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Volchok, Edward – Community College Journal of Research and Practice, 2018
This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…
Descriptors: Community Colleges, Success, Blended Learning, Models
Hale, Jacqueline M.; Bray, Nathaniel J. – Community College Journal of Research and Practice, 2011
This study compares the impact of timing of registration on the student learning outcomes of students taking courses at three rural community colleges in the southeastern U.S. during the school years 2001-2003. Findings from this study indicate that early registration has a positive influence on students' grades and course completion rates. Also…
Descriptors: Academic Achievement, School Registration, Academic Advising, Time Perspective
Kowski, Lynne E. – Community College Journal of Research and Practice, 2013
Predicting student success has long been a question of interest for postsecondary admission counselors throughout the United States. Past research has examined the validity of several methods designed for predicting undergraduate success. High school record, standardized test scores, extracurricular activities, and combinations of all three have…
Descriptors: Predictor Variables, Prediction, Standardized Tests, Scores
Kotamraju, Pradeep; Blackman, Orville – Community College Journal of Research and Practice, 2011
The paper uses the Integrated Postsecondary Education Data system (IPEDS) data to simulate the 2020 American Graduation Initiative (AGI) goal introduced by President Obama in the summer of 2009. We estimate community college graduation rates and completion numbers under different scenarios that include the following sets of variables: (a) internal…
Descriptors: Community Colleges, Graduation Rate, Educational Attainment, Predictor Variables

Tharp, Jack – Community College Journal of Research and Practice, 1998
Measures persistence rate differences between two-year-degree and four-year-degree students, using a longitudinal retention study that analyzed academic and demographic variables in the student database. Identifies first-semester hours and grade point average as significant dropout predictors. Concludes that associate degree students have better…
Descriptors: Academic Achievement, Academic Persistence, Associate Degrees, Evaluation Methods