How Five Newly Created Reports Using Analytics Informed and Surprised One Distance Learning Administrator
Keywords
analytics, continuing education, distance learning, reports
Abstract
The purpose of this paper is to identify and explain the best practice of using “big data” reports to help distance learning administrators better understand their own programs and represent them to stakeholders. The authors examine five reports: (1) the number and percentage of graduates from the main campus who also take classes at the branch campus; (2) an understanding of how enrollment patterns can aid in decisions to cancel or retain classes; (3) an analysis of the number of non-matriculated students who eventually matriculate; (4) a comparison of the number of students who retake classes at the branch and main campuses; and (5) the correlation between courses offered and courses required for the main campus majors and minors. The reports are designed to answer specific questions and to dispel inaccurate assumptions by creating data to use in evaluating programs and their effectiveness.
Original Publication Citation
https://www.westga.edu/~distance/ojdla/winter204/howell_le204.html
BYU ScholarsArchive Citation
Howell, Scott L. and Le, Beihe Sunny, "How Five Newly Created Reports Using Analytics Informed and Surprised One Distance Learning Administrator" (2017). Faculty Publications. 2045.
https://scholarsarchive.byu.edu/facpub/2045
Document Type
Peer-Reviewed Article
Publication Date
2017-12-15
Permanent URL
http://hdl.lib.byu.edu/1877/3999
Publisher
Online Journal of Distance Learning Administration
Language
English
Link to Data Set(s)
https://www.westga.edu/~distance/ojdla/winter204/howell_le204.html
College
David O. McKay School of Education
Department
Instructional Psychology and Technology
Copyright Use Information
http://lib.byu.edu/about/copyright/