Title

Analytics That Inform The University: Using Data You Already Have

Keywords

Action analytics; Actionable research; Big data; Impact evaluation; Online courses; Top-down/bottom-up

Abstract

The authors describe the university of central Florida's top-down/bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors outcomes attributable to distributed learning, including student ratings and student success. Combined, this top-down/bottom up approach becomes a powerful means for using large extant university datasets to provide significant insights that can be instrumental in strategic planning.

Publication Date

1-1-2012

Publication Title

Journal of Asynchronous Learning Network

Volume

16

Issue

3

Number of Pages

21-38

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.24059/olj.v16i3.276

Socpus ID

84872295992 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84872295992

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