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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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Blume, Grant; Meza, Elizabeth Apple – Community College Research Initiatives, 2019
Community college is a gateway to postsecondary education for millions of college students in the United States yet only 13% of those intending to earn a bachelor's degree do so within six years of enrolling (Shapiro et al., 2017). The process of transferring from one postsecondary institution to another is fraught with structural, financial, and…
Descriptors: Community Colleges, College Transfer Students, Two Year College Students, Institutional Cooperation
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Ryan, Sarah; Kaufman, Julia; Greenhouse, Joel; She, Ruicong; Shi, Judy – Community College Journal of Research and Practice, 2016
Whether through the use of online-only or hybrid/blended formats, colleges and universities across the country are increasingly utilizing online platforms as a medium for the delivery of instruction. At the same time, we know little about how student learning outcomes are related to students' engagement with online instructional formats. In…
Descriptors: Community Colleges, Two Year College Students, Blended Learning, Online Courses
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Clotfelter, Charles T.; Ladd, Helen F.; Muschkin, Clara; Vigdor, Jacob L. – Educational Evaluation and Policy Analysis, 2015
This article contributes to the empirical literature on remediation in community colleges by using policy variation across North Carolina's community colleges to examine how remediation affects various outcomes for traditional-age college students. We find that being required to take a remedial course (as we define it in this article) either in…
Descriptors: Developmental Studies Programs, Remedial Instruction, Community Colleges, Program Effectiveness
Frye, Bobbie Jean – ProQuest LLC, 2014
Traditionally, modeling student retention has been done by deriving student success predictors and measuring the likelihood of success based on several background factors such as age, race, gender, and other pre-college variables, also known as the input-output model. Increasingly, however, researchers have used mediating factors of the student…
Descriptors: Scores, Two Year College Students, Academic Persistence, Developmental Studies Programs
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Attewell, Paul; Jang, Sou Hyun – Research in Higher Education Journal, 2013
The summer school sessions that colleges offer their undergraduates are sometimes considered supplementary activities and are rarely perceived as central to a college's mission or effectiveness. However, analyses of college transcript data that tracked a nationally-representative sample of undergraduates for several years and through multiple…
Descriptors: Summer Schools, Undergraduate Students, Program Effectiveness, Academic Persistence
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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
Sanchez, Edgar I. – ACT, Inc., 2013
This study examines the differential effects on student subgroups of using the ACT® College Readiness Assessment Composite (ACTC) score and high school grade point average (HSGPA) for making admission decisions. The subgroup characteristics investigated include race/ethnicity, gender, and income. For each student subgroup, we examine the effect of…
Descriptors: College Readiness, Scores, Grade Point Average, High School Students