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

dc.contributor.author Rizk, Aya
dc.contributor.author Rodriguez, Adrian
dc.date.accessioned 2020-12-24T19:17:24Z
dc.date.available 2020-12-24T19:17:24Z
dc.date.issued 2021-01-05
dc.description.abstract Multidisciplinary 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.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.183
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/70795
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Learning Analytics
dc.subject design science
dc.subject informal learning
dc.subject learning analytics
dc.subject literacy
dc.title A Framework for Informal Learning Analytics - Evidence from the Literacy Domain
prism.startingpage 1509
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