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Analytics-Informed Design

Exploring Visualization of Learning Management Systems Recorded Data for Learning Design

Bibliographic Data

ID16913313
AuthorsQian Liu (0000-0001-7603-2146, University of Otago, corresponding author), Tehmina Gladman (0000-0002-5112-3460, University of Otago), J Muir (0000-0002-5666-2842, University of Otago), Chen Wang (0000-0003-3042-291X, University of Otago), Rebecca Grainger (0000-0001-9201-8678, University of Otago)
Year2023
Volume13
Issue3
Publication date2023-07-01
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440231193590
OpenAlexW4386103972
LanguageEN
References cited29

One apparent challenge associated with learning analytics (LA) has been to promote adoption by university educators. Researchers suggest that a visualization dashboard could serve to help educators use LA to improve learning design (LD) practice. We therefore used an educational design approach to develop a pedagogically useful and easy-to-use LA visualization solution to support data-informed LD. We interviewed four staff in a medical degree program at a New Zealand university, designed and piloted a dashboard, and evaluated it through interviews. As a proof-of-concept project, our study showed that educational design research could be meaningfully used to develop a visualization dashboard that is easy-to-use and useful. In particular, the preliminary design principles identified provide implications for practitioners who are seeking to use LA to inform LD. Finally, we reflect on the purpose of visualization dashboards in relation to the literature and identify areas for future developments

Analytics · Dashboard · Data mining · Data science · Data visualization · Knowledge management · Learning analytics · Learning Management · Visual analytics · Visualization · World Wide Web · Computer Science · Data Visualization and Analytics · E-Learning and Knowledge Management · Online Learning and Analytics · Artificial Intelligence

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