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dc.contributor.authorHemmler, Yvonne M.
dc.contributor.authorIfenthaler, Dirk
dc.contributor.editorMandausch, Martin
dc.contributor.editorHenning, Peter A.
dc.date.accessioned2023-01-13T13:11:48Z
dc.date.available2023-01-13T13:11:48Z
dc.date.issued2022
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/39917
dc.description.abstractPersonalised and adaptive learning environments (PALE) are considered a promising invention for online further education, as they take the different prerequisites and backgrounds of learners into account. However, to what indicators (e.g., prior knowledge, interests) should PALE adapt? We conducted N = 37 interviews with German professionals to develop an empirical model of indicators for supporting PALE in online further education. Future research should build on the indicators identified in our interview study to design PALE for online further education.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI Workshops 2022
dc.relation.ispartofseriesDELFI
dc.subjectpersonalised and adaptive learning
dc.subjectonline further education
dc.subjectlearning context
dc.titleIndicators for supporting personalised and adaptive learning environments in online further education: An interview studyen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.reference.pages117-122
mci.conference.sessiontitleDELFI: Workshop
mci.conference.locationKarlsruhe
mci.conference.date12.-14. September 2022
dc.identifier.doi10.18420/delfi2022-ws-22


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