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Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Bailey, Brenda L. – New Directions for Institutional Research, 2006
Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)
Descriptors: Graduation Rate, Models, Data, Prediction
Byrne, Desiree Kornrum – Online Submission, 2006
The economic success of the state of Texas is dependent upon future market participants having access to higher education. The ability of Texas citizens to access higher education is dependent upon access to financial aid resources to pay for higher education. Much is known about the impact of particular financial aid outcomes on access and…
Descriptors: Program Effectiveness, Higher Education, Databases, Public Colleges