal restrictions (e.g., GDPR) and data quality issues, which limit access to comprehensive data. These limitations hinder understanding factors influencing student success and study duration, which affects improving curricula. The workshop features expert presenters who offer diverse perspectives on these topics, sharing their insights, models, and tools to support stakeholders, including students, teachers, and university administrations. Subsequent discussions among the interdisciplinary participants from the German and Austrian areas highlight the current situation and pave the way for future curriculum analytics.en
dc.identifier.doi10.18420/delfi2024-ws-35
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45051
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI Workshops 2024
dc.relation.ispartofseriesDELFI
dc.subjectLearning Analytics
dc.subjectCurriculum Analytics
dc.subjectStudy Path Analytics
dc.titleWorkshop Learning Analytics: Study Path and Curriculum Analyticsen
dc.typeText
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleDELFI: Workshop
mci.document.qualitydigidoc
mci.reference.pages237-244

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