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- Title
EXAMINING THE APPLICATION OF BIG DATA ANALYTICS TO INCREASE UNIVERSITY RETENTION AND PROMOTE STUDENT SUCCESS.
- Authors
Strausser, Jody
- Abstract
One of the driving forces for using big data analytics in education is the need to improve the retention rate among college students. Much of the student retention effort has been focused on providing support for students in their freshman year; however, the Educational Advisory Board (EAB) describes a series of students who successfully completed their freshman year with grade point averages between 2.0 and 3.0 but ultimately do not wind up graduating. These students perform well enough to not raise any flags, but often do not complete their major studies. Big Data tools can apply historical data and predictive analytics to educators in assisting students in completing their majors. As big data usage continues to evolve, it is hoped that historical data and predictive analytics can better support student success.
- Subjects
BIG data; ANALYTICAL entry (Cataloging); COLLEGE dropouts
- Publication
Issues in Information Systems, 2015, Vol 16, Issue 2, p140
- ISSN
1529-7314
- Publication type
Article