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dc.contributor.authorAlhadad, Sakinah
dc.contributor.authorArnold, Kimberley
dc.contributor.authorBaron, Josh
dc.contributor.authorBayer, Ilana
dc.contributor.authorBrooks, Christopher
dc.contributor.authorLittle, Russ
dc.contributor.authorRocchio, Rosemary
dc.contributor.authorShehata, Shady
dc.contributor.authorWhitmer, John
dc.description.abstractEveryone from government agencies to mainstream press are looking for improvements in areas that typically fall under the umbrella of “student success.” Universities are seeing the potential that the vast quantities of data produced in their IT systems hold for addressing strategic challenges facing academia today. The combination of embedded administrative and academic technologies, big data, powerful analytical tools, and sophisticated data-mining techniques are poised to spark a revolution in how education is delivered and how the efficacy of that education is measured. It behooves institutional leaders to gain an understanding of this emerging field as means to guide their institutions into a future where learning data play an important role in the process of education. This paper aims to enable institutional leaders and practitioners to educate themselves about the emerging field of predictive learning analytics and understand how it will impact the higher education landscape.en_US
dc.subject.fieldofresearchEducation Systemsen_US
dc.titleThe Predictive Learning Analytics Revolution: Leveraging Learning Data for Student Successen_US
dc.type.descriptionU1_3 - Not for profiten_US
dcterms.bibliographicCitationBaron, J; Arnold, K; Bayer, I; Brooks, C; Little, R; Rocchio, R; Shehata, S; Whitmer, J; Alhadad, S, The Predictive Learning Analytics Revolution: Leveraging Learning Data for Student Success, 2015en_US
gro.hasfulltextNo Full Text
gro.griffith.authorAlhadad, Sakinah B.

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    Contains reports by Griffith authors published for government agencies, industry and other organisations.

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