Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/15306
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dc.contributor.authorNur Maisarah Shahril Khuzairien_US
dc.contributor.authorZaihisma Che Coben_US
dc.date.accessioned2020-09-07T09:10:48Z-
dc.date.available2020-09-07T09:10:48Z-
dc.date.issued2020-04-
dc.identifier.urihttp://dspace.uniten.edu.my/jspui/handle/123456789/15306-
dc.description.abstractThis study represents a review of Learning Analytics journals with the goal to examine reported research objectives, educational data collected and the intended end-user of the corresponding analysed data proposed by all current studies available in relevant databases. A total of 62 research articles were selected from an initial accumulation of 373 papers for this review. The findings present a clear divergence of Learning Analytics research into distinct subsets and it is revealed that the term “Learning Analytics” is labelled indiscriminately. We then show how a categorization of research subsets will prompt a reduction of term sprawl and also to avert confusion in the current education research environment. With this key points above we offer an approach to classify future Learning Analytics research into three specific subsets (student-centric, teacher-centric and institution-centric) based on identifiable criteria with the goal of fostering new avenues for future ground breaking research works in education.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Advanced Science and Technologyen_US
dc.subjectLearning Analyticsen_US
dc.subjectPedagogyen_US
dc.titleThe Divergence of Learning Analytics Researchen_US
dc.typeArticleen_US
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item.grantfulltextopen-
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