A Framework for Informal Learning Analytics - Evidence from the Literacy Domain

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dc.contributor.authorRizk, Aya
dc.contributor.authorRodriguez, Adrian
dc.date.accessioned2020-12-24T19:17:24Z
dc.date.available2020-12-24T19:17:24Z
dc.date.issued2021-01-05
dc.description.abstractMultidisciplinary approaches to learning analytics (LA) have the potential to provide important insights into student learning beyond interactions within learning management systems (LMS). In this paper we demonstrate the benefits of such an approach by proposing a framework that adds the contextual elements of task design, tools and technologies and datasets to established LA processes. Our framework was developed as a design science research (DSR) artifact, working with teachers of English at two Swedish secondary schools. The results highlight the importance of valid task design for generating relevant, useful insights and provide a basis for simplifying and automating in-situ LA that can be used by teachers in their everyday work. The study also provided important insights for the field of online research and comprehension (ORC) both in relation to methodology and how students engage with a task that requires locating and synthesizing information on the open Internet in a second language.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.183
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/70795
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLearning Analytics
dc.subjectdesign science
dc.subjectinformal learning
dc.subjectlearning analytics
dc.subjectliteracy
dc.titleA Framework for Informal Learning Analytics - Evidence from the Literacy Domain
prism.startingpage1509

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